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DBMS > AgensGraph vs. Apache Phoenix vs. EsgynDB vs. InterSystems IRIS vs. MongoDB

System Properties Comparison AgensGraph vs. Apache Phoenix vs. EsgynDB vs. InterSystems IRIS vs. MongoDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMongoDB  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 HBaseEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Websitebitnine.net/­agensgraphphoenix.apache.orgwww.esgyn.cnwww.intersystems.com/­products/­intersystems-iriswww.mongodb.com
Technical documentationbitnine.net/­documentationphoenix.apache.orgdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.mongodb.com/­docs/­manual
DeveloperBitnine Global Inc.Apache Software FoundationEsgynInterSystemsMongoDB, Inc
Initial release20162014201520182009
Current release2.1, December 20185.0-HBase2, July 2018 and 4.15-HBase1, December 20192023.3, June 20236.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2.0commercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++, JavaC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyes infolate-bound, schema-on-read capabilitiesyesdepending on used data modelschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.nononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesyesyesyesRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsCypher Query Language
JDBC
JDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
JavaScript (Node.js)
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresyesuser defined functionsJava Stored ProceduresyesJavaScript
Triggersnononoyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingShardingShardingSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication between multi datacentersSource-replica replicationMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityyesnoyesyesno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
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 access rights according to SQL-standardyesAccess rights for users and roles
More information provided by the system vendor
AgensGraphApache PhoenixEsgynDBInterSystems IRISMongoDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
AgensGraphApache PhoenixEsgynDBInterSystems IRISMongoDB
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