![]() | PravasRay Systems Integration Associate Director at a computer software company |
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Pricing varies based on use, and it is not as costly as some competing enterprise solutions."
"Small and medium-sized companies cannot afford to pay for this solution."
"The cost is too high."
"It's very expensive."
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Informatica Intelligent Streaming allows organizations to prepare and process streams of data and uncover insights while acting in time to suit business needs. It can scale out horizontally and vertically to handle petabytes of data while honoring business service level agreements (SLAs). Intelligent Streaming provides pre-built high-performance connectors such as Kafka, HDFS, NoSQL databases, and enterprise messaging systems and data transformations to enable a code-free method of defining your data integration logic.
IBM InfoSphere DataStage is ranked 5th in Data Integration Tools with 12 reviews while Informatica Data Engineering Streaming is ranked 13th in Streaming Analytics. IBM InfoSphere DataStage is rated 8.0, while Informatica Data Engineering Streaming is rated 0.0. The top reviewer of IBM InfoSphere DataStage writes "Powerful, reliable and the ability to run it in parallel mode makes it very fast". On the other hand, IBM InfoSphere DataStage is most compared with SSIS, Azure Data Factory, Talend Open Studio, Informatica PowerCenter and IBM InfoSphere Information Server, whereas Informatica Data Engineering Streaming is most compared with Databricks, Informatica PowerCenter, Google Cloud Dataflow, Talend Data Management Platform and Boomi AtomSphere Integration.
See our list of best Cloud Data Integration vendors.
We monitor all Cloud Data Integration 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.