Spark Streaming Alternatives

Confluent offers a real-time data platform built around Apache Kafka.

Open Source

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Open Source

Leo enables teams to innovate faster by providing visibility and control for data streams.

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Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Open Source

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.

Spring Cloud Data Flow is a platform capable of stream and batch data pipelines having the tools to create delicate topologies.

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Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.