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IBM Streams

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Software Status:Active

About IBM Streams

IBM Streams is a data processing software from IBM that supports real-time analytics. It combines event processing, analytics, and machine learning so users can derive insights from streaming data. Designed to handle large volumes of data in motion, IBM Streams allows users to process and analyze data in real time, enabling timely decision-making. It provides a flexible architecture that can be deployed on-premises or in the cloud, catering to various business needs. Key capabilities: event processing analytics machine learning integration with other IBM products support for multiple data sources Best for: data scientists and analysts that need to analyze streaming data for immediate insights.

IBM Streams Details

Vendor
IBM
Year Launched
N/A
Location
505 Howard St, San Francisco, CA 94105, US
Deployment
cloud
Training Options
documentation, videos
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Japanese, Chinese
Users
Data Analysts, Data Scientists, Software Engineers, IoT Developers, DevOps Engineers, System Administrators
Industries Served
Automotive, Banking, Consumer Goods, Energy, Government, Healthcare, Insurance, Life Sciences, Manufacturing, Retail, Telecommunications, Travel
Tags
Data Visualization, IBM Streams

IBM Streams's In-App Market Place

Does IBM Streams have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹), RUB (₽)

Pros & Cons

  • Extreme Speed: Sub-millisecond latency for real-time insights and decision-making.
  • Massive Scale: Handles millions of events/messages per second from diverse sources.
  • Versatile Data Handling: Processes both structured and unstructured data effectively.
  • Cloud-Native Flexibility: Deploys on modern container platforms (Kubernetes, OpenShift).
  • Comprehensive Ecosystem: Offers development tools, various toolkits, and integrations.
  • Complexity: Requires specialized knowledge (SPL, distributed systems) to develop and manage.
  • Resource Intensive: Processing massive data streams in real-time demands significant computing resources.
  • Potential for Learning Curve: Users new to stream processing or IBM's specific tooling may face a steep learning curve.

IBM Streams's Support Options

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