Couchbase and SQL
Digital Economy companies store their operational data in JSON using Couchbase. Integrating that JSON data with the universe of existing relational tools and applications increases productivity, leverages existing skills and resources, and decreases time to market.
Database connectors, like ODBC, JDBC, and ADO.NET are used by millions of applications every day for many purposes including ETL, BI, and reporting. Developers, DevOps, Architects, and End Users all depend on reliable, scalable, high-performance connectors to enable their tools and applications.
Couchbase’s SQL-based query language, called N1QL, provides full SQL access to your JSON data (including joins, aggregates, and optimized index data access). This makes database connectors to Couchbase more efficient, performant, and scalable than other NoSQL providers. Which integration challenge are you trying to solve? Odds are you’ll find a tool or a connector below that makes it easier.