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DBMS > Citus vs. Geode vs. Graphite vs. HEAVY.AI vs. Microsoft Access

System Properties Comparison Citus vs. Geode vs. Graphite vs. HEAVY.AI vs. Microsoft Access

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeode  Xexclude from comparisonGraphite  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosoft 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.)
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.citusdata.comgeode.apache.orggithub.com/­graphite-project/­graphite-webgithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.citusdata.comgeode.apache.org/­docsgraphite.readthedocs.iodocs.heavy.aideveloper.microsoft.com/­en-us/­access
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Chris DavisHEAVY.AI, Inc.Microsoft
Initial release20102002200620161992
Current release8.1, December 20181.1, February 20175.10, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaPythonC++ and CUDAC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Unix
LinuxWindows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 functionalitynonono
Secondary indexesyesnononoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query language (OQL)noyesyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java Client API
Memcached protocol
RESTful HTTP API
HTTP API
Sockets
JDBC
ODBC
Thrift
Vega
ADO.NET
DAO
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsnonoyes infosince Access 2010 using the ACE-engine
Triggersyesyes infoCache Event Listenersnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definablenofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
CitusGeodeGraphiteHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Access
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