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DBMS > GridGain vs. InterSystems Caché vs. IRONdb vs. Microsoft Azure Synapse Analytics

System Properties Comparison GridGain vs. InterSystems Caché vs. IRONdb vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA multi-model DBMS and application serverA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value store
Relational DBMS
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
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
Websitewww.gridgain.comwww.intersystems.com/­products/­cachewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.intersystems.comdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analytics
DeveloperGridGain Systems, Inc.InterSystemsCirconus LLC.Microsoft
Initial release2007199720172016
Current releaseGridGain 8.5.12018.1.4, May 2020V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++C++
Server operating systemsLinux
OS X
Solaris
Windows
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linuxhosted
Data schemeyesdepending on used data modelschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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.yesyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesyes, in LuaTransact SQL
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic, metric affinity per nodeSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and rolesnoyes

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More resources
GridGainInterSystems CachéIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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