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DBMS > Cubrid vs. Dgraph vs. EsgynDB vs. FileMaker vs. Google Cloud Bigtable

System Properties Comparison Cubrid vs. Dgraph vs. EsgynDB vs. FileMaker vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Websitecubrid.com (korean)
cubrid.org (english)
dgraph.iowww.esgyn.cnwww.claris.com/­filemakercloud.google.com/­bigtable
Technical documentationcubrid.org/­manualsdgraph.io/­docswww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docs
DeveloperCUBRID Corporation, CUBRID FoundationDgraph Labs, Inc.EsgynClaris infoa subsidiary of AppleGoogle
Initial release20082016201519832015
Current release11.0, January 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaGoC++, Java
Server operating systemsLinux
Windows
Linux
OS X
Windows
LinuxiOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesnoyesyes infovia pluginsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetPHPC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored ProceduresnoJava Stored Proceduresyesno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlfine grained access rights according to SQL-standardno infoPlanned for future releasesfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
CubridDgraphEsgynDBFileMakerGoogle Cloud Bigtable
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