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DBMS > AgensGraph vs. Apache Phoenix vs. Faircom EDGE vs. Hazelcast vs. Percona Server for MongoDB

System Properties Comparison AgensGraph vs. Apache Phoenix vs. Faircom EDGE vs. Hazelcast vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHazelcast  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA scale-out RDBMS with evolutionary schema built on Apache HBaseFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA widely adopted in-memory data gridA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Key-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Websitebitnine.net/­agensgraphphoenix.apache.orgwww.faircom.com/­products/­faircom-edgehazelcast.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationbitnine.net/­documentationphoenix.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperBitnine Global Inc.Apache Software FoundationFairCom CorporationHazelcastPercona
Initial release20162014197920082015
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 2019V3, October 20205.3.6, November 20233.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL Version 2
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 languageCJavaANSI C, C++JavaC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
Data schemedepending on used data modelyes infolate-bound, schema-on-read capabilitiesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyes infoANSI SQL queriesSQL-like query languageno
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
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
Server-side scripts infoStored proceduresyesuser defined functionsyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor ServicesJavaScript
Triggersnonoyesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingFile partitioning infoCustomizable business rules for partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
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.noyesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controlAccess rights for users and roles

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More resources
AgensGraphApache PhoenixFaircom EDGE infoformerly c-treeEDGEHazelcastPercona Server for MongoDB
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