StreamSets Data Collector
StreamSets | 3.22.3Linux/Unix, Amazon Linux Amazon Linux 2 - 64-bit Amazon Machine Image (AMI)
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Managing pipeline over StreamSets on K8S environment
What do you like best about the product?
I did not find any difficulties to integrate streamSet Control Hub with Kubernetes by help of StreamSet Controller Agent.
What do you dislike about the product?
Some time updated docker image of StreamSet agent comes with vulnerabilities which the should take are before release.
What problems is the product solving and how is that benefiting you?
I am managing StreamSet control agent in k8s environment and still did not experienced any issue.
Recommendations to others considering the product:
Yes, i will always recommend the SteamSet to others.
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Very powerful tool with a lots of endpoints and high performance
What do you like best about the product?
Easy integration with different endpoints
What do you dislike about the product?
It will be better to have more tutorials and documentation.
What problems is the product solving and how is that benefiting you?
I was working on StreamSets integration with Greenplum using GRPC
Recommendations to others considering the product:
powerful tool with many endpoints and great support
I'll recommend it to my friends because there no single line of code
What do you like best about the product?
Easy to use and understand, just drag and drop. We can graphically monitor the flow.
What do you dislike about the product?
Please increase the origins and destinations
What problems is the product solving and how is that benefiting you?
Integrating cloud data with HDFS
Easy to setup fast data flow with a lot of features and flexibility.
What do you like best about the product?
Convenient access to Hadoop FS, access to web API and parsing a JSON response. You can easily combine a lot of different technologies in one flow (Hadoop, python, Java, web API).
I have started to use it while learning Big Data for learning purposes but now we use it in our company on an everyday basis.
I have started to use it while learning Big Data for learning purposes but now we use it in our company on an everyday basis.
What do you dislike about the product?
Everything beyond expectations. Only one limitation - how to convince people to use it more and it is not easy to find enough professionals on the market.
What problems is the product solving and how is that benefiting you?
Recalculating monthly accounting reports in different currencies
Review
What do you like best about the product?
The ease of development and it doesn’t have any windows OS level footprint.
What do you dislike about the product?
Metadata injection building transformation via template lot of python code a developer have to write down. Most of the ETL developers core and experienced one fear from python they know very well shell scripts due to Informatica and then most of the developers looks out. Try to build something from ui which inturn should generate a standard python code
What problems is the product solving and how is that benefiting you?
Lot of AI / ML . Like building transformations for the main build called for knowledge graph
Senior Data Architect
StreamSets DataOps Platform is an indispensable critical element of my overall data platform strategy in my organization. For instance, the Data Collector is the go-to Swiss Army knife for the ingestion and distribution of data in any enterprise. It is certainly mines!
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