Big Data Ingestion: Streaming + Batch

Connect with any data source and data storage system for both streaming and batch use cases on-demand, using pre-built connectors, or by creating your own using our APIs

Connect to Disparate Batch and Streaming Data Sources

In-built connectors to integrate with multiple data sources with sub-second latency:

  • RDBMS, like Oracle, MySQL
  • NoSQL data stores like Hbase and Cassandra
  • Message queues like Kafka, RabbitMQ
  • Cloud data stores like Amazon S3
  • Indexing data stores like Elasticsearch and Solr
  • Distributed file systems like HDFS and Hive

Stream Data from Cloud to An On-premise Cluster and Vice-versa

Use cloud-based connectors such as Amazon S3, Amazon IoT, Azure event Hub and more.

 

Stream Data from Cloud to An On-premise Cluster and Vice-versa

Use cloud-based connectors such as Amazon S3, Amazon IoT, Azure event Hub and more.

 

Input Data Formats and Schema

Ingest and output popular data formats, like JSON, XML, CSV, AVRO,and Parquet, or easily build your own parsers for custom data formats.

Automatic and assisted schema detection.

 

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StreamAnalytix Lite makes Spark easy and expands the base of users that can build Spark based applications. It off¬ers an easy-to-use visual Integrated Development Environment (IDE) to build, deploy and manage Spark based enterprise grade applications.

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