---
description: Discover the benefits and disadvantages of StreamSets Platform.  Learn the software price, see the description, and read the most helpful reviews for UK business users. 
image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress
title: StreamSets Platform Pricing, Cost & Reviews - Capterra UK 2026
---

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# StreamSets Platform

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> An end-to-end data integration platform to build, run, monitor \& manage smart data pipelines that deliver continuous data for DataOps.
> 
> Verdict: Rated **4.3/5** by 19 users. Top-rated for **Likelihood to recommend**.

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## Overview

### Who Uses StreamSets Platform?

Our customers are the data engineering teams at enterprises who need to power modern business intelligence, AI/ML and smart applications with continuous data.

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.3/5** | 19 Reviews |
| Ease of Use | 4.3/5 | Based on overall reviews |
| Customer Support | 4.1/5 | Based on overall reviews |
| Value for Money | 4.1/5 | Based on overall reviews |
| Features | 4.3/5 | Based on overall reviews |
| Recommendation percentage | 80% | (8/10 Likelihood to recommend) |

## About the vendor

- **Company**: Software AG
- **Founded**: 1989

## Commercial Context

- **Pricing model**: Usage Based (Free Trial)
- **Pricing Details**: Contact StreamSets for pricing details.
- **Target Audience**: 51–200, 201–500, 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+
- **Deployment & Platforms**: Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Linux (Desktop), Chromebook (Desktop)
- **Supported Languages**: English
- **Available Countries**: Albania, Andorra, Austria, Belarus, Belgium, Bosnia & Herzegovina, Bulgaria, Canada, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Gibraltar, Greece, Hungary, Iceland, Isle of Man and 28 more

## Features

- API
- Automated Testing
- Continuous Delivery
- Continuous Deployment
- Data Aggregation and Publishing
- Data Connectors
- Data Extraction
- Data Import/Export
- Data Synchronisation
- Database Support
- Debugging
- Match & Merge
- Multi-User Collaboration
- Pipeline Management
- Real-Time Data
- Repository Management
- Search/Filter
- Third-Party Integrations
- Version Control

## Integrations (13 total)

- Amazon Redshift
- Amazon S3
- Apache Kafka
- Cloudera Enterprise
- Databricks
- Elastic Stack
- Google Cloud
- Microsoft Azure
- MongoDB
- Oracle Service
- PostgreSQL
- Salesforce.org Nonprofit Cloud
- Snowflake

## Support Options

- Email/Help Desk
- FAQs/Forum
- Knowledge Base
- Phone Support
- 24/7 (Live rep)
- Chat

## Category

- [Continuous Integration Tools](https://www.capterra.co.uk/directory/31119/continuous-integration/software)

## Related Categories

- [Continuous Integration Tools](https://www.capterra.co.uk/directory/31119/continuous-integration/software)
- [Data Extraction Software](https://www.capterra.co.uk/directory/30619/data-extraction/software)
- [ETL Tools](https://www.capterra.co.uk/directory/31099/etl/software)
- [Data Integration Tools](https://www.capterra.co.uk/directory/8/integration/software)
- [Big Data Software](https://www.capterra.co.uk/directory/30851/big-data/software)

## Alternatives

1. [Parsio](https://www.capterra.co.uk/software/1023063/parsio) — 4.7/5 (234 reviews)
2. [Apify](https://www.capterra.co.uk/software/150854/apify) — 4.8/5 (416 reviews)
3. [Scrapfly](https://www.capterra.co.uk/software/212653/scrapfly) — 4.9/5 (225 reviews)
4. [NetNut](https://www.capterra.co.uk/software/1059755/netnut) — 5.0/5 (88 reviews)
5. [Coupler.io](https://www.capterra.co.uk/software/202311/coupler-io) — 4.9/5 (108 reviews)

## Reviews

### "A Powerful Tool for Real-Time Data Integration" — 5.0/5

> **mohamed** | *6 October 2024* | Maritime | Recommendation rating: 9.0/10
> 
> **Pros**: What I like most about the StreamSets Platform is how easily it handles real-time data flows, making it simple to move and manage data between different systems.
> 
> **Cons**: Advanced features might require technical expertise, which could be challenging for non-technical teams.
> 
> My overall experience with the StreamSets Platform has been positive. It provides powerful tools for real-time data integration.

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### "A Handy Platform for ETL and ELT." — 4.0/5

> **Pranay** | *12 May 2023* | Information Technology & Services | Recommendation rating: 7.0/10
> 
> **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.

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### "Decent Tool With a Some Tweaks to Make" — 2.0/5

> **John** | *24 October 2022* | Online Media | Recommendation rating: 1.0/10
> 
> **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.
> 
> 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.

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### "Streamsets DataOps Platform benefits" — 5.0/5

> **Tribhuban** | *28 December 2022* | Information Technology & Services | Recommendation rating: 10.0/10
> 
> **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.
> 
> 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.

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### "my experience with streamsets" — 4.0/5

> **Verified Reviewer** | *12 August 2022* | Computer Software | Recommendation rating: 8.0/10
> 
> **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 .
> 
> overall experience with streamsets was quite satisfying .

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## Links

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| en-AU | <https://www.capterra.com.au/software/210700/streamsets-dataops-platform> |
| en-CA | <https://www.capterra.ca/software/210700/streamsets-dataops-platform> |
| en-GB | <https://www.capterra.co.uk/software/210700/streamsets-dataops-platform> |
| en-IE | <https://www.capterra.ie/software/210700/streamsets-dataops-platform> |
| en-IL | <https://www.capterra.co.il/software/210700/streamsets-dataops-platform> |
| en-IN | <https://www.capterra.in/software/210700/streamsets-dataops-platform> |
| en-NZ | <https://www.capterra.co.nz/software/210700/streamsets-dataops-platform> |
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| en-ZA | <https://www.capterra.co.za/software/210700/streamsets-dataops-platform> |

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