Home / Companies / SingleStore / Blog / Post Details
Content Deep Dive

Objects in SingleStore, Part 2

Blog post from SingleStore

Post Details
Company
Date Published
Author
Shrinivas Sagare
Word Count
742
Company Posts That Month
7
Language
English
Hacker News Points
-
Post removed?
No
Summary

SingleStore, a database system, provides various index types to improve performance and user experience. Indexes are crucial objects that provide path and metadata to the optimizer, and SingleStore supports unique indexes on different table types. Skiplist indexes offer fast insert performance and are optimized for in-memory implementation, while clustered columnstore indexes provide significant data compression and can only be combined with in-memory row store indexes on the same table. Hash indexes are used when equality filters are employed in queries, and full-text indexes enable searching for words or phrases in text columns. Additionally, SingleStore supports storage of JSON data and quickly querying it using indexing on persisted columns.

Trends Found in this Post

No tracked trend matches for this post yet.

Use This Data

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.