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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Firebird vs. Percona Server for MongoDB vs. Spark SQL

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Firebird vs. Percona Server for MongoDB vs. Spark SQL

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebird  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSpark SQL  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 networksFirebird is an open source RDBMS forked from Borland's InterBaseA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.firebirdsql.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbspark.apache.org/­sql
Technical documentationphoenix.apache.orgwww.firebirdsql.org/­en/­reference-manualsdocs.percona.com/­percona-distribution-for-mongodbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationAtos Convergence CreatorsFirebird FoundationPerconaApache Software Foundation
Initial release201420162000 infoAs fork of Borland's InterBase20152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917035.0.0, January 20243.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoInitial Developer's Public LicenseOpen Source infoGPL Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++Scala
Server operating systemsLinux
Unix
Windows
LinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesschema-freeyes
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.noyesnono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesnoyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBCLDAPADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
proprietary protocol using JSONJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnoPSQLJavaScriptno
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engineno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationUsers with fine-grained authorization conceptAccess rights for users and rolesno

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More resources
Apache PhoenixAtos Standard Common RepositoryFirebirdPercona Server for MongoDBSpark SQL
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