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DBMS > Apache Impala vs. HarperDB vs. OpenQM vs. SWC-DB vs. Transbase

System Properties Comparison Apache Impala vs. HarperDB vs. OpenQM vs. SWC-DB vs. Transbase

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.QpenQM is a high-performance, self-tuning, multi-value DBMSA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeMultivalue DBMSWide column storeRelational DBMS
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteimpala.apache.orgwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.html
Technical documentationimpala.apache.org/­impala-docs.htmldocs.harperdb.io/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHarperDBRocket Software, originally Martin PhillipsAlex KashirinTransaction Software GmbH
Initial release20132017199320201987
Current release4.1.0, June 20223.1, August 20213.4-120.5, April 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree community edition availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Node.jsC++C and C++
Server operating systemsLinuxLinux
OS X
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesdynamic schemayes infowith some exceptionsschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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.nonoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like data manipulation statementsnoSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
Basic
C
Java
Objective C
PHP
Python
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceCustom Functions infosince release 3.1yesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusteryesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infothe nodes on which a table resides can be definedyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
Apache ImpalaHarperDBOpenQM infoalso called QMSWC-DB infoSuper Wide Column DatabaseTransbase
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