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

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

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGBase  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonSiteWhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Widely 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 simplicityM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Time Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitewww.cockroachlabs.comwww.gbase.cnwww.gridgain.comwww.circonus.com/solutions/time-series-database/github.com/­sitewhere/­sitewhere
Technical documentationwww.cockroachlabs.com/­docswww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-startedsitewhere1.sitewhere.io/­index.html
DeveloperCockroach LabsGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Circonus LLC.SiteWhere
Initial release20152004200720172010
Current release24.1.0, May 2024GBase 8a, GBase 8s, GBase 8cGridGain 8.5.1V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialcommercialcommercialOpen 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

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Implementation languageGoC, Java, PythonJava, C++, .NetC and C++Java
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemedynamic schemayesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyesyesnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes, wire compatible with PostgreSQLStandard 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 methodsJDBCADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIHTTP REST
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#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
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in Lua
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal 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 nodesMulti-source replication using RAFTyesyes (replicated cache)configurable replication factor, datacenter awareselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
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.noyesnono
User concepts infoAccess controlRole-based access controlyesSecurity Hooks for custom implementationsnoUsers with fine-grained authorization concept

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More resources
CockroachDBGBaseGridGainIRONdbSiteWhere
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