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DBMS > GridGain vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. Percona Server for MongoDB vs. Quasardb

System Properties Comparison GridGain vs. Microsoft Azure Synapse Analytics vs. OrientDB vs. Percona Server for MongoDB vs. Quasardb

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOrientDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMulti-model DBMS (Document, Graph, Key/Value)A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Distributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.60
Rank#246  Overall
#39  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­synapse-analyticsorientdb.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodbquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.orientdb.com/­docs/­last/­index.htmldocs.percona.com/­percona-distribution-for-mongodbdoc.quasar.ai/­master
DeveloperGridGain Systems, Inc.MicrosoftOrientDB LTD; CallidusCloud; SAPPerconaquasardb
Initial release20072016201020152009
Current releaseGridGain 8.5.13.2.29, March 20243.4.10-2.10, November 20173.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoGPL Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++JavaC++C++
Server operating systemsLinux
OS X
Solaris
Windows
hostedAll OS with a Java JDK (>= JDK 6)LinuxBSD
Linux
OS X
Windows
Data schemeyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.yesnononono
Secondary indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query language, no joinsnoSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
proprietary protocol using JSONHTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
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
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLJava, JavascriptJavaScriptno
Triggersyes (cache interceptors and events)noHooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesMulti-source replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queriesyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engineyes infoTransient mode
User concepts infoAccess controlSecurity Hooks for custom implementationsyesAccess rights for users and roles; record level security configurableAccess rights for users and rolesCryptographically strong user authentication and audit trail

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More resources
GridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOrientDBPercona Server for MongoDBQuasardb
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