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IBM StreamSets Pricing Overview

IBM StreamSets at a glance

We offer custom StreamSets pricing that best fits your business. Please contact us for further details.

To try StreamSets for 30 days, start a free trial by visiting https://cloud.login.streamsets.com/signup

IBM StreamSets has 1 pricing edition. A free trial of IBM StreamSets is also available.
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We offer custom StreamSets pricing that best fits your business. Please contact us for further details.
Contact Us
To try StreamSets for 30 days, start a free trial by visiting
  • https://cloud.login.streamsets.com/signup

IBM StreamSets pricing & plans

Free Trial is available
Pricing information for IBM StreamSets is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase IBM StreamSets must be conducted with the seller.
Pricing information was last updated on October 10, 2024
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IBM StreamSets Pricing Reviews

Verified User in Financial Services
CF
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about IBM StreamSets?

The tool has userfriendly interface, which has simplified the process of designing data pipelines. The number of connectors has made it easy for me to integrate various data sources. Also an additional thing is that it can handle both stream and batch data. In the organisation, the client has migrated to StreamSets and it is used almost 80% of the time. The team is quite accessible in case of any defects raised and is very co-orperative. Review collected by and hosted on G2.com.

What do you dislike about IBM StreamSets?

Down sides of using SteamSets might be the cost, for some scenarios the solution might be costlier than the competition, For Large scale data there have been reports of performance issues. Review collected by and hosted on G2.com.

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

For example, the client gets continous stream data from the source, media and other platforms, The extraction part of the streaming data in near real time has very much helped the client to make use of the data refreshes being more frequent and getting quicker insights with high efficiency. Review collected by and hosted on G2.com.

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