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DBMS > Apache Impala vs. GBase vs. Ignite vs. openGauss vs. Tkrzw

System Properties Comparison Apache Impala vs. GBase vs. Ignite vs. openGauss vs. Tkrzw

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGBase  Xexclude from comparisonIgnite  Xexclude from comparisonopenGauss  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteimpala.apache.orgwww.gbase.cnignite.apache.orggitee.com/­opengauss
opengauss.org
dbmx.net/­tkrzw
Technical documentationimpala.apache.org/­impala-docs.htmlapacheignite.readme.io/­docsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaGeneral Data Technology Co., Ltd.Apache Software FoundationHuawei and openGauss communityMikio Hirabayashi
Initial release20132004201520192020
Current release4.1.0, June 2022GBase 8a, GBase 8s, GBase 8cApache Ignite 2.63.0, March 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, Java, PythonC++, Java, .NetC, C++, JavaC++
Server operating systemsLinuxLinuxLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsStandard with numerous extensionsANSI-99 for query and DML statements, subset of DDLANSI SQL 2011no
APIs and other access methodsJDBC
ODBC
ADO.NET
C API
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes (compute grid and cache interceptors can be used instead)yesno
Triggersnoyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardinghorizontal partitioning (by range, list and hash)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardno

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More resources
Apache ImpalaGBaseIgniteopenGaussTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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