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DBMS > GridGain vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. searchxml vs. Warp 10

System Properties Comparison GridGain vs. Microsoft Azure Synapse Analytics vs. MonetDB vs. searchxml vs. Warp 10

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMonetDB  Xexclude from comparisonsearchxml  Xexclude from comparisonWarp 10  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 ServerA relational database management system that stores data in columnsDBMS for structured and unstructured content wrapped with an application serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSNative XML DBMS
Search engine
Time Series DBMS
Secondary database modelsDocument store
Spatial 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
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.gridgain.comazure.microsoft.com/­services/­synapse-analyticswww.monetdb.orgwww.searchxml.net/­category/­productswww.warp10.io
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­azure/­synapse-analyticswww.monetdb.org/­Documentationwww.searchxml.net/­support/­handoutswww.warp10.io/­content/­02_Getting_started
DeveloperGridGain Systems, Inc.MicrosoftMonetDB BVinformationpartners gmbhSenX
Initial release20072016200420152015
Current releaseGridGain 8.5.1Dec2023 (11.49), December 20231.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla Public License 2.0commercialOpen Source infoApache License 2.0
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++CC++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
WindowsLinux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnoyesno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infoSQL 2003 with some extensionsnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLyes, in SQL, C, Ryes infoon the application serveryes infoWarpScript
Triggersyes (cache interceptors and events)noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding via remote tablesnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesnone infoSource-replica replication available in experimental statusyes infosychronisation to multiple collectionsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDmultiple readers, single writerno
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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyesfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application servicesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GridGainMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMonetDBsearchxmlWarp 10
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