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DBMS > NebulaGraph vs. OpenSearch

System Properties Comparison NebulaGraph vs. OpenSearch

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Our visitors often compare NebulaGraph and OpenSearch with Elasticsearch, MongoDB and Neo4j.

Editorial information provided by DB-Engines
NameNebulaGraph  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionA distributed, linear scalable, high perfomant Graph DBMSA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelGraph DBMSSearch engine
Vector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.75
Rank#128  Overall
#11  Graph DBMS
Score17.38
Rank#32  Overall
#4  Search engines
#2  Vector DBMS
Websitegithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
github.com/­opensearch-project
opensearch.org
Technical documentationdocs.nebula-graph.ioopensearch.org/­docs/­latest
DeveloperVesoft Inc.The OpenSearch Software Foundation
Initial release20192021
Current release2.19, February 2025
License infoCommercial or Open SourceOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++Java
Server operating systemsLinuxAll OS with a Java VM
Data schemeStrong typed schemaschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query language
APIs and other access methodsBrowser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Go
Java
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocolyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
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, all
Foreign keys infoReferential integrityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlRole-based access control

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More resources
NebulaGraphOpenSearch
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