Striim provides a unified data integration and streaming platform that enables real-time data ingestion and processing from diverse sources, including transaction logs and IoT sensors, using a SQL-like streaming engine. This technology allows businesses to achieve immediate insights and automate decision-making processes, enhancing operational efficiency and responsiveness to customer needs.
Funding
$50M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
GGFounders
Product
Problem
Many organizations struggle to integrate and process real-time data from diverse sources, including databases, applications, and cloud platforms, leading to delayed insights and hindering timely decision-making. Traditional batch processing methods cannot keep pace with the velocity and volume of modern data streams, resulting in missed opportunities and operational inefficiencies.
Solution
Striim provides a unified data integration and streaming platform that enables organizations to ingest, process, and analyze real-time data from various sources. The platform leverages Change Data Capture (CDC) to efficiently extract data from databases and other systems, ensuring minimal impact on source systems. With its distributed, streaming SQL engine, Striim allows users to perform transformations, aggregations, and enrichments on data streams in real time. The platform offers both a fully managed cloud service and a self-managed platform, providing flexibility for different deployment environments. By delivering real-time insights and enabling automated actions, Striim empowers businesses to enhance operational efficiency, improve customer experiences, and gain a competitive edge.
Target Audience
Striim is designed for enterprises across various industries, including financial services, retail, healthcare, manufacturing, and telecommunications, that require real-time data integration and analytics capabilities.
Features
- Real-time data ingestion from a wide variety of sources, including databases, applications, message queues, and cloud services
- Change Data Capture (CDC) technology for efficient and low-impact data extraction
- Distributed, streaming SQL engine for real-time data transformation and analysis
- Pre-built connectors for popular databases, data warehouses, and cloud platforms like Azure Synapse Analytics, Databricks, Google BigQuery, and Snowflake
- Intelligent schema evolution capabilities to handle data drift and schema changes
- Data pipeline monitoring and alerting through a web-based dashboard and REST APIs
- Support for AI and ML integration, enabling real-time feature engineering and model deployment
- Flexible deployment options, including a fully managed cloud service (Striim Cloud) and a self-managed platform