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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Kdb vs. OpenEdge

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Kdb vs. OpenEdge

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Time Series DBMSApplication development environment with integrated database management system
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score7.70
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score3.75
Rank#88  Overall
#47  Relational DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablekx.comwww.progress.com/­openedge
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comdocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDgraph Labs, Inc.EsgynGoogleKx Systems, a division of First Derivatives plcProgress Software Corporation
Initial release2016201520152000 infokdb was released 2000, kdb+ in 20031984
Current release3.6, May 2018OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, Javaq
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nononoyesyes
Secondary indexesyesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnoyesnoSQL-like query language (q)yes infoclose to SQL 92
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Progress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functionsyes
Triggersnononoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioninghorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsUsers and groups
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud BigtableKdbOpenEdge
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
DgraphEsgynDBGoogle Cloud BigtableKdbOpenEdge
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