This allows the implementation of use cases going beyond today’s exactly-once processing, accessing multiple states in an atomic, consistent way. For example, workloads currently running on traditional database systems, financial transaction processing, and multiway joins.
– An open source API, available on GitHub, including a non-parallel runner for local development and testing.
– A runner for distributed, scalable execution on clusters.
The parallel runner, available in Ververica Platform, relies on
Ververica Streaming Ledger achieves high pipelined throughput with the use of conflict-free scheduling of state access and lightweight logical clocks.
More details about the performance and how it’s achieved are available in the whitepaper.
Maintaining a real-time market position across the organization in order to manage risk and continuously and accurately report to regulators using the latest data is crucial for the modern financial services industry.
Streaming Ledger is an excellent fit for consolidating and keeping a consistent ground truth of data that comes from a variety of disparate front-office data sources. All in real-time with transactional guarantee.
Streaming Ledger serves as a great solution for consistent and accurate bookkeeping of inventories for companies from the logistics and e-commerce industries.