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DBMS > Citus vs. Elasticsearch vs. Graphite vs. Sadas Engine vs. VelocityDB

System Properties Comparison Citus vs. Elasticsearch vs. Graphite vs. Sadas Engine vs. VelocityDB

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraphite  Xexclude from comparisonSadas Engine  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSSearch engineTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score135.35
Rank#7  Overall
#1  Search engines
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.citusdata.comwww.elastic.co/­elasticsearchgithub.com/­graphite-project/­graphite-webwww.sadasengine.comvelocitydb.com
Technical documentationdocs.citusdata.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgraphite.readthedocs.iowww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvelocitydb.com/­UserGuide
DeveloperElasticChris DavisSADAS s.r.l.VelocityDB Inc
Initial release20102010200620062011
Current release8.1, December 20188.6, January 20238.07.x
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoElastic LicenseOpen Source infoApache 2.0commercial infofree trial version availablecommercial
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 languageCJavaPythonC++C#
Server operating systemsLinuxAll OS with a Java VMLinux
Unix
AIX
Linux
Windows
Any that supports .NET
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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 functionalitynononono
Secondary indexesyesyes infoAll search fields are automatically indexednoyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languagenoyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP/JSON API
HTTP API
Sockets
JDBC
ODBC
Proprietary protocol
.Net
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScript (Node.js)
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnonono
Triggersyesyes infoby using the 'percolation' featurenonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningSharding
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 methodsnoES-Hadoop Connectornonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standardBased on Windows Authentication

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More resources
CitusElasticsearchGraphiteSadas EngineVelocityDB
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