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Enterprise companies, Marketing teams, Digital Agencies, Marketing Agencies, Retail, CPG, Real Estate, Finance, SaaS, Healthcare, Pharma, Media, Entertainment, Transportation, and AdTech.
Our customers are the data engineering teams at enterprises who need to power modern business intelligence, AI/ML and smart applications with continuous data.
The connectors are robust and the list of connector is always growing. The solution is very easy to use and provided maximum flexibility while keeping the relevant infrastructure best practices.
While creating complex Rivers (or ETL scripts) it might be a bit frustrating to rearrange the various building blocks using drag and drop.
A great platform which makes life super easy in pulling data from API's. It's also a great ETL tool, super easy and simple UI, easy to control all your process.
There is no development environment, but this is supposed to be released soon.
I am working with Rivery for more than 2 years, after I experienced with other tools I think it is an amazing tool.
Overall it's a great ETL tool that will help you to focus on ETL logic and business insights with minimum maintenance and infra actions.
Its ease of use and connectivity to almost all modern platform makes it a wonderful platform.
It's that the manual installation of docker instance and manual setups of all the needed connectors in the local desktop instance if the streamsets is used without Strigo which is a real pain.
I have been using DataOps platform since past 6 months and had a very good experience while creating pipelines, jobs, subscriptions and all other things. Moreover the platform is very user friendly.
Also connectivity between local docker instance(where data collector is set up) and applications installed outside cloud and on premise such as Kafka instance(installed on premise) is a real pain.
CI/CD with StreamSets is great. Support for multiple data platforms makes it a great choice for data integration.
Logging is complex , sometimes preview doesn't work , if you copy and use same pipeline in different server the library dependency create problems.
My overall experience with the StreamSets Platform has been positive. It provides powerful tools for real-time data integration.
The tool requires a somewhat intimate knowledge with the JVM. In addition to this, it seemed a bit difficult to integrate into our CI-CD process as well.
Rivery
Top FeaturesStreamSets Platform
Rivery
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StreamSets Platform
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