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DBMS > Amazon DocumentDB vs. HBase vs. IBM Cloudant vs. Microsoft Azure Cosmos DB vs. Weaviate

System Properties Comparison Amazon DocumentDB vs. HBase vs. IBM Cloudant vs. Microsoft Azure Cosmos DB vs. Weaviate

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHBase  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWide-column store based on Apache Hadoop and on concepts of BigTableDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeWide column storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Vector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­documentdbhbase.apache.orgwww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­cosmos-dbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationaws.amazon.com/­documentdb/­resourceshbase.apache.org/­book.htmlcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­azure/­cosmos-dbweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftWeaviate B.V.
Initial release20192008201020142019
Current release2.3.4, January 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangGo
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
hostedhosted
Data schemeschema-freeschema-free, schema definition possibleschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infoJSON typesyes 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.nononono
Secondary indexesyesnoyesyes infoAll properties auto-indexed by defaultyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnononoSQL-like query languageGraphQL is used as query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
Thrift
RESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoCoprocessors in JavaView functions (Map-Reduce) in JavaScriptJavaScriptno
TriggersnoyesyesJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infoImplicit feature of the cloud serviceSharding
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
Source-replica replication
yes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsSingle row ACID (across millions of columns)no infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Amazon DocumentDBHBaseIBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBWeaviate
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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More resources
Amazon DocumentDBHBaseIBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBWeaviate
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