SvectorDB Pricing Overview

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SvectorDB has not provided pricing information for this product or service. This is common practice for software sellers and service providers. Contact SvectorDB to obtain current pricing.

Top-Rated Alternatives

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SvectorDB Alternatives Pricing

The following is a quick overview of editions offered by other Vector Database Software

Elasticsearch Standard	$79per month	1 engine included<br/> 5k documents included<br/> 50k queries/mo included Crawled every 3 days Core Search Features Unlimited users Basic email support
CrateDB OSS	Free	Free and open source. Built for real world experimentation and development. https://cratedb.com/pricing/oss
Zilliz Starter	Free	The simplest way to experience a fully-managed vector database. Up to 1 million vectors Up to 2 free collections No credit card required Shared environment Available on GCP Single availability zone Single project Community support Show More

Various alternatives pricing & plans

Pricing information for the above various SvectorDB alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

SvectorDB Pricing Reviews

(1)

John Cyrus I.

Design Architect

Architecture & Planning

Mid-Market (51-1000 emp.)

8/4/2024

"Super Reliable and Cost Effective Database already in my hands!"

4.5/5

What do you like best about SvectorDB?

SvectorDB really excels as a serverless vector database. Its standout features include high-speed vector search, effortless scalability to handle growing datasets, and a user-friendly interface. With no infrastructure management required, developers can focus on building applications while SvectorDB efficiently stores and retrieves vector data, making it ideal for recommendation systems, image search, and much more. Review collected by and hosted on G2.com.

What do you dislike about SvectorDB?

I think it might have potential limitations in terms of granular control over hardware resources and cost optimization for specific, highly optimized workloads compared to self-managed databases. Additionally, reliance on a third-party service could introduce potential vendor lock-in concerns. aside from that, nothing else. Review collected by and hosted on G2.com.

What problems is SvectorDB solving and how is that benefiting you?

In some of my problems, SvectorDB addresses the challenges of storing and searching large datasets of vectors, which are crucial for applications like recommendation systems, image search, and anomaly detection. By providing a serverless, high-performance platform, SvectorDB simplifies development, reduces infrastructure management, and accelerates time-to-market for these applications. Review collected by and hosted on G2.com.