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DBMS > FaunaDB vs. Neo4j vs. ScyllaDB vs. TigerGraph vs. Yanza

System Properties Comparison FaunaDB vs. Neo4j vs. ScyllaDB vs. TigerGraph vs. Yanza

Editorial information provided by DB-Engines
NameFaunaDB  Xexclude from comparisonNeo4j  Xexclude from comparisonScyllaDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionStrongly consistent database capable of global horizontal scale with a focus on operational simplicityOpen source graph databaseCassandra-compatible wide column storeA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTime Series DBMS for IoT Applications
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Graph DBMSWide column storeGraph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.98
Rank#154  Overall
#23  Document stores
#10  Graph DBMS
#76  Relational DBMS
#9  Time Series DBMS
Score51.21
Rank#22  Overall
#1  Graph DBMS
Score2.25
Rank#109  Overall
#8  Wide column stores
Score0.87
Rank#165  Overall
#13  Graph DBMS
Score0.00
Rank#334  Overall
#31  Time Series DBMS
Websitefauna.comneo4j.comwww.scylladb.comwww.tigergraph.comyanza.com
Technical documentationfauna.com/­documentationneo4j.com/­docsdocs.scylladb.comdocs.tigergraph.com
DeveloperFauna, Inc.Neo4j, Inc.ScyllaDBYanza
Initial release20142007201520172015
Current release4.0.0, January 2020Scylla Open Source 3.2.0, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoOpen Source (AGPL), commercial license availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono 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.
Implementation languageScalaJava, ScalaC++C++
Server operating systemsLinuxLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinuxWindows
Data schemeschema-freeschema-free and schema-optionalschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nononono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes infocluster global secondary indicesno
SQL infoSupport of SQLnonoSQL-like DML and DDL statements (CQL)SQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsyes infoUser defined Procedures and Functionsnoyesno
Triggersnoyes infovia event handlernonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMasterlessCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyselectable replication factor infoRepresentation of geographical distribution of servers is possiblenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesno
User concepts infoAccess controlIdentity management, authentication, and access controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Access rights for users can be defined per objectRole-based access controlno
More information provided by the system vendor
FaunaDBNeo4jScyllaDBTigerGraphYanza
Specific characteristicsServerless cloud database for modern applications Native GraphQL API High performance...
» more
Neo4j is a native graph database platform that is built to store, query, analyze...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesDocument-relational interface: combines flexibility in modeling with flexibility...
» more
Neo4j database is the only transactional database that combines everything you need...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosModern Javascript Apps Identity management Multi-tenant SaaS backend Social content...
» more
Real-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersNextdoor ShiftX
» more
Over 300 commercial customers and over 750 startups use Neo4j. Flagship customers...
» more
TigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than a 15 million...
» more
TigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more
News

Performant Queries on Highly Connected, Growing Data
26 February 2020

Pokégraph: Gotta Graph ‘Em All!
25 February 2020

Sharding the LDBC Social Network
24 February 2020

This Week in Neo4j – Halin Monitoring, Analyzing CodeMotion Data, Exploring GGCD Graph, Clojure Release, and More 4.0
22 February 2020

#GraphCast: Migrating from Neo4j 3.5 to 4.0
21 February 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
FaunaDBNeo4jScyllaDBTigerGraphYanza
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Conferences and events

GraphConnect 2020
New York, USA, 20-22 April 2020

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