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DBMS > Apache Impala vs. Apache IoTDB vs. NuoDB vs. openGauss vs. ToroDB

System Properties Comparison Apache Impala vs. Apache IoTDB vs. NuoDB vs. openGauss vs. ToroDB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGauss  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAnalytic DBMS for HadoopAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument 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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websiteimpala.apache.orgiotdb.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasegitee.com/­opengauss
opengauss.org
github.com/­torodb/­server
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldoc.nuodb.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGauss community8Kdata
Initial release20132018201320192016
Current release4.1.0, June 20221.1.0, April 20233.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infolimited edition freeOpen SourceOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++C, C++, JavaJava
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxAll OS with a Java 7 VM
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infostring, integer, double, boolean, date, object_id
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesANSI SQL 2011
APIs and other access methodsJDBC
ODBC
JDBC
Native API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesJava, SQLyes
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)data is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infoManaged transparently by NuoDBSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyesyes infoTemporary tableno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
Apache ImpalaApache IoTDBNuoDBopenGaussToroDB
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