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DBMS > Amazon CloudSearch vs. Apache Phoenix vs. Realm vs. Weaviate vs. Yanza

System Properties Comparison Amazon CloudSearch vs. Apache Phoenix vs. Realm vs. Weaviate vs. Yanza

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Phoenix  Xexclude from comparisonRealm  Xexclude from comparisonWeaviate  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataAn AI-native realtime vector database engine that integrates scalable machine learning models.Time Series DBMS for IoT Applications
Primary database modelSearch engineRelational DBMSDocument storeVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteaws.amazon.com/­cloudsearchphoenix.apache.orgrealm.iogithub.com/­weaviate/­weaviate
weaviate.io
yanza.com
Technical documentationdocs.aws.amazon.com/­cloudsearchphoenix.apache.orgrealm.io/­docsweaviate.io/­developers/­weaviate
DeveloperAmazonApache Software FoundationRealm, acquired by MongoDB in May 2019Weaviate B.V.Yanza
Initial release20122014201420192015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infocommercial license available with Weaviate Enterprisecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemshostedLinux
Unix
Windows
Android
Backend: server-less
iOS
Windows
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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 indexesyes infoall search fields are automatically indexedyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLnoyesnoGraphQL is used as query languageno
APIs and other access methodsHTTP APIJDBCGraphQL query language
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
JavaScript / TypeScript
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsno inforuns within the applications so server-side scripts are unnecessarynono
Triggersnonoyes infoChange Listenersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
noneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoIn-Memory realmyes
User concepts infoAccess controlauthentication via encrypted signaturesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesAPI Keys
OpenID Connect Discovery
no
More information provided by the system vendor
Amazon CloudSearchApache PhoenixRealmWeaviateYanza
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 CloudSearchApache PhoenixRealmWeaviateYanza
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