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DBMS > Apache Impala vs. Microsoft Access vs. Warp 10

System Properties Comparison Apache Impala vs. Microsoft Access vs. Warp 10

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopMicrosoft 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.)TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.06
Rank#39  Overall
#24  Relational DBMS
Score107.93
Rank#11  Overall
#8  Relational DBMS
Score0.13
Rank#342  Overall
#32  Time Series DBMS
Websiteimpala.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.warp10.io
Technical documentationimpala.apache.org/­impala-docs.htmldeveloper.microsoft.com/­en-us/­accesswww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaMicrosoftSenX
Initial release201319922015
Current release4.1.0, June 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineyes infoWarpScript
Triggersnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes
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 Kerberosno infoa simple user-level security was built in till version Access 2003Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache ImpalaMicrosoft AccessWarp 10
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