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DBMS > Amazon DocumentDB vs. EsgynDB vs. EXASOL vs. Lovefield vs. Weaviate

System Properties Comparison Amazon DocumentDB vs. EsgynDB vs. EXASOL vs. Lovefield vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonEXASOL  Xexclude from comparisonLovefield  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Embeddable relational database for web apps written in pure JavaScriptAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­documentdbwww.esgyn.cnwww.exasol.comgoogle.github.io/­lovefieldgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.exasol.com/­resourcesgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdweaviate.io/­developers/­weaviate
DeveloperEsgynExasolGoogleWeaviate B.V.
Initial release20192015200020142019
Current release2.1.12, February 20171.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptGo
Server operating systemshostedLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyesSQL-like query language infovia JavaScript builder patternGraphQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/ADO.NetJava
Lua
Python
R
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsnono
TriggersnonoyesUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication between multi datacentersnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DocumentDBEsgynDBEXASOLLovefieldWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DocumentDBEsgynDBEXASOLLovefieldWeaviate
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