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DBMS > Apache Phoenix vs. BigObject vs. Ehcache vs. Microsoft Azure AI Search

System Properties Comparison Apache Phoenix vs. BigObject vs. Ehcache vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigObject  Xexclude from comparisonEhcache  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for real-time computations and queriesA widely adopted Java cache with tiered storage optionsSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeSearch 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
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitephoenix.apache.orgbigobject.iowww.ehcache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationphoenix.apache.orgdocs.bigobject.iowww.ehcache.org/­documentationlearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationBigObject, Inc.Terracotta Inc, owned by Software AGMicrosoft
Initial release2014201520092015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 2022V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsLinux
Unix
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnono
APIs and other access methodsJDBCfluentd
ODBC
RESTful HTTP API
JCacheRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsLuanono
Triggersnonoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoby using Terracotta ServerSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoby using Terracotta Serveryes 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 ConsistencynoneTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infosupports JTA and can work as an XA resourceno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
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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Apache PhoenixBigObjectEhcacheMicrosoft Azure AI Search
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