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DBMS > Apache Phoenix vs. Ehcache vs. HBase vs. Microsoft SQL Server

System Properties Comparison Apache Phoenix vs. Ehcache vs. HBase vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonEhcache  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA widely adopted Java cache with tiered storage optionsWide-column store based on Apache Hadoop and on concepts of BigTableMicrosofts flagship relational DBMS
Primary database modelRelational DBMSKey-value storeWide column storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitephoenix.apache.orgwww.ehcache.orghbase.apache.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationhbase.apache.org/­book.htmllearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperApache Software FoundationTerracotta Inc, owned by Software AGApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release2014200920081989
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.10.0, March 20222.3.4, January 2021SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageJavaJavaJavaC++
Server operating systemsLinux
Unix
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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.nononoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsJDBCJCacheJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsnoyes infoCoprocessors in JavaTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta ServerShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoby using Terracotta ServerMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
Apache PhoenixEhcacheHBaseMicrosoft SQL Server
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