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Innovators, Small and Medium-sized Enterprises
Our customers are the data engineering teams at enterprises who need to power modern business intelligence, AI/ML and smart applications with continuous data.
Flatly is a great way to pipe data to places you need it. It is extremely easy to set-up and has been 100% reliable for us.
When modifying a job, you can miss the need to relaunch the hourly exporting. Going days before realizing the reports haven't been pulling as scheduled.
Overall we are very satisfied. We haven't had to rely on the data backups yet but it gives us peace of mind.
I have been able schedule a regular job to take an extract from Insightly CRM directly into Google sheets so that the data there can be manipulated using Google Apps Script.
Our company needed to flatten data from Google Cloud Firestore-database and Flatly was really to only option to do this and it works great.
Unfortunately the integrations I was looking to use were not currently functional.
They are priced competitively, and actually care about their customers.
Trying to export data files can be a tedious process. Not being able to go past 120 days of transaction history is not ideal.
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.
Flatly
StreamSets Platform
Top FeaturesFlatly
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StreamSets Platform
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