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DBMS > Apache Impala vs. Infobright vs. Postgres-XL vs. Rockset vs. StarRocks

System Properties Comparison Apache Impala vs. Infobright vs. Postgres-XL vs. Rockset vs. StarRocks

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfobright  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRockset  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA scalable, reliable search and analytics service in the cloud, built on RocksDBAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteimpala.apache.orgignitetech.com/­softwarelibrary/­infobrightdbwww.postgres-xl.orgrockset.comwww.starrocks.io
Technical documentationimpala.apache.org/­impala-docs.htmlwww.postgres-xl.org/­documentationdocs.rockset.comdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaIgnite Technologies Inc.; formerly InfoBright Inc.RocksetThe Linux Foundation infosince Feb 2023
Initial release201320052014 infosince 2012, originally named StormDB20192020
Current release4.1.0, June 202210 R1, October 20182.5.3, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoMozilla public licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CCC++C++, Java
Server operating systemsLinuxLinux
Windows
Linux
macOS
hostedLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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.nonoyes infoXML type, but no XML query functionalityno infoingestion from XML files supportedno
Secondary indexesyesno infoKnowledge Grid Technology used insteadyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infodistributed, parallel query executionRead-only SQL queries, including JOINsyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP RESTJDBC
MySQL protocol
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsnouser defined functions
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningAutomatic shardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes
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 ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine grained access rights according to SQL-standardAccess rights for users and organizations can be defined via Rockset consoleRole based access control and fine grained access rights

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More resources
Apache ImpalaInfobrightPostgres-XLRocksetStarRocks
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