2018-08-08T07:09:00Z

What do you like most about StreamSets?

Miriam Tover - PeerSpot reviewer
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PeerSpot user
17

17 Answers

MB
Real User
Top 20
2023-07-21T08:45:00Z
Jul 21, 2023

I really appreciate the numerous ready connectors available on both the source and target sides, the support for various media file formats, and the ease of configuring and managing pipelines centrally.

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Saket Pandey - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-05-17T11:24:00Z
May 17, 2023

The ability to have a good bifurcation rate and fewer mistakes is valuable.

Avinash Mukesh - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-05-17T11:19:00Z
May 17, 2023

It's very easy to integrate. It integrates with Snowflake, AWS, Google Cloud, and Azure. It's very helpful for DevOps, DataOps, and data engineering because it provides a comprehensive solution, and it's not complicated.

Namanya Brian - PeerSpot reviewer
Real User
Top 10Leaderboard
2023-04-14T09:32:00Z
Apr 14, 2023

One of the things I like is the data pipelines. They have a very good design. Implementing pipelines is very straightforward. It doesn't require any technical skill.

Nantabo Jackie - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-03-24T12:46:00Z
Mar 24, 2023

The most valuable features are the option of integration with a variety of protocols, languages, and origins.

Kevin Kathiem Mutunga - PeerSpot reviewer
Real User
Top 10
2023-03-24T12:32:00Z
Mar 24, 2023

The best feature that I really like is the integration.

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Reyansh Kumar - PeerSpot reviewer
Real User
Top 5
2023-03-10T04:20:00Z
Mar 10, 2023

The scheduling within the data engineering pipeline is very much appreciated, and it has a wide range of connectors for connecting to any data sources like SQL Server, AWS, Azure, etc. We have used it with Kafka, Hadoop, and Azure Data Factory Datasets. Connecting to these systems with StreamSets is very easy.

Ramesh Kuppuswamy - PeerSpot reviewer
Real User
Top 5
2023-01-06T23:33:00Z
Jan 6, 2023

The ETL capabilities are very useful for us. We extract and transform data from multiple data sources, into a single, consistent data store, and then we put it in our systems. We typically use it to connect our Apache Kafka with data lakes. That process is smooth and saves us a lot of time in our production systems.

Sumesh Gansar - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-01-06T22:56:00Z
Jan 6, 2023

For me, the most valuable features in StreamSets have to be the Data Collector and Control Hub, but especially the Data Collector. That feature is very elegant and seamlessly works with numerous source systems.

SR
Real User
Top 5
2023-01-06T22:40:00Z
Jan 6, 2023

The entire user interface is very simple and the simplicity of creating pipelines is something that I like very much about it. The design experience is very smooth.

TH
Real User
Top 20
2022-12-01T21:40:00Z
Dec 1, 2022

The most valuable feature is the pipelines because they enable us to pull in and push out data from different sources and to manipulate and clean things up within them.

Prateek Agarwal - PeerSpot reviewer
Real User
Top 5Leaderboard
2022-08-21T07:36:00Z
Aug 21, 2022

It is a very powerful, modern data analytics solution, in which you can integrate a large volume of data from different sources. It integrates all of the data and you can design, create, and monitor pipelines according to your requirements. It is an all-in-one day data ops solution.

Karthik Rajamani - PeerSpot reviewer
Real User
Top 10
2022-06-14T17:08:00Z
Jun 14, 2022

I have used Data Collector, Transformer, and Control Hub products from StreamSets. What I really like about these products is that they're very user-friendly. People who are not from a technological or core development background find it easy to get started and build data pipelines and connect to the databases. They would be comfortable like any technical person within a couple of weeks.

SS
Real User
Top 20
2022-06-09T15:40:00Z
Jun 9, 2022

StreamSets data drift feature gives us an alert upfront so we know that the data can be ingested. Whatever the schema or data type changes, it lands automatically into the data lake without any intervention from us, but then that information is crucial to fix for downstream pipelines, which process the data into models, like Tableau and Power BI models. This is actually very useful for us. We are already seeing benefits. Our pipelines used to break when there were data drift changes, then we needed to spend about a week fixing it. Right now, we are saving one to two weeks. Though, it depends on the complexity of the pipeline, we are definitely seeing a lot of time being saved.

AbhishekKatara - PeerSpot reviewer
Real User
Top 10
2022-05-15T09:42:00Z
May 15, 2022

StreamSets’ data drift resilience has reduced the time it takes us to fix data drift breakages. For example, in our previous Hadoop scenario, when we were creating the Sqoop-based processes to move data from source to destinations, we were getting the job done. That took approximately an hour to an hour and a half when we did it with Hadoop. However, with the StreamSets, since it works on a data collector-based mechanism, it completes the same process in 15 minutes of time. Therefore, it has saved us around 45 minutes per data pipeline or table that we migrate. Thus, it reduced the data transfer, including the drift part, by 45 minutes.

MP
Real User
2020-11-19T21:01:53Z
Nov 19, 2020

It is really easy to set up and the interface is easy to use.

AC
Real User
2018-08-08T07:09:00Z
Aug 8, 2018

The Ease of configuration for pipes is amazing. It has a lot of connectors. Mainly, we can do everything with the data in the pipe. I really like the graphical interface too

StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
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