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DBMS > Neo4j vs. Quasardb vs. Yanza

System Properties Comparison Neo4j vs. Quasardb vs. Yanza

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonQuasardb  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsDistributed, high-performance timeseries databaseTime Series DBMS for IoT Applications
Primary database modelGraph DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.51
Rank#20  Overall
#1  Graph DBMS
Score0.16
Rank#369  Overall
#36  Time Series DBMS
Score0.04
Rank#379  Overall
#39  Time Series DBMS
Websiteneo4j.comquasardb.netyanza.com
Technical documentationneo4j.com/­docsdoc.quasar.ai/­master
DeveloperNeo4j, Inc.quasardbYanza
Initial release200720092015
Current release5.5, February 20233.13.3, April 2022
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
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, ScalaC++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Windows
Data schemeschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryno
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.nono
Secondary indexesyes infopluggable indexing subsystem, by default Apache Luceneyes infowith tagsno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
HTTP APIHTTP API
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsnono
Triggersyes infovia event handlernoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Cryptographically strong user authentication and audit trailno
More information provided by the system vendor
Neo4jQuasardbYanza
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

This Week in Neo4j: GraphQL, Vercel, Next.js, Bloom, Embeddings, Neo4j Desktop, Spring Data, Workshops and more
21 March 2023

Unlock the Power of Graph Data Science With AuraDS Enterprise on AWS
20 March 2023

This Week in Neo4j: GPT, NASA, Generative AI, Apache Age, Cypher, Chatbot and More
18 March 2023

This Week in Neo4j: Recommendation, Needle, Microservices, Data Import, Data Analysis, and More
11 March 2023

How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2
10 March 2023

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

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More resources
Neo4jQuasardbYanza
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2 March 2016, Paul Andlinger

The openCypher Project: Help Shape the SQL for Graphs
22 December 2015, Emil Eifrem (guest author)

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