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DBMS > Citus vs. Databricks vs. Graphite vs. Microsoft Access vs. SWC-DB

System Properties Comparison Citus vs. Databricks vs. Graphite vs. Microsoft Access vs. SWC-DB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMicrosoft 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.)A high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMSRelational DBMSWide column store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.citusdata.comwww.databricks.comgithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.citusdata.comdocs.databricks.comgraphite.readthedocs.iodeveloper.microsoft.com/­en-us/­access
DeveloperDatabricksChris DavisMicrosoftAlex Kashirin
Initial release20102013200619922020
Current release8.1, December 20181902 (16.0.11328.20222), March 20190.5, April 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCPythonC++C++
Server operating systemsLinuxhostedLinux
Unix
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.yes infospecific XML type available, but no XML query functionalityyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionswith Databricks SQLnoyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
ADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Thrift
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
R
Scala
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions and aggregatesnoyes infosince Access 2010 using the ACE-engineno
Triggersyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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 controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003
More information provided by the system vendor
CitusDatabricksGraphiteMicrosoft AccessSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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CitusDatabricksGraphiteMicrosoft AccessSWC-DB infoSuper Wide Column Database
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