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DBMS > AgensGraph vs. EDB Postgres vs. Kdb vs. LeanXcale

System Properties Comparison AgensGraph vs. EDB Postgres vs. Kdb vs. LeanXcale

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEDB Postgres  Xexclude from comparisonKdb  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.High performance Time Series DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSTime Series DBMS
Vector DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Websitebitnine.net/­agensgraphwww.enterprisedb.comkx.comwww.leanxcale.com
Technical documentationbitnine.net/­documentationwww.enterprisedb.com/­docscode.kx.com
DeveloperBitnine Global Inc.EnterpriseDBKx Systems, a division of First Derivatives plcLeanXcale
Initial release201620052000 infokdb was released 2000, kdb+ in 20032015
Current release2.1, December 201814, December 20213.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoBSD for PostgreSQL-componentscommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCCq
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 functionality.yes
Secondary indexesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesyes infostandard with numerous extensionsSQL-like query language (q)yes infothrough Apache Derby
APIs and other access methodsCypher Query Language
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
Java
Scala
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersnoyesyes infowith views
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioning infoby hash, list or rangehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
AgensGraphEDB PostgresKdbLeanXcale
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
AgensGraphEDB PostgresKdbLeanXcale
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