DBMS > EsgynDB vs. Weaviate
System Properties Comparison EsgynDB vs. Weaviate
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|Editorial information provided by DB-Engines|
|Name||EsgynDB Xexclude from comparison||Weaviate Xexclude from comparison|
|Description||Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion||An AI-native realtime vector database engine that integrates scalable machine learning models.|
|Primary database model||Relational DBMS||Vector DBMS|
|Current release||1.19, May 2023|
|License Commercial or Open Source||commercial||Open Source commercial license available with Weaviate Enterprise|
|Cloud-based only Only available as a cloud service||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C++, Java||Go|
|Server operating systems||Linux|
|Data scheme||yes||yes, maps to GraphQL interface|
|Typing predefined data types such as float or date||yes||yes string, int, float, geo point, date, cross reference, fuzzy references|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no|
|Secondary indexes||yes||yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed|
|SQL Support of SQL||yes||GraphQL is used as query language|
|APIs and other access methods||ADO.NET|
|GraphQL query language|
RESTful HTTP/JSON API
|Server-side scripts Stored procedures||Java Stored Procedures||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication between multi datacenters||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||API Keys|
OpenID Connect Discovery
|More information provided by the system vendor|
|Specific characteristics||Weaviate is an open source vector database that is robust, scalable, cloud-native,...|
|Competitive advantages||Flexible deployment - Free, open source or fully-managed cloud vector database service...|
|Typical application scenarios||As a database supporting the development of generative AI and semantic search applications...|
|Key customers||All companies that have data. |
|Market metrics||As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...|
|Licensing and pricing models||Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...|
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|DB-Engines blog posts|
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Weaviate Strengthens Relationship with AWS to Make it Easier for ...
An Honest Comparison of Open Source Vector Databases
Astronomer Accelerates AI Workflows with Integrations for Top LLM ...
Airbyte Announces Certified Connectors for MongoDB, MySQL ...
Vector Database Market Solutions and Services Market Report 2023 - Global Forecast to 2028
provided by Google News
Principal Machine Learning Engineer
Staff Software Engineer, AI/ML and Data Infrastructure
Data Scientist - SME
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