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DBMS > Apache Impala vs. Linter vs. mSQL vs. Prometheus

System Properties Comparison Apache Impala vs. Linter vs. mSQL vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonLinter  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopRDBMS for high security requirementsmSQL (Mini SQL) is a simple and lightweight RDBMSOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websiteimpala.apache.orglinter.ruhughestech.com.au/­products/­msqlprometheus.io
Technical documentationimpala.apache.org/­impala-docs.htmlprometheus.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Clouderarelex.ruHughes Technologies
Initial release2013199019942015
Current release4.1.0, June 20224.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercial infofree licenses can be providedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++CGo
Server operating systemsLinuxAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistencynonenone
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.nonono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardnono

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More resources
Apache ImpalaLintermSQL infoMini SQLPrometheus
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