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StreamSets Platform

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About StreamSets Platform

IBM StreamSets is a data integration platform from IBM that supports reliable and intelligent streaming data pipelines for real-time decision-making and mitigating risks associated with data flow. It includes features such as fraud detection and risk management, customer 360 and personalization, and streaming data for AI, enabling organizations to harness their data effectively. The platform enables users to manage complex data environments across hybrid and multicloud infrastructures, ensuring reliability in data delivery. Key capabilities: fraud detection risk management customer 360 personalization streaming data for AI integration across platforms Best for: data professionals that need reliable data integration solutions for real-time analytics and decision-making.

StreamSets Platform Details

Vendor
IBM
Year Launched
1989
Location
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Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
All Countries
Languages
English, French, German, Japanese, and Chinese.
Users
Data Engineers, Data Analysts, data engineers, data analysts, and business intelligence professionals across a variety of industries
Industries Served
Financial Services, Healthcare, Retail, Manufacturing, Telecommunications
Tags
Real-time analytics, Data integration, Streaming data, Cloud-native, Low-code development

StreamSets Platform's In-App Market Place

Does StreamSets Platform have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), INR (₹), CNY (¥), SGD ($), CHF (CHF), RUB (₽), BRL (R$), MXN ($)

Pros & Cons

  • Powerful real-time data integration tools.
  • User-friendly platform for creating pipelines, jobs, and subscriptions.
  • Excellent connectivity with modern platforms.
  • Great support for CI/CD and multiple data platforms.
  • Manual installation of Docker instances and setup of connectors can be cumbersome without Strigo.
  • Connectivity issues between local Docker instances and on-premise applications (e.g., Kafka).
  • Requires deep knowledge of JVM for effective use.
  • Difficulties integrating into CI/CD processes.
  • Complex logging and occasional issues with pipeline previews and library dependencies.

StreamSets Platform's Support Options

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