How Three Companies Use SingleStore for Data Warehouse Augmentation
Blog post from SingleStore
The text discusses the limitations of traditional data warehouses, which are often plagued by four bottlenecks: limited support for streaming ingest, ETL batch windows, query latencies, and concurrency limitations. SingleStore, a modern data warehouse solution, offers a bold opportunity to achieve 100x performance improvements over traditional data warehouses, running data-intensive analytic workloads, and achieving significant cost reductions. The article highlights three companies that have successfully augmented their data warehouses with SingleStore, including a mobile phone manufacturer, a cybersecurity organization, and a media company. These customers have achieved dramatic improvements in performance, reducing latency and increasing concurrency, while also improving customer experience and bottom-line results. The text concludes by emphasizing the importance of considering data warehouse augmentation as an option for organizations struggling with outdated architectures or slow batch processes.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 13 | 901 | 256 | 93 | -4% |
| Data Pipeline | 5 | 252 | 58 | 32 | +2% |
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