1
Vector databases are the wrong abstraction
Today’s vector databases disconnect embeddings from their source data. We should treat embeddings more like database indexes—here’s how.
Timescale Blog
From the creators of TimescaleDB — the PostgreSQL platform trusted by enterprises processing trillions of metrics daily. Start a free trial or get a demo.
- Popular posts
- 11
- Total points
- 2,049
- HN comments
- 489
- Rank
- #603 company
Visit timescale.com → On Hacker News Feb 2022 – Oct 2024
Databases & Data 11Systems & Performance 5AI & Machine Learning 2Software Engineering 1Math & Algorithms 1Infrastructure & DevOps 1
2
Timescale raises $110M Series C
Timescale just raised $110 million in our Series C, led by Tiger Global alongside all existing investors: Benchmark, New Enterprise Associates.
3
Time-Series Compression Algorithms
These algorithms aren't magic – but combined they can save over 90% of storage costs and speed up queries. Here’s how 5 common ones work.
4
PostgreSQL views and materialized views and how they influenced TimescaleDB
Continuous aggregates are one of Timescale's most popular features, but you can’t fully understand them without some context on Postgres views and materialized.
5
OpenTelemetry Traces and PostgreSQL
Fully managed PostgreSQL from the creators of TimescaleDB. 99.9% uptime SLA, 10,000+ IOPS, columnar compression up to 95%, and built-in search. Try it free.
6
Using Postgres for Everything
What Postgres for Everything means to a dev deploying all sorts of databases. Spoiler: it’s about collapsing your stack and keeping it simple.
7
How we made data aggregation on PostgreSQL better and faster
They’re so fast we can’t catch up! Check out our benchmarks with two datasets to learn how we used continuous aggregates to make queries up to 44,000x faster.
8
Bottomless, consumption-based storage for PostgreSQL built on Amazon S3
Data management decisions don’t have to be costly. Introducing Tiered Storage, a low-cost infinite storage tier for your historical data needs.
9
Pgvector Is Now Faster Than Pinecone at 75% Less Cost
Meet pgvectorscale, an open-source PostgreSQL extension that supercharges pgvector’s vector search performance for large-scale vector workloads.
10
Custom SQL functions for data analytics in PostgreSQL
There is a better way to explore and analyze time-series data with PostgreSQL: hyperfunctions. Learn how to ease your workload with faster and simpler data.
11
TimescaleDB 2.7 vs. PostgreSQL 14
TimescaleDB expands PostgreSQL query performance by 1000x, reduces storage utilization by 90%, and provides time-saving features for time-series and analytical.