Postgres Materialized Views, The Timescale Way
Blog post from Tiger Data
Continuous aggregates are incrementally updated materialized views that function as real-time aggregations. They automatically update the results of your query in the background, ensuring that new data is incorporated and old data is adjusted based on your refresh policy. This feature addresses the problem of maintaining the most current data using continuous aggregates by filling gaps with the latest raw data from your table or view. Real-time aggregates extract the most recent yet-to-be-materialized raw data from the source table or view and add it to the recently retrieved raw data from your table or view, giving you an up-to-date view of your data for real-time analytics.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 15 | 2,551 | 676 | 196 | -6% |
| Developer Experience | 1 | 416 | 177 | 97 | +12% |
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.