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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. EsgynDB vs. SpaceTime vs. Weaviate

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. EsgynDB vs. SpaceTime vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpaceTime is a spatio-temporal DBMS with a focus on performance.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSRelational DBMSSpatial DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.esgyn.cnwww.mireo.com/­spacetimegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationEsgynMireoWeaviate B.V.
Initial release20192014201520202019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen 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 languageJavaC++, JavaC++Go
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesyesyes, 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 indexesyesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyesA subset of ANSI SQL is implementedGraphQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCADO.NET
JDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functionsJava Stored Proceduresnono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingFixed-grid hypercubesSharding
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
Source-replica replication
Multi-source replication between multi datacentersReal-time block device replication (DRBD)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyfine grained access rights according to SQL-standardyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DocumentDBApache PhoenixEsgynDBSpaceTimeWeaviate
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 DocumentDBApache PhoenixEsgynDBSpaceTimeWeaviate
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