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VisitWhich vector database will lead by market share by end of 2024?
pgvectorscale • 25%
Pinecone • 25%
Milvus • 25%
Weaviate • 25%
Industry market share reports
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.
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Pinecone dominates >50% market share • 25%
Pinecone holds 25-50% market share • 25%
Pinecone holds 10-25% market share • 25%
Pinecone holds <10% market share • 25%
pgvectorscale significantly faster • 25%
pgvectorscale slightly faster • 25%
Performance about the same • 25%
Pinecone slightly faster • 25%
Pinecone significantly faster • 25%
Tech and data companies • 33%
Financial services • 33%
Healthcare and life sciences • 34%
Top 5 • 25%
Top 10 • 25%
Top 20 • 25%
Not in Top 20 • 25%
Significant increase • 33%
Moderate increase • 33%
No significant change • 34%
Up to 10% growth • 25%
11% to 50% growth • 25%
51% to 100% growth • 25%
Over 100% growth • 25%
Databricks • 25%
Snowflake • 25%
Google Cloud • 25%
Amazon Web Services • 25%
Yes • 50%
No • 50%
Llama-3-8B-SimPO • 25%
GPT-4 • 25%
BERT • 25%
T5 • 25%
Less than 100 • 25%
100-500 • 25%
500-1,000 • 25%
More than 1,000 • 25%
Less than 10% • 25%
10%-20% • 25%
20%-30% • 25%
More than 30% • 25%
Pgvectorscale significantly better • 33%
Pgvectorscale slightly better • 33%
Pinecone remains superior • 34%
Expansion into new markets • 33%
Partnership with AI companies • 33%
Additional AI-focused features • 34%
Genomics • 25%
Image Recognition • 25%
Recommendation Systems • 25%
Natural Language Processing • 25%