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DBMS > Dgraph vs. Dragonfly vs. EsgynDB vs. Google Cloud Bigtable vs. searchxml

System Properties Comparison Dgraph vs. Dragonfly vs. EsgynDB vs. Google Cloud Bigtable vs. searchxml

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDragonfly  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEnterprise-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.DBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMSKey-value storeRelational DBMSKey-value store
Wide column store
Native XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitedgraph.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cncloud.google.com/­bigtablewww.searchxml.net/­category/­products
Technical documentationdgraph.io/­docswww.dragonflydb.io/­docscloud.google.com/­bigtable/­docswww.searchxml.net/­support/­handouts
DeveloperDgraph Labs, Inc.DragonflyDB team and community contributorsEsgynGoogleinformationpartners gmbh
Initial release20162023201520152015
Current release1.0, March 20231.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSL 1.1commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++, JavaC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxhostedWindows
Data schemeschema-freescheme-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.nonononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoLuaJava Stored Proceduresnoyes infoon the application server
Triggersnopublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftSource-replica replicationMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsACIDAtomic single-row operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
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.yesnonono
User concepts infoAccess controlno infoPlanned for future releasesPassword-based authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Domain, group and role-based access control at the document level and for application services

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More resources
DgraphDragonflyEsgynDBGoogle Cloud Bigtablesearchxml
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