Loading...
Market
Which will be the primary use-case for pgvectorscale by mid-2025?
4
Resolution / Starting Odds
Image Recognition • 25%
Recommendation Systems • 25%
Natural Language Processing • 25%
Genomics • 25%
Industry reports or TimescaleDB usage statistics
Story
TimescaleDB Launches pgvectorscale: Enhances PostgreSQL Performance, 75% Cheaper
Jun 11, 2024, 06:00 PM
TimescaleDB has introduced pgvectorscale, an open-source PostgreSQL extension that enhances the performance and scalability of pgvector. This new extension allows PostgreSQL to outperform specialized vector databases like Pinecone, being 75% cheaper and 100% open-source. Vector databases, essential in AI, handle high-dimensional vectors, making them ideal for tasks such as image recognition, recommendation systems, and natural language processing. The versatility of vector databases extends to genomics, sensor data, and any domain where data can be represented as vectors.
View original story
Similar markets
Less than 10% • 25%
10%-20% • 25%
20%-30% • 25%
More than 30% • 25%
Less than 100 • 25%
100-500 • 25%
500-1,000 • 25%
More than 1,000 • 25%
AWS • 25%
Google Cloud • 25%
Microsoft Azure • 25%
None • 25%
Pgvectorscale significantly better • 33%
Pgvectorscale slightly better • 33%
Pinecone remains superior • 34%
pgvectorscale significantly faster • 25%
pgvectorscale slightly faster • 25%
Performance about the same • 25%
Pinecone slightly faster • 25%
Pinecone significantly faster • 25%
Low adoption • 33%
Moderate adoption • 34%
High adoption • 33%
Significant increase • 33%
Moderate increase • 33%
No significant change • 34%
