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DBMS > Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. OrigoDB

System Properties Comparison Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. OrigoDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSIndustrial-strength, open-source database solution built from the ground up for event sourcing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A fully ACID in-memory object graph database
Primary database modelGraph DBMSEvent StoreKey-value store
Wide column store
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score1.14
Rank#181  Overall
#1  Event Stores
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Websitedgraph.iowww.eventstore.comcloud.google.com/­bigtableorigodb.com
Technical documentationdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docsorigodb.com/­docs
DeveloperDgraph Labs, Inc.Event Store LimitedGoogleRobert Friberg et al
Initial release2016201220152009 infounder the name LiveDB
Current release21.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourcecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedLinux
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collections
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.nonono infocan be achieved using .NET
Secondary indexesyesnoyes
SQL infoSupport of SQLnonono
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)
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresnonoyes
Triggersnonoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning infoclient side managed; servers are not synchronized
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead log
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)Role based authorization

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More resources
DgraphEventStoreDBGoogle Cloud BigtableOrigoDB
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Dgraph on AWS: Setting up a horizontally scalable graph database | Amazon Web Services
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