The document outlines the evolution of data storage methods from the 1960s to the present, emphasizing the transition from traditional databases to modern data solutions amidst the challenges of big data and cloud computing. It discusses the concept of open-core business models and how they leverage open-source technology while providing additional proprietary features. The conclusion advocates for using 100% open-source technologies to avoid vendor lock-in and promote innovation within the open-source community.

1. ©Instaclustr Pty Limited, 2020
August 13, 2022
DATA MODERNIZATION
October 19, 2021
Anil Inamdar
VP & Head of Data Solutions @Instaclustr
(Now Part of SPOT by NetAapp)
(Open-source that is really open-source)

2. Agenda

3. Agenda
• Data Journey Until Now
• Triggers of Data Modernization
• Data Modernization Approaches
• Life After Data Modernization

4. Data Journey
Until Now

5. Data Journey – Until Now
Beginnings
• Humans have
a long history
of storing data
• Data was
stored even
before
computers
• Was stores in
libraries,
government
offices,
business
1960s
• Term
“Database”
introduced
• Two models
were
developed
1.Network
Model
(CODASYL)
2.Hierarchical
Model (IMS)
1970s
• E.F. Codd
• Relational
Database
Model
• Table with
rows and
columns
• UC Berkeley
introduced
INGRES
1980s
• RDBMS is
highly
commercial
• SQL becomes
the standard
• DB2, Oracle,
Dbase III
become
popular
1990s
• Market
shakeout
• Mergers and
consolidations
• Oracle,
Sybase,
SQLServer
emerge as
leaders
• Oracle
expands
vertically –
ERP, Fin
2000’
• Internet
becomes
mainstream
• Public Cloud
emerges
• Huge data is
generated –
MP3, video,
weblogs
• RDBMS
becomes a
bottleneck

6. Big Data

7. Internet

8. Cloud

9. Data Modernization
• Open-core is a business model for monetizing free OSS
• The “core” of the software is open with added proprietary features
• Open-source is always a “project” while open-core is a “product”
• Open-core exploited some of the challenges with open-source
- Absence of support
- Need for features like monitoring, auto-provisioning
• Successfully exploited by vendors like Cloudera, DataStax, Confluent
• But that’s not the whole story!

10. 10

11. Company Overview
Founded in 2013
CBR Australia
250+ Employees
in 4 offices
HQ in Redwood
City, CA USA
300+ Customers
Globally
Global Presence
24x7 TechOps and
Dev in Australia
and the USA
© Instaclustr Pty Limited, 2020

12. Conclusion
• Use 100 % open-source technologies if
- You want to continue using true open-source software and not move towards proprietary software
- Don’t want to pay software licensing costs
- Avoid vendor locking
- Avoid technology locking
- Want to be part of open-source community
- Want to continue to innovate your solution

13. Special Promotion
• 2-hour open-source consulting advice
• 1-week free access to Instaclustr platform
- Spin up 3 node clusters in 3-5 minutes!
- Cassandra, Kafka, ElasticSearch, Redis
• Mention “Data Con LA August 2022” to get the above promotions

14. www.instaclustr.com
info@instaclustr.com
@instaclustr
THANK
YOU!
© Instaclustr Pty Limited, 2020
Anil Inamdar
VP & Head of Data Solutions
anil.inamdar@instaclustr.com