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DBMS > GBase vs. GridGain vs. IRONdb vs. JanusGraph

System Properties Comparison GBase vs. GridGain vs. IRONdb vs. JanusGraph

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGridGain  Xexclude from comparisonIRONdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 simplicityA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Websitewww.gbase.cnwww.gridgain.comwww.circonus.com/solutions/time-series-database/janusgraph.org
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.circonus.com/irondb/category/getting-starteddocs.janusgraph.org
DeveloperGeneral Data Technology Co., Ltd.GridGain Systems, Inc.Circonus LLC.Linux Foundation; originally developed as Titan by Aurelius
Initial release2004200720172017
Current releaseGBase 8a, GBase 8s, GBase 8cGridGain 8.5.1V0.10.20, January 20180.6.3, February 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava, C++, .NetC and C++Java
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesschema-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 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 APIJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
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
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes, in Luayes
Triggersyesyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingAutomatic, metric affinity per nodeyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)configurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphs
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 infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesSecurity Hooks for custom implementationsnoUser authentification and security via Rexster Graph Server

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More resources
GBaseGridGainIRONdbJanusGraph infosuccessor of Titan
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