Couchbase Talend Connector

Enterprises use a full spectrum of relational, operational, and analytical data sources in their IT environments. With NoSQL becoming more and more popular within enterprise IT environments, integrating Couchbase Server with traditional enterprise data stores is becoming important. The Talend connector for Couchbase provides you with the integration you need, making it easy to move data between Couchbase and any other data source.

What Couchbase and Talend Provide

Couchbase Server provides easy scalability, low-latency document access, indexing and querying of JSON documents and real-time analytics with incremental MapReduce.

Talend enables you to manage and transform your data between Couchbase Server and other data stores in your enterprise. With the Talend connector for Couchbase, you can:

  • Manage and transform your data between Couchbase Server and any other relational or big data system.
  • Power your reports and dashboards using the data stored in Couchbase without converting your data into relational format.
  • Utilize the power of Couchbase’s pre-computed indexes and aggregates for reporting.
  • Perform advanced ETL functions on your data such as complex transformations, data profiling, cleansing and matching.

High-Level Architecture

The Talend connector for Couchbase connects Couchbase to the Talend big data platform. As shown in the Figure, you can use the Talend connector for Couchbase to move data between Couchbase and any other data store. The connector consists of two components – tCouchbaseInput, the input component, and tCouchbaseOutput, the output component. To bring data from other data sources into Couchbase, tCouchbaseInput takes incoming data streams and transforms them into JSON documents before they are stored in Couchbase. To import data into Couchbase, you can define which data fields need to be transformed into JSON attributes. Similarly, to export data from Couchbase to other data sources, the tCouchbaseOutput connector uses the schema mapping specified by the user to read JSON documents and transform them into target data formats.

Use Cases

Following are some use cases that would benefit from using the Talend connector:

  • Exporting data from traditional data sources. The connector allows you to bridge the old with the new by bringing data from hundreds of components from existing systems into Couchbase. For example, to learn how you can move data from a relational database such as MySQL into Couchbase, check out the following blog
  • Transforming large amounts of data. Using the connector, large amounts of data from different data sources can be transformed before it is stored in Couchbase. The connector allows you to compare, filter, evaluate and group data easily. Without any knowledge of the data store API’s, these data flow transformations can be easily configured using Talend Open Studio.
  • Loading unstructured data into Couchbase. Data that does not fit well into rows and columns can be transformed into schemaless JSON documents and stored in Couchbase.

Getting Started with Talend

To get started with Couchbase Server and Talend:

  • Get the prerequistes
  • Launch Couchbase and Talend Open Studio
    • Start Couchbase, if not started already: sudo /etc/init.d/couchbase-server start
    • Start Talend Open Studio for Big Data, if not started already: /opt/TOS_BD-r101800-V5.3.0/TOS_BD-linux-gtk-x86_64  (Depends on the version and installation directory)
  • Use the designer in Talend Open Studio to plan the data flow to/from Couchbase Server. Depending on your ETL task, you can use one of the following connector components to design your data flow between Couchbase and other data stores.

  • Complete Connector Component Configuration. Configure component connection settings, schema and JSON configuration for the Couchbase connector components. For other connector components, complete the appropriate configuration settings.
  • Run ETL task. Talend will build the ETL task and execute it. If everything built properly, you should not see any errors.