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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPinecone  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 DBMSOracles in-memory data grid solutionA managed, cloud-native vector database
Primary database modelGraph DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Key-value storeVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.90
Rank#127  Overall
#21  Key-value stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitedgraph.iocloud.google.com/­bigtablekx.comwww.oracle.com/­java/­coherencewww.pinecone.io
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.pinecone.io/­docs/­overview
DeveloperDgraph Labs, Inc.GoogleKx Systems, a division of First Derivatives plcOraclePinecone Systems, Inc
Initial release201620152000 infokdb was released 2000, kdb+ in 200320072019
Current release3.6, May 201814.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoqJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
All OS with a Java VMhosted
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesString, Number, Boolean
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'no
SQL infoSupport of SQLnonoSQL-like query language (q)nono
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
JCache
JPA
RESTful HTTP API
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
.Net
C++
Java
Python
Server-side scripts infoStored proceduresnonouser defined functionsno
Triggersnonoyes infowith viewsyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningSharding
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 replicationyes, 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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
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 accountsauthentification to access the cache via certificates or http basic authentication
More information provided by the system vendor
DgraphGoogle Cloud BigtableKdbOracle CoherencePinecone
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 BigtableKdbOracle CoherencePinecone
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