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DBMS > GridGain vs. Milvus vs. Neo4j

System Properties Comparison GridGain vs. Milvus vs. Neo4j

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMilvus  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelKey-value store
Relational DBMS
Search engineGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.34
Rank#130  Overall
#26  Key-value stores
#64  Relational DBMS
Score0.80
Rank#239  Overall
#16  Search engines
Score53.51
Rank#20  Overall
#1  Graph DBMS
Websitewww.gridgain.commilvus.ioneo4j.com
Technical documentationwww.gridgain.com/­docs/­latestmilvus.io/­docs/­overview.mdneo4j.com/­docs
DeveloperGridGain Systems, Inc.Neo4j, Inc.
Initial release200720192007
Current releaseGridGain 8.5.12.2, November 20225.6, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for MilvusNeo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, C++, .NetC++, GoJava, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringyes
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.yesno
Secondary indexesyesnoyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoUser defined Procedures and Functions
Triggersyes (cache interceptors and events)noyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Causal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GridGainMilvusNeo4j
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Neo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Neo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosVideo media : video understanding, video deduplication. E-commerce and mobile applications...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersMilvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more
Over 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsAs of February 2023, 14k+ GitHub stars 2M+ downloads and installations 1000+ enterprise...
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
GPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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