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Cassandra EU 2012 - Overview of Case Studies and State of the Market by 451 Research
1.
NoSQL, NewSQL, and
Beyond The answer to SPRAINed relational databases Matthew Aslett Research Manager, Data Management and Analytics 1 © 2012 by The 451 Group. All rights reserved
2.
451 Research Matthew
Aslett • Research manager, data management and analytics • With The 451 Group since 2007 • www.twitter.com/maslett Information Management Commercial Adoption of Open Source Operational databases (CAOS) Data warehousing Open source projects Data caching Adoption of open source software Event processing Vendor strategies © 2012 by The 451 Group. All rights reserved
3.
The 451 Group
3 © 2012 by The 451 Group. All rights reserved
4.
Relevant reports NoSQL,
NewSQL and Beyond • Assessing the drivers behind the development and adoption of NoSQL and NewSQL databases, as well as data grid/caching technologies • Released April 2011 • Role of open source in driving innovation • sales@the451group.com © 2012 by The 451 Group. All rights reserved
5.
NoSQL, NewSQL and
Beyond NoSQL NewSQL New breed of non-relational New breed of relational database products database products Rejection of fixed table Retain SQL and ACID schema and join operations Designed to meet scalability Designed to meet scalability requirements of distributed requirements of distributed architectures architectures Or improve performance so And/or schema-less data horizontal scalability is no management requirements longer a necessity … and Beyond In-memory data grid/cache products Potentialprimary platform for distributed data management © 2012 by The 451 Group. All rights reserved
6.
The NoSQL landscape
Key Value Store Graph •Citrusleaf Document • InfiniteGraph • HandlerSocket* •RavenDB • Neo4j • Redis • Riak • MongoDB • DEX • Voldemort •CouchBase • CouchDB •OrientDB • Membrain • Mongo Labs • Cloudant •NuvolaBase • Oracle NoSQL • Mongo HQ • Iris Couch • Castle •DynamoDB •RethinkDB • Redis-to-go •LevelDB • SimpleDB • Cassandra • DataStax EE •Acunu • HBase • App Engine Datastore -as-a-Service • Hypertable Big Tables © 2012 by The 451 Group. All rights reserved
7.
The NewSQL ecosystem -as-a-Service
New databases •Drizzle •NuoDB • Xeround •Drizzle • VoltDB •SQLFire • Tokutek • Akiban • JustOne DB • Translattice • GenieDB • Clustrix • Schooner SQL •ScaleDB •ParElastic • ScaleBase Storage engines • MySQL Cluster •Continuent •ScaleArc •Zimory Scale •Galera • CodeFutures Clustering/sharding © 2012 by The 451 Group. All rights reserved
8.
SPRAINED RELATIONAL DATABASES Photo
credit: Foxtongue on Flickr http://www.flickr.com/photos/foxtongue/4844016087/ © 2012 by The 451 Group. All rights reserved
9.
SPRAIN
Scalability - Hardware economics Example project/service/vendor: • BigTable, HBase, Riak, MongoDB, Couchbase, Hadoop • Xeround, NuoDB • Data grid/cache Associated use case: • Large-scale distributed data storage • Analysis of continuously updated data • Multi-tenant PaaS data layer © 2012 by The 451 Group. All rights reserved
10.
SPRAIN
Scalability Netflix: • 37X growth in requests Jan 2010-Jan 2011 • “We had to get out of the datacenter business” Dachis Group: • Specifically wanted a horizontally scalable data store Spotify: • Importance (and challenges) of cross-datacenter replication Tellybug: • Peak scalability – mission critical for two hours per week. Elastic scalability still not solved. © 2012 by The 451 Group. All rights reserved
11.
SPRAIN
Performance – RDBMS limitations Example project/service/vendor: • Hypertable, Couchbase, Riak, Membrain, MongoDB, Redis • Data grid/cache • VoltDB, Clustrix Associated use case: • Real time data processing of mixed read/write workloads • Data caching • Large-scale data ingestion © 2012 by The 451 Group. All rights reserved
12.
SPRAIN
Performance Tellybug: • Having won the contract to deliver app for Britain’s Got Talent realised that its MySQL/Django/Python stack couldn’t deliver the anticipated load Spotify: • Major upgrades without service interruptions, not possible with sharded SQL databases Rackspace: • Ability to monitor a million different things, ability to withstand the failure of 1/3 data centers © 2012 by The 451 Group. All rights reserved
13.
SPRAIN
Relaxed consistency - CAP Theorem Example project/service/vendor: • Dynamo, Voldemort, Cassandra, Riak • Amazon DynamoDB Associated use case: • Multi-data center replication • Service availability • Non-transactional data off-load © 2012 by The 451 Group. All rights reserved
14.
SPRAIN
Relaxed consistency Netflix: • “We value availability over consistency. We don’t need full consistency.” Tellybug: • Soft production data – the ability to ignore failures • Spotify: • Flexibility to combine different consistency levels for different column families in a single application © 2012 by The 451 Group. All rights reserved
15.
SPRAIN
Agility - polyglot persistence, schema-less Example project/service/vendor: • MongoDB, CouchDB, Cassandra, Riak • Google App Engine, SimpleDB, Associated use case: • Mobile/remote device synchronization • Agile development • Data caching © 2012 by The 451 Group. All rights reserved
16.
SPRAIN
Agility Tellybug: • Had 4-5 weeks to ship a production system to meet contract • Ability to re-build entire infrastructure from scratch in 10-15 mins Netflix: • Single SQL database had to be brought down to change the schema. • Put the logic into the Web services and employ distributed key stores to enable agile development and schema changes Spotify: • Cassandra is a platform for quickly developing new applications © 2012 by The 451 Group. All rights reserved
17.
SPRAIN
Intricacy – volume, velocity, variety Example project/service/vendor: • Neo4j, GraphDB, InfiniteGraph • Apache Cassandra, Hadoop, Riak • VoltDB, Clustrix Associated use case: • Social networking applications • Geo-locational applications • Configuration management database © 2012 by The 451 Group. All rights reserved
18.
SPRAIN
Intricacy Dachis Group: • Combining social media data for 2,000 brands with sentiment, relationship, conversations, social graph Spotify: • More than half a billion playlists, about 10 thousand requests per second at peak Rackspace: One row per customer with thousands of columns – potentially millions of columns Tellybug: • Ability to cope with 10,000 interactions/sec and integrate that with the social graph for thousands of concurrent users © 2012 by The 451 Group. All rights reserved
19.
SPRAIN
Necessity - open source The failure of existing suppliers to address emerging requirements Example projects: • BigTable: Google • Dynamo: Amazon • Cassandra: Facebook • HBase: Powerset • Voldemort: LinkedIn • Hypertable: Zvents • Neo4j: Windh Technologies © 2012 by The 451 Group. All rights reserved
20.
SPRAIN
Necessity Spotify: • Created own backup and restore technology Rackspace: • Distributed secondary indexing, blob storage, many other projects Tellybug: • Created sharded counter in memcached, wrote several tools to figure out closeness to the ‘truth’ Netflix: • Developed multiple tools including multi-datacenter replication, automated configuration and backup, provisioning interface etc © 2012 by The 451 Group. All rights reserved
21.
Relevant reports MySQL,
NoSQL and NewSQL • Assessing the competitive dynamic between the MySQL ecosystem, NoSQL and NewSQL technologies • Due May 2012 • Including market sizing of the three database segments • Survey of 200+ database users • sales@the451group.com © 2012 by The 451 Group. All rights reserved
22.
Thank you. Questions?
Comments? matt.aslett@451research.com @maslett © 2012 by The 451 Group. All rights reserved
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