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DBMS > Neo4j vs. RavenDB vs. Redis vs. Teradata Aster vs. TerarkDB

System Properties Comparison Neo4j vs. RavenDB vs. Redis vs. Teradata Aster vs. TerarkDB

Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonRedis  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerarkDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabasePopular 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.Platform for big data analytics on multistructured data sources and typesA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMSDocument storeKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series 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
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score155.94
Rank#6  Overall
#1  Key-value stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteneo4j.comravendb.netredis.com
redis.io
github.com/­bytedance/­terarkdb
Technical documentationneo4j.com/­docsravendb.net/­docsdocs.redis.com/­latest/­index.html
redis.io/­docs
bytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperNeo4j, Inc.Hibernating RhinosRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.TeradataByteDance, originally Terark
Initial release20072010200920052016
Current release5.20, May 20245.4, July 20227.2.5, May 2024
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercialcommercial inforestricted open source version available
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 languageJava, ScalaC#CC++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
Data schemeschema-free and schema-optionalschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesno
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.noyes infoin Aster File Storeno
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyesyes infowith RediSearch moduleyesno
SQL infoSupport of SQLnoSQL-like query language (RQL)with RediSQL moduleyesno
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
OLE DB
C++ API
Java API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infoUser defined Procedures and FunctionsyesLua; Redis Functions coming in Redis 7 (slides and Github)R packagesno
Triggersyes infovia event handleryespublish/subscribe channels provide some trigger functionality; RedisGearsnono
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesthrough RedisGearsyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableAtomic execution of command blocks and scripts and optimistic lockingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Authorization levels configured per client per databaseAccess 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
fine grained access rights according to SQL-standardno
More information provided by the system vendor
Neo4jRavenDBRedisTeradata AsterTerarkDB
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
News

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4 June 2024

RDF vs. Property Graphs: Choosing the Right Approach for Implementing a Knowledge Graph
4 June 2024

This Week in Neo4j: Importing Data, NODES, GenAI, Going Meta and more
1 June 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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