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StreamSets VS Slurp Data Services Platform

Compare StreamSets VS Slurp Data Services Platform and see what are their differences

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StreamSets logo StreamSets

StreamSets provides Continuous Ingest technology for the next generation of big data applications.

Slurp Data Services Platform logo Slurp Data Services Platform

The easy data services platform for Windows, Unix or the Cloud. The code-free, agile, one-stop solution for data services. An ETL tool (Extract, Transform and Load) but with streaming capabilities.
  • StreamSets Landing page
    Landing page //
    2023-09-13
  • Slurp Data Services Platform Landing page
    Landing page //
    2022-05-23

Create, test and deploy services in MINUTES rather than days or weeks. Coding skills NOT required (done via GUI). Deciding on any software frameworks NOT required (has native support for XML, JSON, SOAP, SQL etc). Deciding on any additional software NOT required (integrated web and OAuth2 servers). STUNNING performance due to ultra-efficient runtime and support for Java Virtual Threading. Create, test, debug, deploy across mixed Windows/ Unix/ Cloud. FREE download for unlimited users, a licence is only required to run production services.

StreamSets

Website
streamsets.com
Pricing URL
Official StreamSets Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

Slurp Data Services Platform

Website
slurpdata.com
Pricing URL
Official Slurp Data Services Platform Pricing
$ Details
freemium £1000.0 / Annually (Single server, unlimited users, bulk licensing options available)
Platforms
Windows Linux Mac OSX Cloud
Release Date
2022 May
Edit details

StreamSets features and specs

No features have been listed yet.

Slurp Data Services Platform features and specs

  • Integration APIs: Yes
  • Integrations: Yes
  • No Coding Skills Required: Yes
  • No code required: Yes
  • Rest API Integration: Yes
  • RESTful API: yes
  • Web App: Yes
  • Free Trial: Yes
  • Drag & Drop Interface: Yes
  • Easy to use: Yes
  • Scheduling: Yes
  • User Permission Management: Yes

StreamSets videos

+ Add

What is StreamSets Transformer?

More videos:

  • Review - Making Apache Kafka Dead Easy With StreamSets | DZone.com Webinar
  • Review - Power Your Delta Lake with Streaming Transactional Changes - Rupal Shah (StreamSets)

Slurp Data Services Platform videos

+ Add

Service Designer (best viewed with resolution at least 720p)

Category Popularity

0-100% (relative to StreamSets and Slurp Data Services Platform)

StreamSets

Slurp Data Services Platform

DevOps Tools
100 100%
DevOps Tools
0% 0
Data Integration
0 0%
Data Integration
100% 100
Continuous Integration And Delivery
100 100%
Continuous Integration And Delivery
0% 0
Games
0 0%
Games
100% 100

User comments

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Social recommendations and mentions

Based on our record, StreamSets seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

StreamSets mentions (2)

  • Best way to automate JSON to CSV/Relational Tables at scale? Anyone have used Flexter?
    If you would like to take a look at https://streamsets.com/ the Data Collector product can handle this for you as well as dynamically generate the target tables. It has a number of functions to handle your JSON no matter the complexity. However, given the dynamic nature it may benefit to touch base so please feel free to chat or message me. Source: almost 2 years ago
  • Data engineering in reality
    StreamSets offers a free tier and free option for training. You can build, run, and manage your pipelines in one place. Source: about 2 years ago

Slurp Data Services Platform mentions (0)

We have not tracked any mentions of Slurp Data Services Platform yet. Tracking of Slurp Data Services Platform recommendations started around Jun 2021.

What are some alternatives?

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adapta-gtk-theme - An adaptive Gtk+ theme based on Material Design Guidelines - adapta-project/adapta-gtk-theme

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