Crossdata
A distributed framework extending Apache Spark with unified SQL access to multiple datastores, optimized connectors, and streaming support.
What is Crossdata?
Crossdata is a distributed framework that extends Apache Spark's capabilities with a unified SQL-like interface for accessing multiple datastore technologies. It solves the problem of fragmented data access by providing optimized connectors, streaming support, and enhanced SQL features across diverse data sources like Cassandra, MongoDB, and ElasticSearch.
Data engineers and analysts who need to query multiple datastores through a single interface, particularly those working with Apache Spark ecosystems and requiring integration with BI tools via JDBC/ODBC.
Developers choose Crossdata for its ability to overcome Spark's limitations with native datasource access, unified SQL across technologies, and self-contained JDBC/ODBC support without Hive dependencies, making big data analytics more efficient and accessible.
Overview
DISCONTINUED - Easy access to big things. Library for Apache Spark extending and improving its capabilities
Use Cases
Best For
- Unified querying across Cassandra, MongoDB, and ElasticSearch datastores
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