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DBMS > Apache Phoenix vs. BoltDB vs. Datomic vs. Microsoft Azure AI Search

System Properties Comparison Apache Phoenix vs. BoltDB vs. Datomic vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSKey-value storeRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitephoenix.apache.orggithub.com/­boltdb/­boltwww.datomic.comazure.microsoft.com/­en-us/­services/­search
Technical documentationphoenix.apache.orgdocs.datomic.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationCognitectMicrosoft
Initial release2014201320122015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.6735, June 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJava, Clojure
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBCRESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoClojure
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoTransaction Functionsno
TriggersnonoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynonoyes infousing Azure authentication

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More resources
Apache PhoenixBoltDBDatomicMicrosoft Azure AI Search
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