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DBMS > Dgraph vs. EsgynDB vs. Kdb vs. LeanXcale vs. PlanetScale

System Properties Comparison Dgraph vs. EsgynDB vs. Kdb vs. LeanXcale vs. PlanetScale

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonKdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance Time Series DBMSA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelGraph DBMSRelational DBMSTime Series DBMS
Vector DBMS
Key-value store
Relational DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitedgraph.iowww.esgyn.cnkx.comwww.leanxcale.complanetscale.com
Technical documentationdgraph.io/­docscode.kx.complanetscale.com/­docs
DeveloperDgraph Labs, Inc.EsgynKx Systems, a division of First Derivatives plcLeanXcalePlanetScale
Initial release201620152000 infokdb was released 2000, kdb+ in 200320152020
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaqGo
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Docker
Linux
macOS
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyesSQL-like query language (q)yes infothrough Apache Derbyyes infowith proprietary extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyes infoproprietary syntax
Triggersnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.noyesyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardrights management via user accountsUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DgraphEsgynDBKdbLeanXcalePlanetScale
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
DgraphEsgynDBKdbLeanXcalePlanetScale
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