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DBMS > Dgraph vs. EsgynDB vs. EventStoreDB vs. Google Cloud Bigtable vs. PostGIS

System Properties Comparison Dgraph vs. EsgynDB vs. EventStoreDB vs. Google Cloud Bigtable vs. PostGIS

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIndustrial-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.Spatial extension of PostgreSQL
Primary database modelGraph DBMSRelational DBMSEvent StoreWide column storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#127  Overall
#10  Graph DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score0.87
Rank#189  Overall
#1  Event Stores
Score3.98
Rank#85  Overall
#6  Wide column stores
Score30.71
Rank#27  Overall
#1  Spatial DBMS
Websitedgraph.iowww.esgyn.cnwww.eventstore.comcloud.google.com/­bigtablepostgis.net
Technical documentationdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docspostgis.net/­documentation
DeveloperDgraph Labs, Inc.EsgynEvent Store LimitedGoogle
Initial release20162015201220152005
Current release21.2, February 20213.1.4, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourcecommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Event Store Cloud allows you to deploy a managed EventStoreDB cluster in AWS, GCP and Azure (coming soon).
Implementation languageGoC++, JavaC
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
hosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresnouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
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.nonono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes infobased on PostgreSQL
More information provided by the system vendor
DgraphEsgynDBEventStoreDBGoogle Cloud BigtablePostGIS
Specific characteristicsGuaranteed writes Great performance that scales Immutable data store High availability...
» more
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
EventStoreDB's core database server is used in production systems worldwide. The...
» more
Typical application scenariosEvent-sourced systems Event-driven architecture
» more
Key customersEventStoreDB is used by companies across a whole range of industries. Here are just...
» more
Licensing and pricing modelsAvailable as open-source software and licensed under the 3-clause BSD license ( https://github.com/EventStore/EventStore/blob/master/LICENSE.md...
» 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
DgraphEsgynDBEventStoreDBGoogle Cloud BigtablePostGIS
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