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DBMS > Citus vs. Graphite vs. Microsoft Access vs. RavenDB vs. Titan

System Properties Comparison Citus vs. Graphite vs. Microsoft Access vs. RavenDB vs. Titan

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRavenDB  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLData 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.)Open Source Operational and Transactional Enterprise NoSQL Document DatabaseTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument storeGraph DBMS
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.citusdata.comgithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­microsoft-365/­accessravendb.netgithub.com/­thinkaurelius/­titan
Technical documentationdocs.citusdata.comgraphite.readthedocs.iodeveloper.microsoft.com/­en-us/­accessravendb.net/­docsgithub.com/­thinkaurelius/­titan/­wiki
DeveloperChris DavisMicrosoftHibernating RhinosAurelius, owned by DataStax
Initial release20102006199220102012
Current release8.1, December 20181902 (16.0.11328.20222), March 20195.4, July 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache license, version 2.0
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 languageCPythonC++C#Java
Server operating systemsLinuxLinux
Unix
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesnoyes
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 functionalityno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyes infobut not compliant to any SQL standardSQL-like query language (RQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Sockets
ADO.NET
DAO
ODBC
OLE DB
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infosince Access 2010 using the ACE-engineyesyes
Triggersyesnoyes infosince Access 2010 using the ACE-engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnonenoneMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003Authorization levels configured per client per databaseUser authentification and security via Rexster Graph Server

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More resources
CitusGraphiteMicrosoft AccessRavenDBTitan
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