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DBMS > Apache Phoenix vs. Datomic vs. Firebase Realtime Database vs. Manticore Search vs. Microsoft Azure AI Search

System Properties Comparison Apache Phoenix vs. Datomic vs. Firebase Realtime Database vs. Manticore Search vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Multi-storage database for search, including full-text search.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMSDocument storeSearch engineSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Websitephoenix.apache.orgwww.datomic.comfirebase.google.com/­products/­realtime-databasemanticoresearch.comazure.microsoft.com/­en-us/­services/­search
Technical documentationphoenix.apache.orgdocs.datomic.comfirebase.google.com/­docs/­databasemanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationCognitectGoogle infoacquired by Google 2014Manticore SoftwareMicrosoft
Initial release20142012201220172015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0.6735, June 20236.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMhostedFreeBSD
Linux
macOS
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.nononoCan index from XMLno
Secondary indexesyesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnonoSQL-like query languageno
APIs and other access methodsJDBCRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Clojure
Java
Java
JavaScript
Objective-C
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionslimited functionality with using 'rules'user defined functionsno
TriggersnoBy using transaction functionsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes 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-tenancynoyes, based on authentication and database rulesnoyes infousing Azure authentication

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More resources
Apache PhoenixDatomicFirebase Realtime DatabaseManticore SearchMicrosoft Azure AI Search
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