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About StreamSets

StreamSets built the industry's first multi-cloud modern data integration platform for DataOps, helping enterprises continuously flow big, streaming, and traditional data to their data science and analytics applications. The platform uniquely handles data drift, those frequent and unexpected changes to upstream data that break pipelines and damage data integrity. The StreamSets DataOps Platform enables execution of any-to-any pipelines, ETL processing, and machine learning with a cloud-native operations portal for the continuous automation and monitoring of complex multi-pipeline topologies.

StreamSets


StreamSets Products (5)
showing 1 - 5

Free Trial


Starting from $0.91 to $3.66/hr for software + AWS usage fees

Execution engine for fast data ingestion-- streaming, batch or CDC

Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)

Free Trial


Starting from $0.99 to $3.98/hr for software + AWS usage fees

Collaborative development, automated deployment and integrated governance of dataflow pipelines.

Linux/Unix, Amazon Linux 7.7 - 64-bit Amazon Machine Image (AMI)


Starting from $0.32 to $0.32/hr for software + AWS usage fees

StreamSets Transformer is an execution engine that runs data processing pipelines on Apache Spark. Using a simple-to-use, drag and drop user interface, users can create pipelines for modern ETL/ELT, stream processing and machine learning operations.

Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)

Free Trial


Starting from $3.20 to $3.20/hr for software + AWS usage fees

StreamSets Transformer is an execution engine that runs data processing pipelines on Apache Spark. Using a simple-to-use, drag and drop user interface, users can create pipelines for modern ETL/ELT, stream processing and machine learning operations.

Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)


Starting from $1.60 to $1.60/hr for software + AWS usage fees

StreamSets Transformer is an execution engine that runs data processing pipelines on Apache Spark. Using a simple-to-use, drag and drop user interface, users can create pipelines for modern ETL/ELT, stream processing and machine learning operations.

Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)

showing 1 - 5