2018-08-08T07:09:00Z
it_user434868 - PeerSpot reviewer
Senior Director of Delivery at a tech services company with 51-200 employees
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What is your primary use case for StreamSets?

How do you or your organization use this solution?

Please share with us so that your peers can learn from your experiences.

Thank you!

2
PeerSpot user
2 Answers
MP
Data Engineer at a energy/utilities company with 10,001+ employees
Real User
2020-11-19T21:01:53Z
Nov 19, 2020

We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.

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AC
Senior Technical Manager at a financial services firm with 501-1,000 employees
Real User
2018-08-08T07:09:00Z
Aug 8, 2018

It performs very well. The main use is to extract information from some of our Kafka topics and put it in our internal systems, flat files, and integration with Java.

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Related Questions
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Aug 21, 2022
If you were talking to someone whose organization is considering StreamSets, what would you say? How would you rate it and why? Any other tips or advice?
2 out of 4 answers
AbhishekKatara - PeerSpot reviewer
Technical Lead at Sopra Steria
May 15, 2022
For people who are starting out, the simple advice is to first try out the cloud login of StreamSets. It is freely available for everyone these days. StreamSets has released its online practice platform to design and create pipelines. Someone simply needs to go to cloud.login.streamsets.com, which is StreamSets official website. It is there that people who are starting out can log into StreamSets cloud and spin up their StreamSets Data Collector machines. Then, they can choose their execution mode. It is all in a Docker-containerized fashion. You don't need to do anything. You simply need to have your laptop ready and step-by-step instructions are given. You just simply spin up your Data Collector, the execution mode, and then you are ready with the canvas. You can design your pipeline, practice, and test there. So, if you want to evaluate StreamSets in basic mode, you can take a look online. This is the easiest way to evaluate StreamSets. It is a drag-and-drop, UI-based approach with a canvas, where you design the pipeline. It is pretty easy to follow. So, once your team feels confident, then they can purchase the StreamSets add-ons, which will provide them end-to-end solutions and vendor support. The best way is to log into their cloud practice platform and create some pipelines. In my current project, there is a requirement to integrate with Snowflake, but I don't have Snowflake experience. I have not integrated Snowflake with StreamSets yet. I personally love working on StreamSets. It is part of my day-to-day activities. I do a lot of work on StreamSets, so I would rate them pretty well as nine out of 10.
SS
Senior Data Engineer at a energy/utilities company with 1,001-5,000 employees
Jun 9, 2022
Every tool in the market at the moment has some major gaps, especially for large enterprises. It could be the way that the data or pipeline is secured. At present, StreamSets looks like the market leader and is trying to fill that gap. For anyone going through a proof of concept for various tools, StreamSets is almost at the top. I don't think that they need to look any further. We are working only with API, a relational database management system, and our enterprise warehouses at the moment. We are not using any streaming sort of ingestion at the moment. We are not using Snowflake Transformer yet. It just got released. We are using a traditional Snowflake destination stage because our enterprise is huge. We have our own Snowflake architecture. We load the security in the data into our own databases using the destination stage, not Transformer yet. I would rate the solution as 7.5 out of 10.
Mike Lampa - PeerSpot reviewer
Co-Founder & Chief Analytics Officer at Great Data Minds, LLC
Dec 10, 2021
Hi, So many products in the market these days for building, deploying & monitoring Data Pipelines for Cloud based analytics.  Currently, I'm assessing Matillion ETL and StreamSets, which appear on par (on the surface). I'm curious what 1st hand experiences folks have. Thanks for the help!
See 1 answer
Evgeny Belenky - PeerSpot reviewer
Director of Community at PeerSpot (formerly IT Central Station)
Dec 10, 2021
Hi @reviewer1292532 ​and @reviewer1339230, can you please assist @Mike Lampa with this question?
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