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DBMS > Apache Impala vs. Apache IoTDB vs. Dolt vs. HyperSQL

System Properties Comparison Apache Impala vs. Apache IoTDB vs. Dolt vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonApache IoTDB  Xexclude from comparisonDolt  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
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 FlinkA MySQL compatible DBMS with Git-like versioning of data and schemaMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
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
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websiteimpala.apache.orgiotdb.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
hsqldb.org
Technical documentationimpala.apache.org/­impala-docs.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.dolthub.comhsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaApache Software FoundationDoltHub Inc
Initial release2013201820182001
Current release4.1.0, June 20221.1.0, April 20232.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGoJava
Server operating systemsLinuxAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesyes
APIs and other access methodsJDBC
ODBC
JDBC
Native API
CLI Client
HTTP REST
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
Java
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesyes infocurrently in alpha releaseJava, SQL
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenone
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 replicasA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.none
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 Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosyesOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standard

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More resources
Apache ImpalaApache IoTDBDoltHyperSQL infoalso known as HSQLDB
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