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DBMS > GridGain vs. IRONdb vs. SiteWhere

System Properties Comparison GridGain vs. IRONdb vs. SiteWhere

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#126  Overall
#25  Key-value stores
#62  Relational DBMS
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Score0.00
Rank#363  Overall
#34  Time Series DBMS
Websitewww.gridgain.comwww.circonus.com/­solutions/­time-series-databasesitewhere.io
Technical documentationwww.gridgain.com/­docs/­latestdocs.circonus.com/­irondbsitewhere.io/­docs/­2.1.0
DeveloperGridGain Systems, Inc.Circonus LLC.SiteWhere
Initial release200720172010
Current releaseGridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++Java
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes 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.yesnono
Secondary indexesyesnono
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes, in Lua
Triggersyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)configurable replication factor, datacenter awareselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoUsers with fine-grained authorization concept

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More resources
GridGainIRONdbSiteWhere
Recent citations in the news

Find Out Total Adressable Market Valuation Of In-Memory Computing Industry? – Indian Defence News
25 June 2022, Indian Defence News

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
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GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

GridGain Launches Service to Recognize Non-Code Contributors to the Apache Ignite Community
9 December 2021, GlobeNewswire

HTAP-Enabling In-Memory Computing Technologies Market worth $7.3 billion by 2027 -Microsoft, IBM, MongoDB, SAP, Aerospike, DataStax, GridGain – Indian Defence News
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