DingoDB VS Elasticsearch's vector database

让我们通过对比DingoDB和Elasticsearch's vector database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Elasticsearch's vector database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。

Elasticsearch's vector database

Elasticsearch's vector database
利用 BM25 文本搜索领域的领导者 Elasticsearch 的开源矢量数据库构建矢量搜索和混合搜索。免费试用 Elasticsearch 的矢量数据库....

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

Elasticsearch's vector database

Launched 2010-7
Pricing Model Freemium
Starting Price
Tech used Google Analytics,Google Tag Manager,Optimizely,Google Fonts,Next.js,Emotion,Gzip,JSON Schema,OpenGraph,Progressive Web App,Varnish,Webpack,HSTS
Tag Vector Database,Data Analysis

DingoDB Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Elasticsearch's vector database Rank/Visit

Global Rank 29863
Country United States
Month Visit 1706536

Top 5 Countries

19.96%
8.53%
6.12%
4.67%
3.7%
United States China India Korea, Republic of United Kingdom

Traffic Sources

1.77%
0.82%
0.05%
7.31%
51.58%
38.46%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing DingoDB and Elasticsearch's vector database, 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