NoSQL is a key pillar in many organizations’ data architectures. The term refers to a wide range of data platform architectures optimized for specific use cases, rather than to an all-purpose platform for all enterprise requirements. Under the NoSQL umbrella, many industry observers group such approaches as document, wide-column, key-value, and graph databases In this panel, TDWI senior research director James Kobielus will lead data industry experts in a discussion of the future of NoSQL databases. They will discuss such issues as: - What is NoSQL and what are the sweet-spot use cases for these disparate approaches? - Is the longstanding distinction between NoSQL databases and traditional relational platforms disappearing in an era of multimodel databases? - What are the optimal roles for NoSQL databases in enterprise data warehousing and data lake environments? - How do organizations avoid introducing NoSQL siloes into enterprise data architectures?

1. Moderated by James Kobielus
Senior Research Director, Data Management, TDWI
Thursday December 8, 2022
Expert Panel:
The Future of NoSQL Databases
Copyright 2022, TDWI

2. JAMES KOBIELUS
Senior Research Director,
Data Management
TDWI

3. SPONSORS
3

4. Digital transformation depends on customer
engagement
“The purpose of
business is to create
and keep a customer.”
Peter Drucker
Digital businesses use
data to continuously,
contextually, and
intelligently engage
their customers
© 2022 by TDWI. All rights reserved.

5. Converged
data enables
modern
developers to
tailor rich
application
experiences
Heterogeneity
Temporality
Transactionality
Scale
Interactivity
Speed
Contextualization
Virtualize and integrate diverse
data sources, types, and formats
Descriptive + real-time + predictive analytics
High-performance OLTP, ERP, CRM, and e-commerce
apps
Elastic storage, processing, memory, and networking
bandwidth
Low-latency, streaming, in-memory, event-driven
On-demand, request/response, closed-loop
application processing
Geographic, social, semantic, behavioral, influence,
and other graphs
© 2022 by TDWI. All rights reserved.

6. More
applications
ride on
virtualized
blends of
relational and
non-relational
data But supporting these multimodel data requirements through
”polyglot persistence”—i.e., separate stores behind
virtualization—can be complex, costly, and cumbersome
Transactional analytics, multichannel customer engagement, real-time next best action,
recommendation engines, interactive edge mobility, etc.
© 2022 by TDWI. All rights reserved.

7. What are the top challenges you have faced managing your
data in the cloud?
They face challenges too
Enterprises’ top technical challenges in managing data in the cloud are data
integration across hybrid environments and data governance across two or more
cloud environments. Those responses were cited by almost half and around one-
third of respondents, respectively.
Source: TDWI Data & Analytics Survey
2022
Managing data across
increasingly
distributed,
heterogeneous, and
multidomain cloud
environments is a
core challenge for
enterprises.

8. What is
NoSQL?

9. What business and
technology trends are
driving the NoSQL
market?

10. Copyright 2022, TDWI
What are the prime use cases for the
diversity of NoSQL database
architectures?

11. Copyright 2022, TDWI
What are the optimal roles for NoSQL
databases in enterprise cloud data and
distributed environments?

12. Copyright 2022, TDWI
Is the practical distinction
between NoSQL and traditional
relational databases still
relevant in the era of converged
data platforms?

13. Copyright 2022, TDWI
What are the greatest challenges
that enterprises face when
attempting to realize the full value
of NoSQL data platforms in the
cloud?

14. Panel
Discussion
14
Copyright © 2022 TDWI

15. Tzach Livyatan
VP of Product
ScyllaDB

16. QUESTIONS?
tdwi.org

17. CONTACT INFORMATION
If you have further questions or comments:
James Kobielus, TDWI
jkobielus@tdwi.org
Vikram Bhambri, DataStax
vikram.bhambri@datastax.com
Tzach Livyatan, ScyllaDB
tzach@scylladb.com
tdwi.org