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DBMS > Apache Impala vs. Atos Standard Common Repository vs. Dolt vs. Microsoft Access vs. Sphinx

System Properties Comparison Apache Impala vs. Atos Standard Common Repository vs. Dolt vs. Microsoft Access vs. Sphinx

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDolt  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSphinx  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA MySQL compatible DBMS with Git-like versioning of data and schemaMicrosoft 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.)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSSearch engine
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­dolthub/­dolt
www.dolthub.com
www.microsoft.com/­en-us/­microsoft-365/­accesssphinxsearch.com
Technical documentationimpala.apache.org/­impala-docs.htmldocs.dolthub.comdeveloper.microsoft.com/­en-us/­accesssphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsDoltHub IncMicrosoftSphinx Technologies Inc.
Initial release20132016201819922001
Current release4.1.0, June 202217031902 (16.0.11328.20222), March 20193.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoC++C++
Server operating systemsLinuxLinuxLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesno
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.noyesno
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyes infobut not compliant to any SQL standardSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
LDAPCLI Client
HTTP REST
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infocurrently in alpha releaseyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionnonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.nonenone
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 Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationOnly one user is configurable, and must be specified in the config file at startupno infoa simple user-level security was built in till version Access 2003no

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More resources
Apache ImpalaAtos Standard Common RepositoryDoltMicrosoft AccessSphinx
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