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![PostgreSQL and Pgvector: Now Faster Than Pinecone, 75% Cheaper, and 100% Open Source](/blog/content/images/size/w600/2024/06/postgresql-vs-pinecone.jpg)
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![Building the Best PostgreSQL GUI: Announcing Our Acquisition of PopSQL](/blog/content/images/size/w300/2024/04/popsql-timescale.png)
![Unveiling the New Timescale Community Templates](/blog/content/images/size/w300/2024/03/Unveiling-the-New-Timescale-Community-Templates-1.png)
![Migrating a Terabyte-Scale PostgreSQL Database to Timescale With (Almost) Zero Downtime](/blog/content/images/size/w300/2023/10/Migrating-a-Terabyte-Scale-PostgreSQL-Database-with-Almost-Zero-Downtime.png)
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![Teaching Postgres New Tricks: SIMD Vectorization for Faster Analytical Queries](/blog/content/images/size/w300/2023/11/SIMD-Vectorization-for-Faster-Analytical-Queries_cover.png)
![Scaling PostgreSQL for Cheap: Introducing Tiered Storage in Timescale](/blog/content/images/size/w300/2023/11/Blog.png)
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![Introducing Dynamic PostgreSQL: How We Are Evolving the Database to Help You Sleep at Night](/blog/content/images/size/w300/2023/11/buy-the-base.png)
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![Savings Unlocked: Why We Switched to a Pay-For-What-You-Store Database Storage Model](/blog/content/images/size/w300/2023/06/timescale-postgres-elephant-3.png)
![Announcing the New Timescale](/blog/content/images/size/w300/2023/05/2023-05-15-Timescale-rebrand-blog-hero.png)
![Scaling PostgreSQL With Amazon S3: An Object Storage for Low-Cost, Infinite Database Scalability](/blog/content/images/size/w300/2023/10/Screenshot-2023-10-17-at-11.37.49-AM.png)
Scaling PostgreSQL With Amazon S3: An Object Storage for Low-Cost, Infinite Database Scalability
You can now tier data to object storage in Timescale Cloud for low-cost, infinite database scalability. Keep accessing your data seamlessly via your hypertable with no extra charge per query.
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![How We Made Data Aggregation Better and Faster on PostgreSQL With TimescaleDB 2.7](/blog/content/images/size/w300/2022/06/candlesticks-2.png)
How We Made Data Aggregation Better and Faster on PostgreSQL With TimescaleDB 2.7
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, while requiring 60 % less storage (on average).