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DBMS > Dgraph vs. Elasticsearch vs. EsgynDB vs. HugeGraph vs. NuoDB

System Properties Comparison Dgraph vs. Elasticsearch vs. EsgynDB vs. HugeGraph vs. NuoDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonElasticsearch  Xexclude from comparisonEsgynDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA fast-speed and highly-scalable Graph DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelGraph DBMSSearch engineRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score134.79
Rank#7  Overall
#1  Search engines
Score0.26
Rank#311  Overall
#141  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score0.94
Rank#207  Overall
#96  Relational DBMS
Websitedgraph.iowww.elastic.co/­elasticsearchwww.esgyn.cngithub.com/­hugegraph
hugegraph.apache.org
www.3ds.com/­nuodb-distributed-sql-database
Technical documentationdgraph.io/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlhugegraph.apache.org/­docsdoc.nuodb.com
DeveloperDgraph Labs, Inc.ElasticEsgynBaiduDassault Systèmes infooriginally NuoDB, Inc.
Initial release20162010201520182013
Current release8.6, January 20230.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoElastic LicensecommercialOpen Source infoApache Version 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++, JavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinuxLinux
macOS
Unix
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyesyes
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.nonononono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoSQL-like query languageyesnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetGroovy
Java
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresasynchronous Gremlin script jobsJava, SQL
Triggersnoyes infoby using the 'percolation' featurenonoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesMulti-source replication between multi datacentersyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID 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.Memcached and Redis integrationnoyesyes infoTemporary table
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardUsers, roles and permissionsStandard SQL roles/ privileges, Administrative Users

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More resources
DgraphElasticsearchEsgynDBHugeGraphNuoDB
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