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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Firestore vs. GridGain vs. NuoDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Firestore vs. GridGain vs. NuoDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.GridGain is an in-memory computing platform, built on Apache IgniteNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMSRelational DBMSDocument storeKey-value store
Relational DBMS
Relational 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
Score8.96
Rank#48  Overall
#8  Document stores
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Websitedgraph.iowww.esgyn.cnfirebase.google.com/­products/­firestorewww.gridgain.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmldoc.nuodb.com
DeveloperDgraph Labs, Inc.EsgynGoogleGridGain Systems, Inc.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release20162015201720072013
Current releaseGridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial infolimited edition free
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++, JavaJava, C++, .NetC++
Server operating systemsLinux
OS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)Java, SQL
Triggersnonoyes, with Cloud Functionsyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replicationyes (replicated cache)yes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary table
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. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsStandard SQL roles/ privileges, Administrative Users

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More resources
DgraphEsgynDBGoogle Cloud FirestoreGridGainNuoDB
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