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DBMS > Dgraph vs. Google Cloud Bigtable vs. Kdb vs. Trino

System Properties Comparison Dgraph vs. Google Cloud Bigtable vs. Kdb vs. Trino

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonTrino  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 DBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelGraph DBMSKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph 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
Score5.10
Rank#70  Overall
#38  Relational DBMS
Websitedgraph.iocloud.google.com/­bigtablekx.comtrino.io
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscode.kx.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperDgraph Labs, Inc.GoogleKx Systems, a division of First Derivatives plcTrino Software Foundation
Initial release201620152000 infokdb was released 2000, kdb+ in 20032012 info2020 rebranded from PrestoSQL
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree 32-bit versionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageGoqJava
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
macOS infofor devlopment
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'depending on connected data-source
SQL infoSupport of SQLnonoSQL-like query language (q)yes
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
JDBC
RESTful HTTP API
Trino CLI
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
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes, depending on connected data-source
Triggersnonoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningdepending on connected data-source
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 replicationdepending on connected data-source
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 Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnodepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
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 accountsSQL standard access control
More information provided by the system vendor
DgraphGoogle Cloud BigtableKdbTrino
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Trino is widely adopted across the globe as freely-available open source software....
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsupon request
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» 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
DgraphGoogle Cloud BigtableKdbTrino
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