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DBMS > Apache Impala vs. OpenMLDB vs. TerarkDB

System Properties Comparison Apache Impala vs. OpenMLDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonOpenMLDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAn open-source machine learning database that provides a feature platform for training and inferenceA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSTime Series DBMSKey-value store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteimpala.apache.orgopenmldb.aigithub.com/­bytedance/­terarkdb
Technical documentationimpala.apache.org/­impala-docs.htmlopenmldb.ai/­docs/­zh/­mainbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Cloudera4 Paradigm Inc.ByteDance, originally Terark
Initial release201320202016
Current release4.1.0, June 20222024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, Java, ScalaC++
Server operating systemsLinuxLinux
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
JDBC
SQLAlchemy
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBCC++
Go
Java
Python
Scala
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnone
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 Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardno

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More resources
Apache ImpalaOpenMLDBTerarkDB
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