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About Ververica

Ververica is a stream processing platform from Ververica that offers real-time streaming analytics for AI use cases. It combines self-managed capabilities, streaming data movement, and real-time stream processing so users can gain actionable insights from data as it flows. The platform is built on Apache Flink®, ensuring reliability and performance for various applications. Ververica provides a comprehensive customer portal and contact sales options, facilitating easy access to support and resources. Key capabilities: self-managed 3.0 real-time stream processing streaming data movement customer portal contact sales Best for: data teams and organizations that need to implement advanced streaming analytics for immediate business decision-making.

Ververica Details

Vendor
Ververica
Year Launched
2014
Location
Chausseestrasse 20, Berlin, 10115, DE
Deployment
cloud
Training Options
documentation, videos, live online, in person
Countries Served
All Countries.
Languages
German, Spanish, French, Italian, Japanese, Portuguese, English
Users
Data Analysts, Data Engineers, Data Scientists.
Industries Served
Healthcare, Finance, Retail, Manufacturing, Education, Media
Tags
Database

Ververica's In-App Market Place

Does Ververica 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$), CHF (CHF), CNY (CN¥), SEK (kr), NZD (NZ$), INR (₹)

Pros & Cons

  • Built for large-scale stream processing with elastic scaling and high throughput (e.g., 6.9 billion records/second).
  • Offers on-premise, managed cloud, and BYOC deployments, accommodating various enterprise requirements.
  • Designed to streamline operations, allowing teams to focus on business value rather than infrastructure management.
  • Provides enterprise-grade tools aimed at maximizing developer productivity and minimizing resource use.
  • Leverages the power of Apache Flink, an established and robust stream processing framework, with support from its original creators.
  • While based on Apache Flink, the proprietary VERA engine and specialized features might lead to some vendor lock-in.
  • As an enterprise-grade solution with managed services and professional support, it could be a significant investment for smaller organizations.
  • managing a sophisticated streaming data platform can still be complex, especially in self-managed deployments.
  • it might not be the most suitable or cost-effective solution for batch processing or traditional data warehousing needs.
  • a foundational understanding of Apache Flink principles would likely still be beneficial for optimal use and troubleshooting.

Ververica's Support Options

Chatbot

Available

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