There has been significant movement in recent times towards less structured approaches of storing and retrieving data. No longer the realm of Relational Databases, there is a new crop of structured key/value pair stores and unstructured data offerings. This closing panel debate at Open SQL Camp 2009 discussed the SQL v NoSQL topic.

1. SQL v No-SQL
The Great Debate
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2. The Blue "SQL" Team
s
D Brian Aker (Drizzle)
Js JD Duncan (MySQL)
Mas Monty Widenius (MariaDB / ODBA)
s
P Selena Deckelmann (PostgreSQL)
Others: SQLLite, Ingres, Firebird
Open SQL Camp - Portland 2009 http://opensqlcamp.org #opensqlcamp

3. The Red "no-SQL" Team
n
Ca Eric Evans (Cassandra)
Hn Joydeep Sen Sarma (Hadoop / Hive)
Mn Mike Dirolf (MongoDB)
n
Co Mike Miller (CouchDB)
Others: GAE,SimpleDB,Tokyo,Redis,LucidDB,MonetDB
etc
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5. The Blue Team
SQL Rules
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6. The Red Team
SQL is dead
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7. The Rules of Engagement
For each question: (5 minutes)
First team has 2 minutes
Second team has 2 minutes to respond
First team has a 1 minute rebutal
Audience decides the winner of the question
When the timer ends, talking ends.
Bribes are encouraged.
Hawkers and heckling are allowed.
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8. Audience Contributions
Please submit your questions
via Twitter
#opensqlcamp #greatdebate
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9. N
Question 1:
SQL is a standard that most developers know, and most open
source relational databases implement in a consistent manner.
How are the no-SQL offerings going to provide a more
consistent and productive for software developers?
What benefits are there for not using SQL in development?
Brian Aker is not allowed to re-use Lightning talk material.
Open SQL Camp - Portland 2009 http://opensqlcamp.org #opensqlcamp

10. S
Question 2:
SQL databases have many open source products and offerings
available via the LAMP stack, including popular blogging,
wiki and Content Management (CMS) software (for example
Wordpress, Drupal, Mediawiki etc )
With the newer non relational products now available what is
the ideal industry segment or products (new and proposed) that
will be of benefit for every day people?
What products won't work with no-SQL technologies?
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11. S
Question 3:
Scalability and high availability with relational databases can
really suck. This requires a great amount of planning and
architecture to implement successfully in large scale
environments.
What are the strengths you can offer towards the needs for
read scalability, write scalability, software upgrades and
database maintenance without impacting the user experience?
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12. N
Question 4:
Transactions form an essential component in many business
critical systems including financial and military.
How does my bank balance work in an eventually consistent
environment?
While many systems can survive without the need of database
centric consistency, many developers need greater education.
How do you educate them for what is best?
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13. Question 5:
From the audience
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14. Question 6:
From the audience
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15. Question 7:
Can SQL and noSQL co-exist happily in one software product
offering?
Can one be used as meta data or caching for the other?
Is data interchangable?
Are there any benefits of working together?
Are there any arguments for never working together?
Open SQL Camp - Portland 2009 http://opensqlcamp.org #opensqlcamp

16. Question 8:
A great product with a great code base can easily go the way of
the dodo if there is not a supportive and active community.
What are each product group doing to better gain, retain and
utilize the community for maximum benefit?
What do you do that other products should?
What do other products do that you wish you did?
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17. Question 9:
From the audience
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18. Question 10:
From the audience
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19. Wrap-up
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20. SQL and no-SQL
are really poor
descriptions
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21. Relational and non
relational.
Is RDBMS and AltDB a
better description.
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22. Blended Solutions
e.g. Calpont/InfiniDB
RDBMS SQL interface
Column Oriented storage
Direct non-SQL access to data as well
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23. Blended Solutions
e.g. mod_ndb
json interface via apache to NDB Cluster
can still use SQL
synchronous scalable database
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24. Blended Solutions
e.g. drizzle pluggable approach
gearman
distributed processing
map/reduce capabilities
memcached
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