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DBMS > Dgraph vs. EsgynDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. IBM Cloudant

System Properties Comparison Dgraph vs. EsgynDB vs. Firebase Realtime Database vs. Google Cloud Bigtable vs. IBM Cloudant

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Database as a Service offering based on Apache CouchDB
Primary database modelGraph DBMSRelational DBMSDocument storeKey-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Websitedgraph.iowww.esgyn.cnfirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.ibm.com/­products/­cloudant
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docscloud.ibm.com/­docs/­Cloudant
DeveloperDgraph Labs, Inc.EsgynGoogle infoacquired by Google 2014GoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release20162015201220152010
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaErlang
Server operating systemsLinux
OS X
Windows
Linuxhostedhostedhosted
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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.nonononono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresnoJava Stored Procedureslimited functionality with using 'rules'noView functions (Map-Reduce) in JavaScript
TriggersnonoCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
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 zonesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesAtomic single-row operationsno infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoOptimistic locking
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.nonono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per database

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More resources
DgraphEsgynDBFirebase Realtime DatabaseGoogle Cloud BigtableIBM Cloudant
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