Have the Biggest Big Data DB

Big data is not about a single product or component – it’s an umbrella of technologies and products. You can't really harness the power of big data with a single product. You need a big data solution that encompasses multiple technologies, and a toolbox for big data integration.

While every big data solution is intrinsically different, the requirements are largely the same: a) ingest high velocity data, b) store large volumes of it, and c) extract information from it. Depending on the solution, low latency, performance, and throughput can be key requirements.

The most innovative big data solutions use streaming to move operational data between ingestion points, storage systems, and analytical platforms. Any big data solution will need a scalable, high-performance big data database. What else will be required? That's up to you.

General flow on how connectors work in the ecosystem of streaming and messaging platform


Accelerate your Spark workloads and publish big data results using Couchbase Server. Add ETL, analytics, and machine learning to your Couchbase applications with full support for Spark Core, Spark SQL, and Spark Streaming. Now available with support for Spark 2.1, including the Structured Streaming API.

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Use Couchbase as either a consumer or producer with Kafka message queues. Continuously stream data between Couchbase and Kafka as it is generated. Now available with support for Kafka Connect, which standardizes management, enables end-to-end monitoring, and supports dashboard tools such as Confluent Control Center.

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Build richer, more powerful applications with full-text and geospatial search, querying, and analytics over both text and JSON documents by enabling Couchbase to Elasticsearch replication with a simple plugin.

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