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."
Earn 20 points
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.
Upsolver's mission is to turn engineering-intensive data lakes into easy-to-use repositories that serve 50X more data professionals compared to the status-quo today. Upsolver cuts 95% from the tedious process of preparing event data for analytics and machine learning, using a visual SQL-based interface, a cloud-native data platform and deep technology for stream-processing, indexing and eventually-consistent file systems.
Apache Flink is ranked 4th in Streaming Analytics with 9 reviews while Upsolver is ranked 22nd in Streaming Analytics. Apache Flink is rated 7.6, while Upsolver 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 Databricks, whereas Upsolver is most compared with Databricks.
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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.