DingoDB VS Vector database for Relevance AI

让我们通过对比DingoDB和Vector database for Relevance AI的优缺点,找出哪一款更适合您的需求。这份软件对比基于真实用户评测,比较了两款产品的价格、功能、支持服务、易用性和用户评价,帮助您在DingoDB和Vector database for Relevance AI中作出明智选择,选择最符合企业需求的那一款。

DingoDB

DingoDB
一个多模态数据库,提供多模态强一致性数据存储,例如关系、向量和文本,并提供基于 SQL 的多模态联合分析功能。

Vector database for Relevance AI

Vector database for Relevance AI
使用托管或自托管向量化数据,可让 LLMs 能够根据你的数据和上下文开展工作。

DingoDB

Launched 2021-09
Pricing Model Free
Starting Price
Tech used cdnjs,Three.js,Gzip,Nginx,Ubuntu,Amazon AWS S3
Tag Vector Database,Data Analysis,Data Integration

Vector database for Relevance AI

Launched 2018-04
Pricing Model Free Trial
Starting Price
Tech used Google Analytics,Google Tag Manager,HubSpot Analytics,Webflow,Amazon AWS CloudFront,Cloudflare CDN,JSDelivr,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph,HSTS
Tag Data Science,Vector Database,Data Analysis

DingoDB Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Vector database for Relevance AI Rank/Visit

Global Rank 65699
Country United States
Month Visit 619033

Top 5 Countries

15.11%
13.77%
7.34%
5.26%
5.08%
United States India United Kingdom Cambodia Australia

Traffic Sources

2.28%
0.63%
0.09%
5.34%
42.91%
48.75%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing DingoDB and Vector database for Relevance AI, you can also consider the following products

Seekdb - OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.

VectorDB - VectorDB 是一款简单、轻量级、完全本地化的端到端解决方案,用于基于嵌入的文本检索。

ArangoDB - ArangoDB:一体化多模型数据库。它集文档、图和搜索能力于一身,为高性能应用及具备丰富上下文信息的新一代人工智能提供强大支撑。

Lancedb - 探索 LanceDB 的强大功能,它是一款无服务器的向量数据库,提供灵活的搜索功能和无缝的可扩展性。告别管理开销和高成本。

CrateDB - CrateDB: High-performance distributed SQL for real-time analytics, search, & AI. Unify data & get instant insights from massive datasets.

More Alternatives