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DBMS > Apache Impala vs. openGauss vs. OpenMLDB

System Properties Comparison Apache Impala vs. openGauss vs. OpenMLDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonopenGauss  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Websiteimpala.apache.orggitee.com/­opengauss
opengauss.org
openmldb.ai
Technical documentationimpala.apache.org/­impala-docs.htmldocs.opengauss.org/­en
gitee.com/­opengauss/­docs
openmldb.ai/­docs/­zh/­main
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHuawei and openGauss community4 Paradigm Inc.
Initial release201320192020
Current release4.1.0, June 20223.0, March 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++, JavaC++, Java, Scala
Server operating systemsLinuxLinuxLinux
Data schemeyesyesFixed schema
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL 2011yes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
SQLAlchemy
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Java
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache ImpalaopenGaussOpenMLDB
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