Simba developed ODBC and JDBC drivers for Couchbase to allow easy integration with traditional BI, Analytics, ETL, and Data Visualization tools

1. Enterprise Reporting
Visualization, BI and ETL with
Couchbase N1QL, ODBC and JDBC
October, 2014

2. • Worked in data access space for seven years
• ODBC, JDBC, ADO.NET, ODBO, XMLA
• Core developer for the current generation of Simba’s data
access technologies
• Collaborated at an Engineering Level with Simba ISV
Customers to design and implement data drivers that are
today being shipped world wide
Kyle at a glance

3. • Simba connects people to data.
• HQ’ed in Vancouver, BC.
• 100ish employees.
• Founded in 1991.
• In 1992, Simba co-authored the original ODBC standard with Microsoft.
• Simba produces the SimbaEngine® SDK and drivers for the leading data
sources on multiple platforms.
Simba Technologies at a glance

4. Simba Technologies at a glance

5. Simba Technologies at a glance

6. • Partnership to create ODBC and JDBC drivers
• ODBC 3.80
• JDBC 3.0 and 4.0
• Allow easy access to data within Couchbase from your
favourite BI and ETL tools
Simba & Couchbase

7. • Couchbase and Simba Technologies have partnered: Simba is
building high-performance ODBC and JDBC Drivers for Couchbase.
• After completion, Simba and Couchbase will maintain and support
the drivers and Simba will license the Drivers to Couchbase
Customers.
• Why do you need ODBC and JDBC Drivers for Couchbase?
Simba & Couchbase

8. • Full support for ODBC 3.80
• Cross-platform:
• Full 32- and 64-bit support
• Comprehensive Unicode support
• Full SQL and N1QL support
ODBC Driver

9. • JDBC 3.0 and 4.0
• Type 4 JDBC driver
• Full SQL and N1QL support
• Extensive API support
• Not limited to small subset
JDBC Driver

10. What is an
ODBC / JDBC
Driver?

11. • Simba ODBC or JDBC layer
• Handle standard API calls and translate to Data Store Interface
• Simba SQL Parser
• Translates SQL into equivalent N1QL
• Data Store Interface
• Custom to communicate with Couchbase
Architecture

12. • Communicates with Couchbase using REST
• Interprets schema to create relational metadata for JSON
• Does actual conversion of JSON data to relational data
Data Store Interface

13. • Couchbase is NoSQL
• No schema
• ODBC and JDBC are SQL
• Expect a fixed schema
• Must map from schema-less data to a fixed schema
Relational Model

14. • SQL
• Catalog, Schema, Table
• Couchbase
• Pool, Bucket
Catalog => Pool
Table => Bucket
Relational Model

15. Sample JSON Document:
{“Id” : 1, “Name”: “Tom”, “Values” : [V1,V2]}
Simple Flattening
Id Name Values[0] Values[1]
1 Tom V1 V2

16. Sample JSON Document:
{“Id” : 1, “Name”: “Tom”, “Values” : [V1,V2]}
Parent
Child
Normalization
Id Name
1 Tom
Id ArrayIndex Value
1 1 V1
1 2 V2

17. • Provide full SQL-92 support
• Aggregations, joins, scalar functions, sub-queries, limits
• DDL and DML
• N1QL pass-through
• For expert users or N1QL aware applications
THE RESULT ----
SQL and N1QL Support

18. Demo

19. Q & A

20. simba.com