
Overall rating
Filter by
Time used
18 Reviews
- Industry: Financial Services
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 10.0 /10
Flexible tool
Reviewed on 7/12/2022
Pros
Easy to use (for experienced users)FlexibilityEscalabilityCloud NativeMulticloud
Cons
It can be really complex to understand for someone not realated to data procesing
- Industry: Computer Software
- Company size: 2–10 Employees
- Used Monthly for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 7.0 /10
an excellent option for DataPipes development
Reviewed on 28/1/2023
Platform where you can develop all in your on-premises and do a cloud deployment when you're ready...
Platform where you can develop all in your on-premises and do a cloud deployment when you're ready right away, to us that a key feature controlling our cloud budget
Pros
The flexibility to deploy on different clouds the same solution
Cons
well know AWS-based sources are missed like Sales ads & seller partner
- Industry: Online Media
- Company size: 501–1,000 Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 1.0 /10
Decent Tool With a Some Tweaks to Make
Reviewed on 24/10/2022
The tool requires a somewhat intimate knowledge with the JVM. In addition to this, it seemed a...
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.
Pros
I enjoy the well built user interface and the ability to see the data in flight in the pipeline.
Cons
It proved to be very difficult to extend a simple pipeline to accomodate a different scenarios. In addition, common stuff like CDC seemed a bit difficult to set up.

- Industry: Information Technology & Services
- Company size: 201–500 Employees
- Used Weekly for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Build ETL pipeline with StreamSets Platform
Reviewed on 30/9/2023
Pros
It is very handy to ingest real-time streaming data for processing which can also scale based on the data volume. It can also be integrated with third party provider tools like snowflake, spark etc.. for data transformation.
Cons
It might be not useful for a very large real-time streaming data as it might take too much time to handle those data and transform accordingly compare to Cloud Dataflow. And another drawback I would say, it doesn't have detailed documentation.
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Weekly for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Streamsets DataOps Platform benefits
Reviewed on 28/12/2022
Good but local instance connection that is connectivity between cloud installed Streamsets platform...
Good but local instance connection that is connectivity between cloud installed Streamsets platform and local messaging instance such as Kafka etc is a real pain. Hope Streamsets comes up with a easy going solution for the same.
Pros
The intuitive GUI of the Streamsets DataOps Platform is really useful and user friendly. The low code - No Code Process Pipeline creation based approach is really helpful for developers to build data pipelines. The connectors are also really helpful as they provide just drag and drop approach to build the pipeline and only do some configurations in order to implement them. Then comes the monitoring tool which helps in monitoring the pipeline and the Jobs in realtime which is very informative and easily understandable. The Strigo platform is also helpful as because it helps in quick setup of the docker instance so that the data collector can be configured quickly to capture realtime data.
Cons
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. Hope Streamsets comes up with a clear and precise documentation for the same. 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 . Hope Streamsets comes up with an easy and comfortable feature to use with proper documentation.
Reasons for Switching to StreamSets Platform
It's better more intuitive , user friendly.- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 7.0 /10
A Handy Platform for ETL and ELT.
Reviewed on 12/5/2023
Pros
I not only love how easily configurable are stages of StreamSets but also other functionality provided by StreamSets. i,e SDK. I have mostly worked on SDK part lately. I also liked streamSets provided 3 engine type for use and provided especially different engine for Snowflake. Streamsets provided handy easily configurable connectors for many famous sources and destinations, which mostly worked in favor of ETL developer. Data drift is main feature of Streamsets.
Cons
As many connectors are provided, but Streamsets also don.t have connectors for many sources and destination. Also SDK kit doesn't have many things not mentioned in documentation. How to configured stages in SDK? but with small work that can be found.
- Industry: Computer Software
- Company size: 11–50 Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
my experience with streamsets
Reviewed on 12/8/2022
overall experience with streamsets was quite satisfying .
overall experience with streamsets was quite satisfying .
Pros
easy to install and use , deployment pipeline is also not complex you can use docker to install and run as container . interface is user friendly but some time is required to understand the features and how it works . i have been using data collector for ingesting data with jdbc to database . streamsets also provides logs for better monitoring , it provides many stages and libraries with them to ingest data from source to destination.
Cons
logging is complex , sometimes preview doesn't work , if you copy and use same pipeline in different server the library dependency create problems .
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Review for the DataOps
Reviewed on 8/5/2023
Personally my overall experience of using the platform is very good.
Personally my overall experience of using the platform is very good.
Pros
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.
Cons
One thing which I feel can be better is the time required to create a engine and restart the same.
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Good ETL Platform and Easy to adapt.
Reviewed on 12/5/2023
Overall experience is good .
Overall experience is good .
Pros
I think the feature that I like is the connectors which included in the platform.
Cons
This is not the least but the connectivity between the data container and the control hub is little bit lagging.
- Industry: Computer Software
- Company size: 10,000+ Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Works like a charm
Reviewed on 23/5/2023
Pros
GUI Based implementation.Can be used using Python SDK which makes it easy to use.
Cons
The functionalities keeps on changing which requires proper documentation to follow.
- Industry: Computer Software
- Company size: 10,000+ Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Streamsets_Review
Reviewed on 16/10/2022
It was quite a nice experience working with streamsets and building ETL pipelines never felt so...
It was quite a nice experience working with streamsets and building ETL pipelines never felt so easy and user friendly . Streamsets is continuously growing and i think it will be more cool and user friendly with time
Pros
It is really easy to use Streamsets and the graphical interface is very user friendly which makes complex designs look easy and more understandable .
Cons
Yeah .i feel that Streamsets is continuously growing and new features are being continuously added .It lacks support for certain databases and certain functionalities are still missing.
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 2+ years
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Wonderful data ops and engineering platform
Reviewed on 20/7/2022
Pros
its ease of use and connectivity to almost all modern platform makes it a wonderful platform
Cons
Since its new there are a lot of things to improve. Such as the bugs. Streamsets should release new version more often.
- Industry: Utilities
- Company size: 1,001–5,000 Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 7.0 /10
Intuitive and easy to use, but the devil's in the details
Reviewed on 25/4/2022
Pros
Setting up data pipelines is easy and straight forward, if connectors are available and not much inflight processing has to be done, one get's quick results
Cons
More complex usecases or REST endpoints often need workarounds or custom code
- Industry: Logistics & Supply Chain
- Company size: 10,000+ Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Modern DataOps tool
Reviewed on 25/4/2022
CDC with high-speed data streaming
CDC with high-speed data streaming
Pros
Great GUI and monitoring of the data streaming pipeline
Cons
- Improve the CDC stage to allow fresh load for a particular table
- Improve error handling messages
- Industry: Information Technology & Services
- Company size: 51–200 Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 8.0 /10
Streamsets Platform Review
Reviewed on 6/2/2023
Pros
The ability to continuously integrate data with a system for alerts to know when things break is a really attractive feature.
Cons
The streamsets platform is not the fastest at times, lags or slows down occasionally.
- Industry: Information Technology & Services
- Company size: 10,000+ Employees
- Used Daily for 1-5 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Modern DataOps Platform
Reviewed on 26/5/2023
it was a great experience using such a tool for the first time. I was amazed by what this tool can...
it was a great experience using such a tool for the first time. I was amazed by what this tool can do with minimul configuration.
Pros
Ability to build pipeline within no time, with so many featurs and configurations available.
Cons
It should have third party based processors. it is trying to build all by itself.
- Industry: Information Technology & Services
- Company size: 2–10 Employees
- Used Weekly for 1+ year
-
Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 10.0 /10
Review of StreamSets DataOps Platform
Reviewed on 25/4/2022
Pros
The best part of this platform is the drag and drop GUI, it allows someone who has never built a pipeline before to understand ETL faster.
Cons
I do not have many cons about this software. I think it allows users to work faster and be more efficient with their time and resources compared to other platforms.
- Industry: Computer Software
- Company size: 10,000+ Employees
- Used Weekly for 6-12 months
-
Review Source
Overall rating
- Ease of Use
- Customer Support
- Likelihood to recommend 8.0 /10
Great on the outside, Brilliant on the inside
Reviewed on 6/7/2022
Pros
CI/CD with StreamSets is great. Support for multiple data platforms makes it a great choice for data integration
Cons
The logging system might be made better. If I work on a pipeline, then make a task from it, and it runs, it will continuously produce logs. Therefore, the logging system might be made simpler. The logs are now a little more challenging to comprehend and filter. It takes a while.