- Striim is a startup specializing in streaming data integration.
- Striim ingests data from databases, log files, messaging systems, cloud apps.
- The platform offers monitoring and validation features.
- Its customers can connect with their data in public and private clouds.
Striim is a Palo Alto, California-based real-time data integration software. It enables continuous data ingestion, in-flight stream processing, and delivery. Striim is a developer of data integration and operational intelligence solution designed to enable continuous query processing and streaming analytics. The company’s platform specializes in integration from a wide variety of data sources such as transaction change data, events, log files, applications, and IoT sensor data along with real-time correlation across multiple streams.
Striim is a non-intrusive platform that combines streaming integration and intelligence in a single platform. Streaming data can be enriched with reference and historical data for context, at-speed, and at-scale.
Striim startup raises $50 Million in Series C Funding Round.
The startup specializes in streaming data integration. Today, it closed a $50 million Series C funding round. Goldman Sachs Growth Equity. Striim founder and CEO Ali Kutay led this round. It will power cloud integration, edge processing, and streaming analytics. Data modernization continues to be a major push, with Gartner predicting that over 75% of midsize and large companies will deploy a multi-cloud or hybrid IT strategy by 2021.
Reflecting this uptick, Markets and Markets anticipates that the multi-cloud management sector will climb. It raised from $1.17 billion in value in 2017 to $4.49 billion by 2022.
Striim ingests data from databases, log files, messaging systems, cloud apps
Striim continuously ingests data from databases, log files, messaging systems, and cloud apps. Internet of things devices, performing processing including filtering, transformations, aggregations, masking, and metadata enrichment. The platform offers monitoring and validation features that help to trace and confirm the collection and delivery of streaming data, as well as a wizard that leads customers through the process of defining data flows and connections.
Striim customers can connect with their data in public and private clouds and build custom pipelines with routing and rules defined in an SQL-like language. Out-of-the-box dashboards show table-level metrics and latency of data delivery, with tools admins can use to configure performance and uptime alerts and self-healing pipelines with remediation workflows. These dashboards can also incorporate AI for deeper insights and expose metrics on connector components including reading and write rates, lag, latency, and CPU usage