Build Real-Time Data Pipelines with SingleStore Streamliner
Blog post from SingleStore
SingleStore Streamliner is now generally available, offering an integrated solution for streaming data from real-time sources into a persistent endpoint. This tool pairs SingleStore and Apache Spark out-of-the-box, providing a seamless experience for users to build real-time data pipelines without writing code. The product was developed based on the need identified by Pinterest's Kafka+Spark+SingleStore solution showcased at Strata+Hadoop World last February, which highlighted the market's demand for an easy-to-use solution to capture data streams into a persistent endpoint. Streamliner features a simple pipeline-oriented UI, resource sharing, points of extensibility, tracing, and advanced columnstore functionality optimized for data streaming. The product is open-source and available immediately, with easy installation and a library of example Extractors and Transformers.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 14 | 162 | 41 | 15 | +13% |
| Data Pipeline | 2 | 20 | 9 | 5 | +233% |
| Observability | 1 | 1 | 1 | 1 | -83% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.