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DBMS > Apache Phoenix vs. BoltDB vs. Citus vs. Hazelcast vs. Linter

System Properties Comparison Apache Phoenix vs. BoltDB vs. Citus vs. Hazelcast vs. Linter

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonCitus  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument storeDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.80
Rank#215  Overall
#31  Key-value stores
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Websitephoenix.apache.orggithub.com/­boltdb/­boltwww.citusdata.comhazelcast.comlinter.ru
Technical documentationphoenix.apache.orgdocs.citusdata.comhazelcast.org/­imdg/­docs
DeveloperApache Software FoundationHazelcastrelex.ru
Initial release20142013201020081990
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20198.1, December 20185.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCJavaC and C++
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyes infospecific XML type available, but no XML query functionalityyes infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoyes infostandard, with numerous extensionsSQL-like query languageyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication infoother methods possible by using 3rd party extensionsyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standard

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Apache PhoenixBoltDBCitusHazelcastLinter
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