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Stream processing has become the norm in data processing technologies due to its real-time results, simplified architectures, and data-driven applications. Our customers are on a path to real-time performance that allows them to derive insight from data at the moment it’s generated―when it’s the most valuable.
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Apache Flink is the leading technology in the stream processing space. It has been battle tested in production deployments with millions of cores, use cases requiring single digit millisecond latencies and under very high-throughput. Working with
– Apache Flink
– Application Manager, a proprietary component of Ververica Platform that orchestrates Flink applications
– Streaming Ledger, a library for ACID transactions on streaming data
The following components are also included:
– the ELK (ElasticSearch, Logstash, Kibana) stack for centralized logging,
– InfluxDB and Grafana for metrics.
For production use, we recommend integrating with existing logging and metrics systems.
Application Manager is the central component of
Application Manager provides a secured, RESTful API and a web-based user interface for performing stateful operations, such as upgrades, migrations, and roll-backs.
The system supports:
– Configuration and metadata management,
– Integrations with logging and metrics services
– Authentication and authorization
Ververica Streaming Ledger is a revolutionary new technology for stream processing that allows users to implement use cases requiring strong, transactional consistency. Such use cases have traditionally been implemented on relational databases. Modern streaming technologies are more scalable, cost-efficient, and allow for flexible implementations.
Many use-cases from finance, operations, and logistics benefit from serializable ACID transactions on streaming data.
Platform Edition Features |
Stream Editionwith Application Manager |
River Editionwith Application Manager & Streaming Ledger |
|
|---|---|---|---|
| Enterprise Support | Enterprise Support (24x7) | ||
Apache Flink
|
Stateful computation over data streams | ||
| Fault tolerant, highly available exactly-once processing | |||
| Powerful programming APIs for SQL, streaming, and batch | |||
| Excellent performance for low latency, high throughput | |||
Application Manager
|
Managed deployment of Flink on Kubernetes | ||
| Stateful upgrades, migrations, roll-backs | |||
| Configuration and metadata management | |||
| Integrations with logging, metrics, and other services | |||
| "Batteries-included" for logging and metrics systems | |||
| Enterprise Authentication & Authorization Support | |||
Streaming Ledger
|
Serializable ACID transactions on streaming data | ||
| Implementation of flexible shared operations on your current state | |||
| Highly efficient, scalable runtime to execute millions of transactions per second | |||
|
Learn More
About Application Manager |
Learn More
About Streaming Transactions |
Download the report, “dA Platform: Stream Processing for Real-Time Businesses Powered by Apache Flink®”.
Learn more about the business value of a stateful stream processing architecture, how Flink is used in production and what sets it apart as a stream processing framework, and how dA Platform makes it easier than ever to deploy and manage stream processing applications in production.
Download the Report
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