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DBMS > GridDB vs. Neo4j vs. Qdrant vs. Stardog

System Properties Comparison GridDB vs. Neo4j vs. Qdrant vs. Stardog

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonNeo4j  Xexclude from comparisonQdrant  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA high-performance vector database with neural network or semantic-based matchingEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelTime Series DBMSGraph DBMSVector DBMSGraph DBMS
RDF store
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitegriddb.netneo4j.comgithub.com/­qdrant/­qdrant
qdrant.tech
www.stardog.com
Technical documentationdocs.griddb.netneo4j.com/­docsqdrant.tech/­documentationdocs.stardog.com
DeveloperToshiba CorporationNeo4j, Inc.QdrantStardog-Union
Initial release2013200720212010
Current release5.1, August 20225.19, April 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version3, commercial licenses availableOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++Java, ScalaRustJava
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyesschema-free and schema-optionalschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesNumbers, Strings, Geo, Booleanyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infoKeywords, numberic ranges, geo, full-textyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)nonoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesyes infovia event handleryes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingyes using Neo4j FabricShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyCollection-level replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency, tunable consistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per databaseUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Key-based authenticationAccess rights for users and roles
More information provided by the system vendor
GridDBNeo4jQdrantStardog
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsGitHub trending repository
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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