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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Datastore vs. InterSystems IRIS vs. Memgraph

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Datastore vs. InterSystems IRIS vs. Memgraph

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelGraph DBMSRelational DBMSDocument storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score4.49
Rank#79  Overall
#12  Document stores
Score4.39
Rank#81  Overall
#13  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#44  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­datastorewww.intersystems.com/­products/­intersystems-irismemgraph.com
Technical documentationdgraph.io/­docscloud.google.com/­datastore/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperDgraph Labs, Inc.EsgynGoogleInterSystemsMemgraph Ltd
Initial release20162015200820182017
Current release2023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial infoFree license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxhostedAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeschema-freeyesschema-freedepending on used data modelschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nononoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like query language (GQL)yesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresusing Google App Engineyes
TriggersnonoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replication using PaxosSource-replica replicationMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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)yesUsers, roles and permissions
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud DatastoreInterSystems IRISMemgraph
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
DgraphEsgynDBGoogle Cloud DatastoreInterSystems IRISMemgraph
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