SlideShare a Scribd company logo
1 of 2
Download to read offline
Reliable, scalable, real-time integration
to relational databases
Splunk® DB Connect
F a c t S h e e t
data to drive end-to-end operational insights. The Splunk Tail
command can be use to detect updated or new rows in the
database by referencing time stamp values. Splunk DB Connect
also enables you to import data via periodic snapshots of the
database—where database tables are recorded from a single point
in time.
Connection Pooling and Caching – For faster performance
Splunk DB Connect includes a Java Bridge Server. The Java
Bridge Server is a Java Virtual Machine constantly running in the
background. It provides many performance-enhancing options,
including the ability to: execute multiple database commands that
can run concurrently, run multiple active database connections,
cache table metadata information, size the thread pool for
database querying and cache the database lookup definitions.
Search Language Extensions – Splunk software lets users search
and navigate their data from one place. Splunk DB Connect
includes search language extensions that can be executed directly
from the Splunk user interface. Dbquery and Dbinfo are Splunk
search commands that enable you to execute database queries
directly from the Splunk Enterprise user interface. Dbinfo fetches
schema information from the database. Dbquery performs SQL
queries and presents the results as Splunk visualizations. For
example, dbquery database=ASSETDB “SELECT hostname,
owner, department from host_information WHERE location
LIKE ‘%NY%.’”
Integrate Splunk® Enterprise to
Relational Databases
Splunk DB Connect delivers reliable, scalable, real-time
integration between Splunk Enterprise and traditional relational
databases. Integrate structured data from relational databases
with data in Splunk Enterprise to drive deeper levels of analysis
and operational intelligence.
With Splunk DB Connect you can lookup data in relational
databases to enrich Splunk search results with business context.
Explore and browse database schemas and tables before deciding
to import data into Splunk. Import data from relational databases
into Splunk for more comprehensive analysis.
Key Features and Benefits
Splunk DB Connect provides the following core features:
Database Lookup – Enrich machine-generated data by adding
structured data from relational databases. By using Splunk
Enterprise and Splunk DB Connect, key values contained in
machine data can be used to reference related business data in
relational databases, such as device addresses, product codes,
media identifiers, etc. For example, telecom providers have the
ability to combine real-time service activation data with profile
data from a customer master database to understand what types
of customers are purchasing what types of plans – enabling in-
depth real-time sales and customer analytics not possible before.
Explore Database Schemas – Browse and navigate database
schemas and tables from the Splunk DB Connect user interface
before deciding to import data into Splunk. View schemas, table
names and user permissions, all from within the Splunk user
interface. Splunk DB Connect supports stored procedures and any
SQL 92 compliant query.
Import and Index Data from Relational Databases into Splunk –
Combine structured data from relational databases with machine
•	 Enrich Splunk search results with structured data
from relational databases
•	 Explore and browse database schemas and tables
•	 Import and index data from relational databases
for analysis and visualization in Splunk
•	 Connect new databases in minutes and scale to
multiple concurrent databases
Hi g h li g h t s
JDBC
Connection
Pooling
Database
Query
Database
Lookup
Java Bridge Server
Oracle
Database
Other
Databases
Microsoft SQL
Server
Integrate database information with the power of Splunk analytics
and visualizations.
www.splunk.comlisten to your data
250 Brannan St, San Francisco, CA, 94107 info@splunk.com | sales@splunk.com 866-438-7758 | 415-848-8400 www.splunkbase.com
F a c t s h e e t
Copyright © 2013 Splunk Inc. All rights reserved. Splunk Enterprise is protected by U.S. and international copyright and intellectual property laws.
Splunk is a registered trademark or trademark of Splunk Inc. in the United States and/or other jurisdictions. All other marks and names mentioned
herein may be trademarks of their respective companies. Item # FS-splunk-DBConnect-109
Product Requirements
Supported Databases
Splunk DB Connect is compatible with most relational databases
including Oracle® Database, Microsoft® SQL Server, Sybase®,
PostgreSQL, MySQL™, SQLite, H2, HyperSQL and support for
Generic ODBC driver. Refer to the Splunk Enterprise product
documentation for the complete list of relational databases
supported.
Splunk Requirements
All instances of Splunk Enterprise in a Splunk DB Connect
deployment must run Splunk Enterprise 4.3.x or later.
Free Download
Download Splunk for free. You’ll get a Splunk Enterprise
license for 60 days and you can index up to 500 megabytes
of data per day. After 60 days, or anytime before then,
you can convert to a perpetual Free license or purchase an
Enterprise license by contacting sales@splunk.com.

More Related Content

What's hot

Log Analysis Engine with Integration of Hadoop and Spark
Log Analysis Engine with Integration of Hadoop and SparkLog Analysis Engine with Integration of Hadoop and Spark
Log Analysis Engine with Integration of Hadoop and SparkIRJET Journal
 
SQL Server 2008 Overview
SQL Server 2008 OverviewSQL Server 2008 Overview
SQL Server 2008 OverviewDavid Chou
 
A Review of Data Access Optimization Techniques in a Distributed Database Man...
A Review of Data Access Optimization Techniques in a Distributed Database Man...A Review of Data Access Optimization Techniques in a Distributed Database Man...
A Review of Data Access Optimization Techniques in a Distributed Database Man...Editor IJCATR
 
Big Data: Working with Big SQL data from Spark
Big Data:  Working with Big SQL data from Spark Big Data:  Working with Big SQL data from Spark
Big Data: Working with Big SQL data from Spark Cynthia Saracco
 
Big_SQL_3.0_Whitepaper
Big_SQL_3.0_WhitepaperBig_SQL_3.0_Whitepaper
Big_SQL_3.0_WhitepaperScott Gray
 
NoSQL - A Closer Look to Couchbase
NoSQL - A Closer Look to CouchbaseNoSQL - A Closer Look to Couchbase
NoSQL - A Closer Look to CouchbaseMohammad Shaker
 
Using your DB2 SQL Skills with Hadoop and Spark
Using your DB2 SQL Skills with Hadoop and SparkUsing your DB2 SQL Skills with Hadoop and Spark
Using your DB2 SQL Skills with Hadoop and SparkCynthia Saracco
 
10 Steps Optimize Share Point Performance
10 Steps Optimize Share Point Performance10 Steps Optimize Share Point Performance
10 Steps Optimize Share Point PerformanceChristopher Bunn
 
Big SQL 3.0 - Toronto Meetup -- May 2014
Big SQL 3.0 - Toronto Meetup -- May 2014Big SQL 3.0 - Toronto Meetup -- May 2014
Big SQL 3.0 - Toronto Meetup -- May 2014Nicolas Morales
 
Csci12 report aug18
Csci12 report aug18Csci12 report aug18
Csci12 report aug18karenostil
 
Parameter substitution in Aginity Workbench
Parameter substitution in Aginity WorkbenchParameter substitution in Aginity Workbench
Parameter substitution in Aginity WorkbenchMary Uguet
 
Datastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobsDatastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobsshanker_uma
 
One Large Data Lake, Hold the Hype
One Large Data Lake, Hold the HypeOne Large Data Lake, Hold the Hype
One Large Data Lake, Hold the HypeJared Winick
 

What's hot (16)

Log Analysis Engine with Integration of Hadoop and Spark
Log Analysis Engine with Integration of Hadoop and SparkLog Analysis Engine with Integration of Hadoop and Spark
Log Analysis Engine with Integration of Hadoop and Spark
 
HadoopDB
HadoopDBHadoopDB
HadoopDB
 
SQL Server 2008 Overview
SQL Server 2008 OverviewSQL Server 2008 Overview
SQL Server 2008 Overview
 
Oracle Tablespace - Basic
Oracle Tablespace - BasicOracle Tablespace - Basic
Oracle Tablespace - Basic
 
A Review of Data Access Optimization Techniques in a Distributed Database Man...
A Review of Data Access Optimization Techniques in a Distributed Database Man...A Review of Data Access Optimization Techniques in a Distributed Database Man...
A Review of Data Access Optimization Techniques in a Distributed Database Man...
 
Big Data: Working with Big SQL data from Spark
Big Data:  Working with Big SQL data from Spark Big Data:  Working with Big SQL data from Spark
Big Data: Working with Big SQL data from Spark
 
Big_SQL_3.0_Whitepaper
Big_SQL_3.0_WhitepaperBig_SQL_3.0_Whitepaper
Big_SQL_3.0_Whitepaper
 
Artigo no sql x relational
Artigo no sql x relationalArtigo no sql x relational
Artigo no sql x relational
 
NoSQL - A Closer Look to Couchbase
NoSQL - A Closer Look to CouchbaseNoSQL - A Closer Look to Couchbase
NoSQL - A Closer Look to Couchbase
 
Using your DB2 SQL Skills with Hadoop and Spark
Using your DB2 SQL Skills with Hadoop and SparkUsing your DB2 SQL Skills with Hadoop and Spark
Using your DB2 SQL Skills with Hadoop and Spark
 
10 Steps Optimize Share Point Performance
10 Steps Optimize Share Point Performance10 Steps Optimize Share Point Performance
10 Steps Optimize Share Point Performance
 
Big SQL 3.0 - Toronto Meetup -- May 2014
Big SQL 3.0 - Toronto Meetup -- May 2014Big SQL 3.0 - Toronto Meetup -- May 2014
Big SQL 3.0 - Toronto Meetup -- May 2014
 
Csci12 report aug18
Csci12 report aug18Csci12 report aug18
Csci12 report aug18
 
Parameter substitution in Aginity Workbench
Parameter substitution in Aginity WorkbenchParameter substitution in Aginity Workbench
Parameter substitution in Aginity Workbench
 
Datastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobsDatastage parallell jobs vs datastage server jobs
Datastage parallell jobs vs datastage server jobs
 
One Large Data Lake, Hold the Hype
One Large Data Lake, Hold the HypeOne Large Data Lake, Hold the Hype
One Large Data Lake, Hold the Hype
 

Similar to Splunk for db_connect

SplunkLive! Washington DC May 2013 - Big Data Architectural Patterns
SplunkLive! Washington DC May 2013 - Big Data Architectural PatternsSplunkLive! Washington DC May 2013 - Big Data Architectural Patterns
SplunkLive! Washington DC May 2013 - Big Data Architectural PatternsSplunk
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)James Serra
 
Data Pipeline for The Big Data/Data Science OKC
Data Pipeline for The Big Data/Data Science OKCData Pipeline for The Big Data/Data Science OKC
Data Pipeline for The Big Data/Data Science OKCMark Smith
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)James Serra
 
Big Data Engineering for Machine Learning
Big Data Engineering for Machine LearningBig Data Engineering for Machine Learning
Big Data Engineering for Machine LearningVasu S
 
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdf
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdfHow Microsoft Synapse Analytics Can Transform Your Data Analytics.pdf
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdfAddend Analytics
 
Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Martin Bém
 
SplunkLive! New York April 2013 - Enrich Machine Data with Structured Data
SplunkLive! New York April 2013 - Enrich Machine Data with Structured DataSplunkLive! New York April 2013 - Enrich Machine Data with Structured Data
SplunkLive! New York April 2013 - Enrich Machine Data with Structured DataSplunk
 
Snowflake Cloning.pdf
Snowflake Cloning.pdfSnowflake Cloning.pdf
Snowflake Cloning.pdfVishnuGone
 
Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage CCG
 
Rajeev kumar apache_spark & scala developer
Rajeev kumar apache_spark & scala developerRajeev kumar apache_spark & scala developer
Rajeev kumar apache_spark & scala developerRajeev Kumar
 
Getting Started with Splunk Breakout Session
Getting Started with Splunk Breakout SessionGetting Started with Splunk Breakout Session
Getting Started with Splunk Breakout SessionSplunk
 
Rama prasad owk etl hadoop_developer
Rama prasad owk etl hadoop_developerRama prasad owk etl hadoop_developer
Rama prasad owk etl hadoop_developerramaprasad owk
 
Azure data bricks by Eugene Polonichko
Azure data bricks by Eugene PolonichkoAzure data bricks by Eugene Polonichko
Azure data bricks by Eugene PolonichkoAlex Tumanoff
 
Azure DataBricks for Data Engineering by Eugene Polonichko
Azure DataBricks for Data Engineering by Eugene PolonichkoAzure DataBricks for Data Engineering by Eugene Polonichko
Azure DataBricks for Data Engineering by Eugene PolonichkoDimko Zhluktenko
 

Similar to Splunk for db_connect (20)

SplunkLive! Washington DC May 2013 - Big Data Architectural Patterns
SplunkLive! Washington DC May 2013 - Big Data Architectural PatternsSplunkLive! Washington DC May 2013 - Big Data Architectural Patterns
SplunkLive! Washington DC May 2013 - Big Data Architectural Patterns
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)
 
Data Pipeline for The Big Data/Data Science OKC
Data Pipeline for The Big Data/Data Science OKCData Pipeline for The Big Data/Data Science OKC
Data Pipeline for The Big Data/Data Science OKC
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)
 
Big Data Engineering for Machine Learning
Big Data Engineering for Machine LearningBig Data Engineering for Machine Learning
Big Data Engineering for Machine Learning
 
Shrikanth
ShrikanthShrikanth
Shrikanth
 
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdf
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdfHow Microsoft Synapse Analytics Can Transform Your Data Analytics.pdf
How Microsoft Synapse Analytics Can Transform Your Data Analytics.pdf
 
Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27Prague data management meetup 2018-03-27
Prague data management meetup 2018-03-27
 
SplunkLive! New York April 2013 - Enrich Machine Data with Structured Data
SplunkLive! New York April 2013 - Enrich Machine Data with Structured DataSplunkLive! New York April 2013 - Enrich Machine Data with Structured Data
SplunkLive! New York April 2013 - Enrich Machine Data with Structured Data
 
r4
r4r4
r4
 
Snowflake Cloning.pdf
Snowflake Cloning.pdfSnowflake Cloning.pdf
Snowflake Cloning.pdf
 
Resume..
Resume..Resume..
Resume..
 
Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage Data Analytics Meetup: Introduction to Azure Data Lake Storage
Data Analytics Meetup: Introduction to Azure Data Lake Storage
 
Rajeev kumar apache_spark & scala developer
Rajeev kumar apache_spark & scala developerRajeev kumar apache_spark & scala developer
Rajeev kumar apache_spark & scala developer
 
Introduction to Azure Data Lake
Introduction to Azure Data LakeIntroduction to Azure Data Lake
Introduction to Azure Data Lake
 
Kanakaraj_Periasamy
Kanakaraj_PeriasamyKanakaraj_Periasamy
Kanakaraj_Periasamy
 
Getting Started with Splunk Breakout Session
Getting Started with Splunk Breakout SessionGetting Started with Splunk Breakout Session
Getting Started with Splunk Breakout Session
 
Rama prasad owk etl hadoop_developer
Rama prasad owk etl hadoop_developerRama prasad owk etl hadoop_developer
Rama prasad owk etl hadoop_developer
 
Azure data bricks by Eugene Polonichko
Azure data bricks by Eugene PolonichkoAzure data bricks by Eugene Polonichko
Azure data bricks by Eugene Polonichko
 
Azure DataBricks for Data Engineering by Eugene Polonichko
Azure DataBricks for Data Engineering by Eugene PolonichkoAzure DataBricks for Data Engineering by Eugene Polonichko
Azure DataBricks for Data Engineering by Eugene Polonichko
 

More from Greg Hanchin

NUTANIX and SPLUNK
NUTANIX and SPLUNKNUTANIX and SPLUNK
NUTANIX and SPLUNKGreg Hanchin
 
Splunk for exchange
Splunk for exchangeSplunk for exchange
Splunk for exchangeGreg Hanchin
 
Splunk for cyber_threat
Splunk for cyber_threatSplunk for cyber_threat
Splunk for cyber_threatGreg Hanchin
 
Splunk for compliance
Splunk for complianceSplunk for compliance
Splunk for complianceGreg Hanchin
 
Splunk Searching and reporting 43course
Splunk Searching and reporting 43courseSplunk Searching and reporting 43course
Splunk Searching and reporting 43courseGreg Hanchin
 
Advanced Splunk 50 administration
Advanced Splunk 50 administrationAdvanced Splunk 50 administration
Advanced Splunk 50 administrationGreg Hanchin
 
Advanced searching and reporting 50 course
Advanced searching and reporting 50 course Advanced searching and reporting 50 course
Advanced searching and reporting 50 course Greg Hanchin
 
Administering splunk 43 course
Administering splunk 43 courseAdministering splunk 43 course
Administering splunk 43 courseGreg Hanchin
 
Using splunk43course
Using splunk43courseUsing splunk43course
Using splunk43courseGreg Hanchin
 
Using Splunk course outline
Using Splunk course outline Using Splunk course outline
Using Splunk course outline Greg Hanchin
 
Advanced Splunk Administration
Advanced Splunk AdministrationAdvanced Splunk Administration
Advanced Splunk AdministrationGreg Hanchin
 
Splunk Advanced searching and reporting Class description
Splunk Advanced searching and reporting Class descriptionSplunk Advanced searching and reporting Class description
Splunk Advanced searching and reporting Class descriptionGreg Hanchin
 
Administering Splunk course
Administering Splunk courseAdministering Splunk course
Administering Splunk courseGreg Hanchin
 
Splunk Searching and Reporting Class Details
Splunk Searching and Reporting Class DetailsSplunk Searching and Reporting Class Details
Splunk Searching and Reporting Class DetailsGreg Hanchin
 
Splunk FISMA for Continuous Monitoring
Splunk FISMA for Continuous Monitoring Splunk FISMA for Continuous Monitoring
Splunk FISMA for Continuous Monitoring Greg Hanchin
 
Splunk forwarders tech_brief
Splunk forwarders tech_briefSplunk forwarders tech_brief
Splunk forwarders tech_briefGreg Hanchin
 
Splunk and map_reduce
Splunk and map_reduceSplunk and map_reduce
Splunk and map_reduceGreg Hanchin
 
Splunk for xen_desktop
Splunk for xen_desktopSplunk for xen_desktop
Splunk for xen_desktopGreg Hanchin
 
Splunk for palo_alto
Splunk for palo_altoSplunk for palo_alto
Splunk for palo_altoGreg Hanchin
 

More from Greg Hanchin (20)

NUTANIX and SPLUNK
NUTANIX and SPLUNKNUTANIX and SPLUNK
NUTANIX and SPLUNK
 
Splunk for exchange
Splunk for exchangeSplunk for exchange
Splunk for exchange
 
Splunk for cyber_threat
Splunk for cyber_threatSplunk for cyber_threat
Splunk for cyber_threat
 
Splunk for compliance
Splunk for complianceSplunk for compliance
Splunk for compliance
 
Splunk Searching and reporting 43course
Splunk Searching and reporting 43courseSplunk Searching and reporting 43course
Splunk Searching and reporting 43course
 
Advanced Splunk 50 administration
Advanced Splunk 50 administrationAdvanced Splunk 50 administration
Advanced Splunk 50 administration
 
Advanced searching and reporting 50 course
Advanced searching and reporting 50 course Advanced searching and reporting 50 course
Advanced searching and reporting 50 course
 
Administering splunk 43 course
Administering splunk 43 courseAdministering splunk 43 course
Administering splunk 43 course
 
Using splunk43course
Using splunk43courseUsing splunk43course
Using splunk43course
 
Using Splunk course outline
Using Splunk course outline Using Splunk course outline
Using Splunk course outline
 
Advanced Splunk Administration
Advanced Splunk AdministrationAdvanced Splunk Administration
Advanced Splunk Administration
 
Splunk Advanced searching and reporting Class description
Splunk Advanced searching and reporting Class descriptionSplunk Advanced searching and reporting Class description
Splunk Advanced searching and reporting Class description
 
Administering Splunk course
Administering Splunk courseAdministering Splunk course
Administering Splunk course
 
Splunk Searching and Reporting Class Details
Splunk Searching and Reporting Class DetailsSplunk Searching and Reporting Class Details
Splunk Searching and Reporting Class Details
 
Splunk FISMA for Continuous Monitoring
Splunk FISMA for Continuous Monitoring Splunk FISMA for Continuous Monitoring
Splunk FISMA for Continuous Monitoring
 
Splunk forwarders tech_brief
Splunk forwarders tech_briefSplunk forwarders tech_brief
Splunk forwarders tech_brief
 
Splunk and map_reduce
Splunk and map_reduceSplunk and map_reduce
Splunk and map_reduce
 
Splunk for xen_desktop
Splunk for xen_desktopSplunk for xen_desktop
Splunk for xen_desktop
 
Splunk for palo_alto
Splunk for palo_altoSplunk for palo_alto
Splunk for palo_alto
 
Splunk for ibtrm
Splunk for ibtrmSplunk for ibtrm
Splunk for ibtrm
 

Recently uploaded

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingEdi Saputra
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Orbitshub
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard37
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKJago de Vreede
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...apidays
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMKumar Satyam
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherRemote DBA Services
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)Samir Dash
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 

Recently uploaded (20)

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
Navigating the Deluge_ Dubai Floods and the Resilience of Dubai International...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
JohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptxJohnPollard-hybrid-app-RailsConf2024.pptx
JohnPollard-hybrid-app-RailsConf2024.pptx
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Introduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDMIntroduction to use of FHIR Documents in ABDM
Introduction to use of FHIR Documents in ABDM
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 

Splunk for db_connect

  • 1. Reliable, scalable, real-time integration to relational databases Splunk® DB Connect F a c t S h e e t data to drive end-to-end operational insights. The Splunk Tail command can be use to detect updated or new rows in the database by referencing time stamp values. Splunk DB Connect also enables you to import data via periodic snapshots of the database—where database tables are recorded from a single point in time. Connection Pooling and Caching – For faster performance Splunk DB Connect includes a Java Bridge Server. The Java Bridge Server is a Java Virtual Machine constantly running in the background. It provides many performance-enhancing options, including the ability to: execute multiple database commands that can run concurrently, run multiple active database connections, cache table metadata information, size the thread pool for database querying and cache the database lookup definitions. Search Language Extensions – Splunk software lets users search and navigate their data from one place. Splunk DB Connect includes search language extensions that can be executed directly from the Splunk user interface. Dbquery and Dbinfo are Splunk search commands that enable you to execute database queries directly from the Splunk Enterprise user interface. Dbinfo fetches schema information from the database. Dbquery performs SQL queries and presents the results as Splunk visualizations. For example, dbquery database=ASSETDB “SELECT hostname, owner, department from host_information WHERE location LIKE ‘%NY%.’” Integrate Splunk® Enterprise to Relational Databases Splunk DB Connect delivers reliable, scalable, real-time integration between Splunk Enterprise and traditional relational databases. Integrate structured data from relational databases with data in Splunk Enterprise to drive deeper levels of analysis and operational intelligence. With Splunk DB Connect you can lookup data in relational databases to enrich Splunk search results with business context. Explore and browse database schemas and tables before deciding to import data into Splunk. Import data from relational databases into Splunk for more comprehensive analysis. Key Features and Benefits Splunk DB Connect provides the following core features: Database Lookup – Enrich machine-generated data by adding structured data from relational databases. By using Splunk Enterprise and Splunk DB Connect, key values contained in machine data can be used to reference related business data in relational databases, such as device addresses, product codes, media identifiers, etc. For example, telecom providers have the ability to combine real-time service activation data with profile data from a customer master database to understand what types of customers are purchasing what types of plans – enabling in- depth real-time sales and customer analytics not possible before. Explore Database Schemas – Browse and navigate database schemas and tables from the Splunk DB Connect user interface before deciding to import data into Splunk. View schemas, table names and user permissions, all from within the Splunk user interface. Splunk DB Connect supports stored procedures and any SQL 92 compliant query. Import and Index Data from Relational Databases into Splunk – Combine structured data from relational databases with machine • Enrich Splunk search results with structured data from relational databases • Explore and browse database schemas and tables • Import and index data from relational databases for analysis and visualization in Splunk • Connect new databases in minutes and scale to multiple concurrent databases Hi g h li g h t s JDBC Connection Pooling Database Query Database Lookup Java Bridge Server Oracle Database Other Databases Microsoft SQL Server Integrate database information with the power of Splunk analytics and visualizations.
  • 2. www.splunk.comlisten to your data 250 Brannan St, San Francisco, CA, 94107 info@splunk.com | sales@splunk.com 866-438-7758 | 415-848-8400 www.splunkbase.com F a c t s h e e t Copyright © 2013 Splunk Inc. All rights reserved. Splunk Enterprise is protected by U.S. and international copyright and intellectual property laws. Splunk is a registered trademark or trademark of Splunk Inc. in the United States and/or other jurisdictions. All other marks and names mentioned herein may be trademarks of their respective companies. Item # FS-splunk-DBConnect-109 Product Requirements Supported Databases Splunk DB Connect is compatible with most relational databases including Oracle® Database, Microsoft® SQL Server, Sybase®, PostgreSQL, MySQL™, SQLite, H2, HyperSQL and support for Generic ODBC driver. Refer to the Splunk Enterprise product documentation for the complete list of relational databases supported. Splunk Requirements All instances of Splunk Enterprise in a Splunk DB Connect deployment must run Splunk Enterprise 4.3.x or later. Free Download Download Splunk for free. You’ll get a Splunk Enterprise license for 60 days and you can index up to 500 megabytes of data per day. After 60 days, or anytime before then, you can convert to a perpetual Free license or purchase an Enterprise license by contacting sales@splunk.com.