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DBMS > GridDB vs. Machbase Neo vs. Neo4j vs. Raima Database Manager vs. Redis

System Properties Comparison GridDB vs. Machbase Neo vs. Neo4j vs. Raima Database Manager vs. Redis

Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonNeo4j  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonRedis  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataTimeSeries DBMS for AIoT and BigDataScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsRDBMS with a small footprint, either embedded into an application or used as a database serverPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.
Primary database modelTime Series DBMSTime Series DBMSGraph DBMSRelational DBMS
Time Series DBMS
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence
Secondary database modelsKey-value store
Relational DBMS
Document store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Websitegriddb.netmachbase.comneo4j.comraima.comredis.com
redis.io
Technical documentationdocs.griddb.netmachbase.com/­dbmsneo4j.com/­docsdocs.raima.comdocs.redis.com/­latest/­index.html
redis.io/­docs
DeveloperToshiba CorporationMachbaseNeo4j, Inc.Raima Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.
Initial release20132013200719842009
Current release5.1, August 2022V8.0, August 20235.20, May 202415, June 20217.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial infofree test version availableOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprise
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageC++CJava, ScalaCC
Server operating systemsLinuxLinux
macOS
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Data schemeyesyesschema-free and schema-optionalyesschema-free
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infowith RediSearch module
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoyeswith RediSQL module
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
ODBC
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Objective-C
PL/SQL
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
Server-side scripts infoStored proceduresnonoyes infoUser defined Procedures and Functionsyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationLua; Redis Functions coming in Redis 7 (slides and Github)
Triggersyesnoyes infovia event handleryespublish/subscribe channels provide some trigger functionality; RedisGears
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes using Neo4j Fabrichorizontal partitioningSharding infoAutomatic hash-based sharding with support for hash-tags for manual sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnononothrough RedisGears
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
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnoACIDACIDAtomic execution of command blocks and scripts and optimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes infoData access is serialized by the server
Durability infoSupport for making data persistentyesnoyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovolatile and lookup tableyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasesimple password-based access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)noAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
More information provided by the system vendor
GridDBMachbase Neo infoFormer name was InfinifluxNeo4jRaima Database Manager infoformerly named db_VistaRedis
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
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» 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
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» 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
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» 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
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsGitHub trending repository
» more
Neo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» 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
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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