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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Ehcache vs. MarkLogic vs. Sadas Engine

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Ehcache vs. MarkLogic vs. Sadas Engine

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonSadas Engine  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orgwww.marklogic.comwww.sadasengine.com
Technical documentationphoenix.apache.orgwww.ehcache.org/­documentationdocs.marklogic.comwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software FoundationAtos Convergence CreatorsTerracotta Inc, owned by Software AGMarkLogic Corp.SADAS s.r.l.
Initial release20142016200920012006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.10.0, March 202211.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++C++
Server operating systemsLinux
Unix
Windows
LinuxAll OS with a Java VMLinux
OS X
Windows
AIX
Linux
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnonoyes infoSQL92yes
APIs and other access methodsJDBCLDAPJCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsJavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoyes infovia XQuery or JavaScriptno
Triggersnoyesyes infoCache Event Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infoby using Terracotta ServerShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes infoby using Terracotta Serveryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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, with Range Indexesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationnoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PhoenixAtos Standard Common RepositoryEhcacheMarkLogicSadas Engine
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