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DBMS > FeatureBase vs. GBase vs. GridGain vs. TigerGraph

System Properties Comparison FeatureBase vs. GBase vs. GridGain vs. TigerGraph

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonGBase  Xexclude from comparisonGridGain  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.featurebase.comwww.gbase.cnwww.gridgain.comwww.tigergraph.com
Technical documentationdocs.featurebase.comwww.gridgain.com/­docs/­index.htmldocs.tigergraph.com
DeveloperMolecula and Pilosa Open Source ContributorsGeneral Data Technology Co., Ltd.GridGain Systems, Inc.
Initial release2017200420072017
Current release2022, May 2022GBase 8a, GBase 8s, GBase 8cGridGain 8.5.1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonJava, C++, .NetC++
Server operating systemsLinux
macOS
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL queriesStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLSQL-like query language (GSQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C#C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesSecurity Hooks for custom implementationsRole-based access control

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More resources
FeatureBaseGBaseGridGainTigerGraph
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