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DBMS > Dgraph vs. GBase vs. Google Cloud Bigtable vs. Kdb vs. ObjectBox

System Properties Comparison Dgraph vs. GBase vs. Google Cloud Bigtable vs. Kdb vs. ObjectBox

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSAn analytical database for business intelligence with large customers in China.Google'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 DBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Object oriented DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score1.04
Rank#190  Overall
#88  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
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Websitedgraph.iowww.gbase.cncloud.google.com/­bigtablekx.comobjectbox.io
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comdocs.objectbox.io
DeveloperDgraph Labs, Inc.GoogleKx Systems, a division of First Derivatives plcObjectBox Limited
Initial release201620152000 infokdb was released 2000, kdb+ in 20032017
Current releaseGBase 8a3.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infofree 32-bit versionOpen Source infoApache License 2.0
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 languageGoqC and C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsyes
More information provided by the system vendor
DgraphGBaseGoogle Cloud BigtableKdbObjectBox
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphGBaseGoogle Cloud BigtableKdbObjectBox
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