We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This is an open-source platform that can be used free of charge."
"The solution is open-source, which is free."
"Apache Flink is open source so we pay no licensing for the use of the software."
"It's an open-source solution."
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Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.
Apache Flink is ranked 4th in Streaming Analytics with 9 reviews while Striim is ranked 15th in Streaming Analytics. Apache Flink is rated 7.6, while Striim is rated 0.0. The top reviewer of Apache Flink writes "Scalable framework for stateful streaming aggregations". On the other hand, Apache Flink is most compared with Amazon Kinesis, Spring Cloud Data Flow, Azure Stream Analytics, Google Cloud Dataflow and SAP Event Stream Processor, whereas Striim is most compared with Confluent and Talend Data Streams.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.