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DBMS > Apache Impala vs. Citus vs. Hypertable vs. Microsoft Access vs. SiteWhere

System Properties Comparison Apache Impala vs. Citus vs. Hypertable vs. Microsoft Access vs. SiteWhere

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonCitus  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn open source BigTable implementation based on distributed file systems such as 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.)M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMSTime Series DBMS
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
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteimpala.apache.orgwww.citusdata.comwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­sitewhere/­sitewhere
Technical documentationimpala.apache.org/­impala-docs.htmldocs.citusdata.comdeveloper.microsoft.com/­en-us/­accesssitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaHypertable Inc.MicrosoftSiteWhere
Initial release20132010200919922010
Current release4.1.0, June 20228.1, December 20180.9.8.11, March 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoAGPL, commercial license also availableOpen Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft OfficeOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++C++Java
Server operating systemsLinuxLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard, with numerous extensionsnoyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infosince Access 2010 using the ACE-engine
Triggersnoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsselectable replication factor on file system levelnoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID 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
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 infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
Apache ImpalaCitusHypertableMicrosoft AccessSiteWhere
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