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DBMS > GBase vs. HBase vs. Ignite vs. VictoriaMetrics

System Properties Comparison GBase vs. HBase vs. Ignite vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHBase  Xexclude from comparisonIgnite  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Wide-column store based on Apache Hadoop and on concepts of BigTableApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSWide column storeKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gbase.cnhbase.apache.orgignite.apache.orgvictoriametrics.com
Technical documentationhbase.apache.org/­book.htmlapacheignite.readme.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGeneral Data Technology Co., Ltd.Apache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationVictoriaMetrics
Initial release2004200820152018
Current releaseGBase 8a, GBase 8s, GBase 8c2.3.4, January 2021Apache Ignite 2.6v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache 2.0Open Source infoApache Version 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, PythonJavaC++, Java, .NetGo
Server operating systemsLinuxLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes
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.yesnoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLStandard with numerous extensionsnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in Javayes (compute grid and cache interceptors can be used instead)no
Triggersyesyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes (replicated cache)Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDno
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.yesyesno
User concepts infoAccess controlyesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACSecurity Hooks for custom implementations

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More resources
GBaseHBaseIgniteVictoriaMetrics
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