About Apama Streaming Analytics

Apama Streaming Analytics is a streaming analytics software platform from Software AG that provides real-time insights for data streams. It combines application and database management, professional services, and education services so users can analyze data in motion effectively. The platform supports various use cases, including monitoring operational metrics and detecting anomalies in real-time. Users can also request free workshops to better understand the capabilities of Apama. Key capabilities: Application and Database Management Professional Services Education Services Products A-Z Free Workshop Requests Best for: data analysts and IT professionals that need to analyze real-time data streams for operational decision-making.

Apama Streaming Analytics Details

Vendor
Software AG
Year Launched
1989
Location
111 W Evelyn Ave, Suite 104, Sunnyvale, California 94086, US
Deployment
cloud
Training Options
videos
Countries Served
All Countries
Languages
English, Portuguese, French, German, Japanese, Korean, Spanish
Users
Data Analysts, Data Scientists, Business Analysts, IT Administrators, Operations Managers, Financial Analysts, Risk Managers, Compliance Officers, Marketing Managers, Sales Managers
Industries Served
Healthcare, Finance, Retail, Manufacturing, Telecommunications, Energy
Tags
Big Data, Streaming Analytics, Real-time Data, Complex Event Processing, SIGNAL pattern detection, Predictive Analytics, Data Visualization

Apama Streaming Analytics's In-App Market Place

Does Apama Streaming Analytics 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$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), INR (₹), BRL (R$), RUB (₽), KRW (₩), ZAR (R)

Pros & Cons

  • • Real-time Processing: Apama excels at processing and analyzing streaming data in real-time, enabling rapid response to events and timely decision-making.
  • • Complex Event Processing: It can handle complex event patterns and correlations, allowing for sophisticated analytics and insights.
  • • Low-Latency: Apama offers low-latency processing, ensuring quick responses to events and minimizing delays in decision-making.
  • • Scalability: The platform can scale to handle high-volume, high-velocity data streams, making it suitable for large-scale applications.
  • • Flexibility: Apama can integrate with various data sources and systems, providing flexibility in data ingestion and analysis.
  • • Developer-Friendly: It offers a developer-friendly environment for building and deploying real-time analytics applications.
  • • Robustness and Reliability: Apama is a proven platform used by many enterprises, ensuring reliability and performance.
  • • Steep Learning Curve: The platform can have a steep learning curve, especially for those new to complex event processing and real-time analytics.
  • • Complexity: Apama's powerful capabilities can make it complex to configure and manage, requiring specialized expertise.
  • • Vendor Lock-in: Relying heavily on Apama can lead to vendor lock-in, making it challenging to switch to alternative solutions.
  • • Limited Community Support: While there is a community around Apama, it may not be as extensive as other open-source platforms, potentially limiting support and resources.

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