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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Memcached vs. MonetDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Memcached vs. MonetDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMemcached  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.In-memory key-value store, originally intended for cachingA relational database management system that stores data in columns
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.memcached.orgwww.monetdb.org
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsgithub.com/­memcached/­memcached/­wikiwww.monetdb.org/­Documentation
DeveloperDgraph Labs, Inc.EsgynGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMonetDB BV
Initial release20162015201520032004
Current release1.6.25, March 2024Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoBSD licenseOpen Source infoMozilla Public License 2.0
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++, JavaCC
Server operating systemsLinux
OS X
Windows
LinuxhostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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.nonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoyesnonoyes infoSQL 2003 with some extensions
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)
Proprietary protocolJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
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
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnonoyes, in SQL, C, R
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnoneSharding via remote tables
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 zonesnone infoRepcached, a Memcached patch, provides this functionallitynone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
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)
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
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 infousing SASL (Simple Authentication and Security Layer) protocolfine grained access rights according to SQL-standard

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DgraphEsgynDBGoogle Cloud BigtableMemcachedMonetDB
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