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DBMS > Apache Impala vs. Manticore Search vs. Microsoft Access vs. Microsoft SQL Server vs. SQLite

System Properties Comparison Apache Impala vs. Manticore Search vs. Microsoft Access vs. Microsoft SQL Server vs. SQLite

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMulti-storage database for search, including full-text search.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Microsofts flagship relational DBMSWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score111.41
Rank#10  Overall
#7  Relational DBMS
Websiteimpala.apache.orgmanticoresearch.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.microsoft.com/­en-us/­sql-serverwww.sqlite.org
Technical documentationimpala.apache.org/­impala-docs.htmlmanual.manticoresearch.comdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-US/­sql/­sql-serverwww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaManticore SoftwareMicrosoftMicrosoftDwayne Richard Hipp
Initial release20132017199219892000
Current release4.1.0, June 20226.0, February 20231902 (16.0.11328.20222), March 2019SQL Server 2022, November 20223.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2commercial infoBundled with Microsoft Officecommercial inforestricted free version is availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++C++C
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Windows
server-less
Data schemeyesFixed schemayesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes infonot rigid because of 'dynamic typing' concept.
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infobut not compliant to any SQL standardyesyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesAll languages supporting JDBC/ODBCElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes infosince Access 2010 using the ACE-engineTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednonetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSynchronous replication based on Galera librarynoneyes, but depending on the SQL-Server Editionnone
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 Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infobut no files for transaction loggingyesyes
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 Kerberosnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardno

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More resources
Apache ImpalaManticore SearchMicrosoft AccessMicrosoft SQL ServerSQLite
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