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Research Papers
A Column Store Engine for Real-Time Streaming Analytics
This paper describes novel aspects of the column store implemented in the MemSQL database engine and describes the design choices made to support real-time streaming workloads.
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Research Paper
Cloud-Native Transactions and Analytics in SingleStore
The last decade as seen an incredible rise in specialized database systems. Since its inception, SingleStoreDB has emerged as a revolutionary database designed with the versatility to run both operational and analytical workloads for some of the world's largest financial, telecom, high-tech and energy companies.
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Query Optimization Time: The New Bottleneck in Real- time Analytics
In the recent past, in-memory distributed database management systems have become increasingly popular to manage and query huge amounts of data. For an in-memory distributed database like MemSQL, it is imperative that the analytical queries run fast.
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Research Paper
BIPie: Fast Selection and Aggregation on Encoded Data Using Operator Specialization
Advances in modern hardware, such as increases in the size of main memory available on computers, have made it possible to analyze data at a much higher rate than before. In this paper, we demonstrate that there is tremendous room for improvement in the processing of analytical queries on modern commodity hardware.
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Research Paper
A Column Store Engine for Real-Time Streaming Analytics
This paper describes novel aspects of the column store implemented in the MemSQL database engine and describes the design choices made to support real-time streaming workloads.
Read Now
Research Paper
The SingleStore Query Optimizer: A modern optimizer for real-time analytics in a distributed database
Real-time analytics on massive datasets has become a very common need in many enterprises. These applications require not only rapid data ingest, but also quick answers to analytical queries operating on the latest data.
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