A Multi-tenant, unified platform for end-to-end Spark based ingestion, data processing, quality, blending, enrichment, analytics, machine learning and visualization.

Offers an intuitive visual interface to analyze & interact with data and building pipelines

Ingest, blend and store both batch and streaming data: use built-in connectors for Kafka, S3, ElasticSearch, HBase, Hive and more. Input/output data formats like JSON, CSV, Parquet.

Strong data science enablement: easily build, train, deploy and tune ML models on batch + real-time data. Use built-in operators like Spark MLlib, ML, PMML, H2O.

Supports latest Structured streaming enabled Spark 2.3 operators. Allows custom logic using Java, Scala, SQL and Python.

StreamAnalytix Enterprise AMI
Enables deployment on Databricks or EMR clusters. Leverage existing cloud cluster or launch on-demand clusters to deploy data pipeline. Manage your pipelines, clusters and user accesses from a single place. Enables autoscaling on spark cluster to get elasticity. All operations on clusters are driven by IAM RBAC.

Supported Cluster Runtime are: Databricks 5.5 with Spark2.4.3_2.11, EMR 5.25 with Spark 2.4.3_2.11

Single installation of this AMI will support License for 3 users.