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DBMS > Dgraph vs. Google Cloud Bigtable vs. Kdb vs. openGemini vs. Oracle Coherence

System Properties Comparison Dgraph vs. Google Cloud Bigtable vs. Kdb vs. openGemini vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonopenGemini  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGoogle'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 DBMSAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOracles in-memory data grid solution
Primary database modelGraph DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Time Series DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Websitedgraph.iocloud.google.com/­bigtablekx.comwww.opengemini.org
github.com/­openGemini
www.oracle.com/­java/­coherence
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comdocs.opengemini.org/­guidedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDgraph Labs, Inc.GoogleKx Systems, a division of First Derivatives plcHuawei and openGemini communityOracle
Initial release201620152000 infokdb was released 2000, kdb+ in 200320222007
Current release3.6, May 20181.1, July 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree 32-bit versionOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoqGoJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java VM
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesInteger, Float, Boolean, Stringyes
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.nonoyesnono
Secondary indexesyesnoyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLnonoSQL-like query language (q)SQL-like query languageno
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
HTTP RESTJCache
JPA
RESTful HTTP 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++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Java
Server-side scripts infoStored proceduresnonouser defined functionsnono
Triggersnonoyes infowith viewsnoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningShardingSharding
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 replicationyesyes, with selectable consistency level
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 consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
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 releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsAdministrators and common users accountsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
DgraphGoogle Cloud BigtableKdbopenGeminiOracle Coherence
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
DgraphGoogle Cloud BigtableKdbopenGeminiOracle Coherence
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