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DBMS > GridGain vs. KeyDB vs. Kinetica vs. Neo4j

System Properties Comparison GridGain vs. KeyDB vs. Kinetica vs. Neo4j

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonKeyDB  Xexclude from comparisonKinetica  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score42.68
Rank#21  Overall
#1  Graph DBMS
Websitewww.gridgain.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.comneo4j.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.keydb.devdocs.kinetica.comneo4j.com/­docs
DeveloperGridGain Systems, Inc.EQ Alpha Technology Ltd.KineticaNeo4j, Inc.
Initial release2007201920122007
Current releaseGridGain 8.5.17.1, August 20215.23, August 2024
License infoCommercial or Open Sourcecommercial, open sourceOpen Source infoBSD-3commercialOpen Source infoGPL version3, commercial licenses available
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 languageJava, C++, .Net, Python, REST, SQLC++C, C++Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
LinuxLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
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.yesnono
Secondary indexesyesyes infoby using the Redis Search moduleyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statementsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
Bolt 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
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
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)Luauser defined functionsyes infoUser defined Procedures and Functions
Triggersyes (cache interceptors and events)noyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replicationCausal 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)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configurationCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
simple password-based access control and ACLAccess rights for users and roles on table levelUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
GridGainKeyDBKineticaNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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