Sold by: Ververica GmbH
Simplify the way you build, deploy, and scale Apache Flink® applications with our fully managed, cloud-native Unified Streaming Data Platform solution. Powered by the ultra high-performance VERA engine, Ververica delivers speeds up to 2x faster than open-source Flink, cutting costs and resource demands while ensuring unmatched scalability and reliability for your real-time (and batch) streaming use cases. Effortlessly run and scale your Flink applications with our fully managed service hosted on our cloud. Ververica handles all underlying infrastructure, operations and maintenance in a shared cloud environment.
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Overview
Ververica empowers businesses with a high-performance data streaming and processing platform that simplifies operations, increases developer efficiency, and enables customers to solve real-time use cases reliably and securely. Our Unified Streaming Data Platform makes it easy for organizations to harness data insights at scale. Powered by VERA, the engine that revolutionizes Apache Flink®, Ververica delivers speeds up to 2x faster than open-source Flink, reducing both costs and resource demands while ensuring reliability and scalability. Connect, process, govern, and analyze your data across any number of real-time use cases, with the Managed Service deployment option designed to make running your Flink operations seamless. Easily deploy your streaming applications in minutes and process hundreds of millions of transactions per second with ultra-low latency. Our unified batch and real-time streaming architecture is ideal for most use cases, including fraud detection, machine learning, AI-driven decision making, real-time analytics, and IoT. With built-in SQL support for Flink, no-code capabilities, and automatic fault recovery, managing your streaming apps has never been simpler. In addition, our Unified Streaming Data Platform is open-core technology that is 100% compatible with open-source Apache Flink, ensuring no vendor lock-in.
Ensure predictable pricing and guaranteed resources with production-ready Ververica Flink clusters hosted on our cloud, all available on-demand with your Reserved Capacity Ververica Cloud Managed Service deployment. Deploy in minutes and focus on delivering business value instead of managing infrastructure. Harness real-time data streams effortlessly, all supported by the expertise of Ververica, the original creators of Apache Flink.
Reserved Capacity Details:
- Allocated compute units tailored for production-ready mission-critical applications
- Available in different Compute Unit (CU) bundles
- Unlimited Number of Workspaces, Storage, and Private Connections
Who is it for? Teams that want to build, deploy, and scale Apache Flink applications without the added complexity of managing underlying infrastructure, while maintaining predictable pricing and guaranteed resource availability.
Highlights
- Ultra-High Performance with VERA: Achieve up to 2x faster speeds compared to open-source Apache Flink® with our Unified Streaming Data Platform, powered by the VERA engine. Process billions of events per second, with data processing delays reduced to milliseconds, ensuring enterprise-level performance for all your streaming applications.
- Develop and Deploy with Ease: Simplify the creation of stream processing apps with a managed cloud environment that supports SQL, Java, and Python. Deploy applications quickly without worrying about infrastructure. Manage the entire lifecycle of your streaming and Flink ML applications using a single, intuitive UI.
- Expert Support and Management: Get production-ready clusters hosted by Ververica, the original creators of Apache Flink.
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Dimension | Description | Cost/12 months |
|---|---|---|
20 CU / hr | $2.06 / hour | $17,798.40 |
30 CU / hr | $3.01 / hour | $26,006.40 |
50 CU / hr | $4.91 / hour | $42,422.40 |
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Ververica has implemented 24/7 year round observability of all Ververica Cloud services. Our Support staff will be automatically alerted in case of anomalies or issues. As a Ververica customer, you have a wide range of support options at your disposal. Whether it's about finding answers to your questions or getting guidance with critical issues, our team is here to help. Ververica provides Free level support without charge for all registered customers, using Ververica Cloud Managed Service deployment option with Serverless: PAYG and Serverless: RC offering types workspaces. This level of support will be through Support Portal and in regards to problems related to using and accessing the Ververica Cloud Services. Target response time is provided on a best-effort basis. This page provides detailed overview of all suport services provided by Ververica. For support services terms please refer to Support Services Terms.
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By Ververica GmbH
By DeltaStream: Powered by Apache Flink
Sentiment is AI generated from actual customer reviews on AWS and G2
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High-Performance Stream Processing Engine
VERA engine delivers up to 2x faster processing speeds compared to open-source Apache Flink, with capability to process billions of events per second and reduce data processing delays to milliseconds
Multi-Language Application Development
Support for SQL, Java, and Python programming languages for developing stream processing applications
Unified Batch and Real-Time Architecture
Single platform architecture that handles both batch and real-time streaming data processing for use cases including fraud detection, machine learning, real-time analytics, and IoT
Automatic Fault Recovery
Built-in automatic fault recovery mechanism for managing streaming applications without manual intervention
Apache Flink Compatibility
100% compatible with open-source Apache Flink with open-core technology foundation, ensuring no vendor lock-in
Stream Processing Engine
Apache Flink-powered platform for real-time analytics and materialized views using SQL
Data Connectivity
Support for multiple streaming data sources including Amazon Kinesis and Apache Kafka with unified streaming catalog organization
Access Control
Role-based access control (RBAC) for authorization of streaming data access without manual ACL management
Streaming ETL Capabilities
Transform, enrich, and aggregate event streams through streaming data pipelines and materialized views
Deployment Options
Serverless architecture with flexibility to deploy in customer VPC or use cloud service without cluster provisioning
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Connectors
120+ pre-built source and sink connectors for integration with AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics
Apache Iceberg table conversion from Kafka topics to enable downstream analytics across AWS services including Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Availability and Reliability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and high availability infrastructure
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling clusters built on Apache Kafka and Confluent's cloud-native Kafka engine, Kora, with serverless stream processing capabilities
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Standard contract
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Customer reviews
Ali Naqi S.
Streaming realtime tickets
Reviewed on May 26, 2023
Review provided by G2
What do you like best about the product?
Been using Ververica Platform for over a year now at workhub-tasks. Our platform processes huge amount of real time tickets and for that we could only rely on flink. Given our specific security requirements we needed an on-prem solution, for that we decided for ververica. The auto-pilot function helped us to save some bucks when at peak times, we are able to scale up and down automatically. Customer support has been helpful throughout. We needed a specific RDBMs connector and they were able to come up with that. +1 for that.
What do you dislike about the product?
It's a bummer that VVP is not offering a native kubernatives operator. That will help us greatly with respect to our CI/CD workflows. Right now we have to use third party open source operator for k8 which are not actively maintained.
What problems is the product solving and how is that benefiting you?
Managing our streaming data implementation. This was a pain pre-Ververica and now it's easily managed and handled. There is still room for improvement but we can say for sure that the value add has had a significant impact on our users experience.