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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. HBase vs. Manticore Search

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. HBase vs. Manticore Search

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHBase  Xexclude from comparisonManticore Search  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 networksWide-column store based on Apache Hadoop and on concepts of BigTableMulti-storage database for search, including full-text search.
Primary database modelRelational DBMSDocument store
Key-value store
Wide column storeSearch engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.29
Rank#302  Overall
#21  Search engines
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhbase.apache.orgmanticoresearch.com
Technical documentationphoenix.apache.orghbase.apache.org/­book.htmlmanual.manticoresearch.com
DeveloperApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by PowersetManticore Software
Initial release2014201620082017
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917032.3.4, January 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoGPL version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinux
Unix
Windows
LinuxLinux
Unix
Windows infousing Cygwin
FreeBSD
Linux
macOS
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsschema-free, schema definition possibleFixed schema
Typing infopredefined data types such as float or dateyesoptionaloptions to bring your own types, AVROInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean
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.noyesnoCan index from XML
Secondary indexesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesnonoSQL-like query language
APIs and other access methodsJDBCLDAPJava API
RESTful HTTP API
Thrift
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC
C#
C++
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoCoprocessors in Javauser defined functions
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-source replication
Source-replica replication
Synchronous replication based on Galera library
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)yes infoisolated transactions for atomic changes and binary logging for safe writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Manticore index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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Apache PhoenixAtos Standard Common RepositoryHBaseManticore Search
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