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DBMS > GridGain vs. InfluxDB vs. Microsoft Azure SQL Database vs. XTDB

System Properties Comparison GridGain vs. InfluxDB vs. Microsoft Azure SQL Database vs. XTDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonInfluxDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDBMS for storing time series, events and metricsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Graph DBMS
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
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.gridgain.comwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.xtdb.com/­docs
DeveloperGridGain Systems, Inc.MicrosoftJuxt Ltd.
Initial release2007201320102019
Current releaseGridGain 8.5.12.7.6, April 2024V121.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetGoC++Clojure
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X infothrough Homebrew
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes, extensible-data-notation format
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 indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noTransact SQLno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infoin enterprise version onlyyes, with always 3 replicas availableyes, each node contains all data
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 Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engine
User concepts infoAccess controlSecurity Hooks for custom implementationssimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainInfluxDBMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GridGainInfluxDBMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
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