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SingleStore Makes Analytics 20-100x Faster

Blog post from SingleStore

Post Details
Company
Date Published
Author
Vijay Raja
Word Count
1,176
Company Posts That Month
11
Language
English
Hacker News Points
-
Post removed?
No
Summary

SingleStore's unified database can address performance bottlenecks in traditional data warehouses, such as chronic sluggishness due to streaming data ingestion, long ETL batch windows, query latencies, and high concurrency. By augmenting these patterns with SingleStore, customers can achieve ultra-fast data ingestion, super-low latency, and high concurrency, enabling fast analytics and sub-millisecond performance at-scale. This is achieved through three key capabilities: ultra-fast data ingestion, super-low latencies, and high concurrency. Customers can use SingleStore to augment their data warehouses in various ways, including using it as a data mart, implementing the Lambda architecture for fast analytics, or combining both patterns with the Fast or Lambda Plus architecture. These solutions have been successfully implemented by leading companies across diverse industries, resulting in significant improvements in performance and user experience.

Trends Found in this Post
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Real-time 9 937 294 99 -19%
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