ET

Eliana T.

streamsets analyst

Small-Business (50 or fewer emp.)

6/9/2022

"it was good, user friendly, the help desk is very good"

4.5/5

What do you like best about IBM StreamSets?

it´s really user friendly, there´s a lot of information in the portal Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

sometimes there are a lot of tricks that can´t be found in the portal and you go around without knowing how to proceed Review collected by and hosted on G2.com.

UI

Verified User in Insurance

Mid-Market (51-1000 emp.)

8/19/2022

"Streamsets is a great product for dataops."

5/5

What do you like best about IBM StreamSets?

the ability to create a pipeline with with visual representation of the excecutions. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

this training provided is very basic and could be more specific. Review collected by and hosted on G2.com.

BR

Bishnu R.

Mid-Market (51-1000 emp.)

10/24/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Managing pipeline over StreamSets on K8S environment"

5/5

What do you like best about IBM StreamSets?

I did not find any difficulties to integrate streamSet Control Hub with Kubernetes by help of StreamSet Controller Agent. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Some time updated docker image of StreamSet agent comes with vulnerabilities which the should take are before release. Review collected by and hosted on G2.com.

MV

Meghana V.

Engineer

Small-Business (50 or fewer emp.)

3/24/2021

"Very good data operation platform, Hassle-free filtration of data and numerous options for the same"

4/5

What do you like best about IBM StreamSets?

Right from the ingestion,filtering,debugging by looking into preview or snapshots

Decent data processing speed, lightweight data collector to configure pipeline, processing the data,preview the data, monitor the pipelines.

Friendly user interface for deleting or adding the connection ,stop,start the pipeline Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Rate of consumption of real time data can be improved to avoid the lag/dataloss

Editing the single component should be more independent Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

For the consumption of real time rawdata from our site and filtering,tagging the data to get the number of transactions and this helped us to monitor the system as well as to build our Workloadmodel.

Anomaly detection based on the traffic pattern.

Storing of raw data increases cost,using streamset we filtered out unnecessary data and used only required data for analysis. Review collected by and hosted on G2.com.

SS

sai s.

sr. software engineer

Enterprise (> 1000 emp.)

3/21/2021

"Streamsets review"

3.5/5

What do you like best about IBM StreamSets?

It was very useful when we have used it for loading our tables into hive databases and easy to configure as most of it was drag and drop and minimal customisation required when using streamsets I found it much easier compared to NIFI Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

It been a while that I had actually worked with streamiest but when I used to work on the platform we used to face some issues while mapping the components in the data flow we used to face some performance issues for huge datasets Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

we used streamsets for building the data lake in our insurance company where we would be getting files at multiple times of the day and the pipes used to trigger when ever the files used to arrive at the landing zone. we used to perform various transformations and data quality checks with in streamsets and used to load the data in hive tables in onpremises Review collected by and hosted on G2.com.

SK

Sai Charan K.

Big Data Developer

Mid-Market (51-1000 emp.)

3/19/2021

"New attractive tool, but few under the hood improvements needs to be done."

3/5

What do you like best about IBM StreamSets?

GUI is the best and much simpler. It is self explanatory for any range of experience guy to understand.

You need not write complex programming for any kind of implementation. It is as simple as dragging and configuring something you want to implement.

Literally you can connect to any kind of system as a source and any kind of system as a destination.

Scheduling was much more easier when it comes to streamsets, unlike other systems and tools we had, a wide variety of scheduling options here.

Wish there was an option to increase the rate of ingestion.

Having streamsets transfomers is an additional advantage while we are developing the applications.

It is very easy to save and export the jobs or the pipelines. Not just this, it also very easy to share the pipelines/jobs.

Last but not the least, we have topologies where you can view the status of all the pipelines which you have developed and monitor. This can used like a collective system where all the status of the project's jobs can be viewed. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Debugging an issue will take a lot of time. Logs were not that clear while we were debugging.

You can only select one single source for a pipeline. There are few applications where you need to apply the same logic for multiple sources. For this use case you need to create multiple pipelines and add coordination between them. Review collected by and hosted on G2.com.

ML

Mateus L.

Mid-Market (51-1000 emp.)

10/28/2020

"Streamsets: Data Ingestion Master"

4.5/5

What do you like best about IBM StreamSets?

The possibility of getting data from almost any place, transforming it, and sending it at any other place.

Also the API is very useful as you can launch jobs from airflow, for example. Ease of use, parameters that help you configuring things like Mongo, Kafka, etc. The many transformational steps that you can add to a pipeline.

The parameters that can be sent through the API with airflow so you can customize lots of things and have lots of automation.

User friendly, fast, reliable, capability of handling errors with GCS or Kafka, for exmple. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

The open source version don't have all of the features that the enterprise version offers (control hub). It's not actually something I dislike but you gotta know how to manage a linux server to get the best ouf of it with the lower possible cost. It's not hard though. Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

Try it, you can use docker to try it in your computer in an easy way. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Data Ingestion and Processing, getting data from one place (json or relational), transforming it, and loading and ingesting it somewhere else (bigquery, postgres) Review collected by and hosted on G2.com.

SK

Srigiri K.

Associate Director/Enterprise Solution Architect - BigData & AA

Enterprise (> 1000 emp.)

10/30/2020

"Experience in using Streamsets in Data Ingestion PipeLine"

4/5

What do you like best about IBM StreamSets?

Ease of usage including easy to install and configure. Nice GUI interface which is web based for development and admin work. Connectors availability for different systems. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Missing auto performance and scalability option. No drifting support. Incase of any issues related to performance and scalability, it is next to impossible to understand what caused the issues and what will be the fix. Also, not useful for ETL operations which makes us to depend upon other tools in E2E integration needs. Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

There few things which StreamSets still lacks and need those to have one stop solution for Data Ingestion. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

We have used Streamset in our Data Ingestion pipeline for extracting the data sets from various heterogenous source systems like SalesForce, Oracle databases etc. Is very good in extracting the data sets for CRM systems like Salesforce etc but was not able to use it as end to end integration tool as it lacks certain functionalities. Review collected by and hosted on G2.com.

MM

Marco M.

Big Data Consultant

Mid-Market (51-1000 emp.)

10/21/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Friendly and powerful ETL framework, still evolving"

3.5/5

What do you like best about IBM StreamSets?

Intuitive, very useful plugins, easy to deploy/maintain. It's really awesome how can you build pipelines for microservices, streaming and batch purposes in a single environment.

Very straightforward to be installed and ready to use, even for production (at least for the essential parts, then obviously should be reviewed with a security team) Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

The bugs you may find are solved with workarounds, you have to wait a bit for a stable solution. Some missing plugins (but they will be added soon, if not already).

Many updates during the year, if you don't have a proper set up to move from test/pre-production to production, you may have some issue to face every time Review collected by and hosted on G2.com.

Recommendations to others considering IBM StreamSets:

Create always a box that can be easily updated with the latest release: a lot of issues might be solved in every minor. Moreover, it can be easily updated using the logic of a git repo

Try to use always the Streamsets logic as much as possible and avoid to have big groovy/Jython block, you will benefit from it

Prepare a CI if possible to keep Stremasets always up-to-date

Share any debug or solution you may have found in the community, a lot of people may look for it Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Managing the entire preprocessing during ingestion. It's very handy, easy to add new pipelines for new data sources or maintain the already present ones Review collected by and hosted on G2.com.

UT

Verified User in Telecommunications

Mid-Market (51-1000 emp.)

3/20/2021

"Data Migration cross RDBMS and NO-SQL become very easy."

5/5

What do you like best about IBM StreamSets?

I found it very flexible and GUI-based configuration makes it very user-friendly. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

So good so far, didn't find anything wrong about streamsets as of now. Review collected by and hosted on G2.com.

What problems is IBM StreamSets solving and how is that benefiting you?

Data Migration from RDBMS to RDBMS and RDBMS to NO-SQL.

By using StreamSets I am able to migrate data without any downtime and without any help from DBA. in the traditional way we were doing import and export for RDBMS to RDBMS which is not now needed. from RDBMS to NO-SQL I was using custom scripts to export data in CSV from Oracle and import it in Cassandra but now I have created a pipeline and all work is sorted now. Review collected by and hosted on G2.com.