Transactional and Analytical Workloads - How Transactional and Analytical Performance Impacts the TCO of Cloud Databases

Bereich: Whitepaper

Organizations rely on data-intensive applications to effectively compete in the digital service economy. These applications require a data architecture designed to handle both transactional and analytical processing, without sacrificing speed, latency, data size, concurrency or query complexity. 

Most organizations tend to solve this by stitching several database technologies together — only to run into challenges including development complexity, skyrocketing operational costs and data duplication. Instead of constantly adding a specialized database as data demands increase, businesses need to consolidate their technologies in favor of  modern, scalable architectures.

This report highlights the results of a GigaOm Field Test derived from three industry benchmarks: TPC Benchmark™ H (TPC-H), TPC Benchmark™ DS (TPC-DS), and TPC Benchmark™ C (TPC-C).

Download the report to uncover: 

  • Performance testing for SingleStoreDB, Amazon Redshift and Snowflake
  • In-depth TCO testing and analysis

This GigaOm report benchmarks SingleStoreDB against Amazon Redshift, MySQL, PostgreSQL and Snowflake for overall TCO and performance. 

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