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DBMS > GBase vs. GridGain vs. IRONdb vs. ReductStore vs. SiteWhere

System Properties Comparison GBase vs. GridGain vs. IRONdb vs. ReductStore vs. SiteWhere

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonReductStore  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.GridGain is an in-memory computing platform, built on Apache IgniteA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.gbase.cnwww.gridgain.comwww.circonus.com/solutions/time-series-database/github.com/­reductstore
www.reduct.store
github.com/­sitewhere/­sitewhere
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedwww.reduct.store/­docssitewhere1.sitewhere.io/­index.html
DeveloperGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Circonus LLC.ReductStore LLCSiteWhere
Initial release20042007201720232010
Current releaseGBase 8a, GBase 8s, GBase 8cGridGain 8.5.1V0.10.20, January 20181.9, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBusiness Source License 1.1Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonJava, C++, .NetC and C++C++, RustJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
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 indexesyesyesnono
SQL infoSupport of SQLStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP APIHTTP REST
Supported programming languagesC#C#
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
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in Lua
Triggersyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingAutomatic, metric affinity per nodeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (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 ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
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.yesnono
User concepts infoAccess controlyesSecurity Hooks for custom implementationsnoUsers with fine-grained authorization concept

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More resources
GBaseGridGainIRONdbReductStoreSiteWhere
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