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DBMS > Apache Impala vs. Hyprcubd vs. Ingres vs. RethinkDB vs. SWC-DB

System Properties Comparison Apache Impala vs. Hyprcubd vs. Ingres vs. RethinkDB vs. SWC-DB

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonRethinkDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopServerless Time Series DBMSWell established RDBMSDBMS for the Web with a mechanism to push updated query results to applications in realtime.A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeWide column store
Secondary database modelsDocument storeSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websiteimpala.apache.orghyprcubd.com (offline)www.actian.com/­databases/­ingresrethinkdb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationimpala.apache.org/­impala-docs.htmldocs.actian.com/­ingresrethinkdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHyprcubd, Inc.Actian CorporationThe Linux Foundation infosince July 2017Alex Kashirin
Initial release20131974 infooriginally developed at University Berkely in early 1970s20092020
Current release4.1.0, June 202211.2, May 20222.4.1, August 20200.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoCC++C++
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
OS X
Windows
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes infostring, binary, float, bool, date, geometry
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 infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Proprietary protocol
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyesno
TriggersnonoyesClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes infoMVCC basedyes
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.nonononono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberostoken accessfine grained access rights according to SQL-standardyes infousers and table-level permissions

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More resources
Apache ImpalaHyprcubdIngresRethinkDBSWC-DB infoSuper Wide Column Database
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