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DBMS > Apache Phoenix vs. Microsoft Azure AI Search vs. SAP Adaptive Server vs. Weaviate

System Properties Comparison Apache Phoenix vs. Microsoft Azure AI Search vs. SAP Adaptive Server vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSearch-as-a-service for web and mobile app developmentThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSSearch engineRelational DBMSVector DBMS
Secondary database modelsVector DBMSSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score35.09
Rank#25  Overall
#17  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitephoenix.apache.orgazure.microsoft.com/­en-us/­services/­searchwww.sap.com/­products/­technology-platform/­sybase-ase.htmlgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationphoenix.apache.orglearn.microsoft.com/­en-us/­azure/­searchhelp.sap.com/­docs/­SAP_ASEweaviate.io/­developers/­weaviate
DeveloperApache Software FoundationMicrosoftSAP, SybaseWeaviate B.V.
Initial release2014201519872019
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V116.01.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Go
Server operating systemsLinux
Unix
Windows
hostedAIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
C
C++
Cobol
Java
Java
Perl
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava and Transact-SQLno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes infousing Azure authenticationfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache PhoenixMicrosoft Azure AI SearchSAP Adaptive Server infoformer name: Sybase ASEWeaviate
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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Apache PhoenixMicrosoft Azure AI SearchSAP Adaptive Server infoformer name: Sybase ASEWeaviate
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