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DBMS > Neo4j vs. TigerGraph vs. YugabyteDB

System Properties Comparison Neo4j vs. TigerGraph vs. YugabyteDB

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Editorial information provided by DB-Engines
NameNeo4j  Xexclude from comparisonTigerGraph  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelGraph DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score42.70
Rank#21  Overall
#1  Graph DBMS
Score1.40
Rank#152  Overall
#14  Graph DBMS
Score2.36
Rank#107  Overall
#53  Relational DBMS
Websiteneo4j.comwww.tigergraph.comwww.yugabyte.com
Technical documentationneo4j.com/­docsdocs.tigergraph.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperNeo4j, Inc.Yugabyte Inc.
Initial release200720172017
Current release5.23, August 20242.19, September 2023
License infoCommercial or Open SourceOpen Source infoGPL version3, commercial licenses availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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++C and C++
Server operating systemsLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
OS X
Data schemeschema-free and schema-optionalyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLnoSQL-like query language (GSQL)yes, PostgreSQL compatible
APIs and other access methodsBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
C++
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes infoUser defined Procedures and Functionsyesyes infosql, plpgsql, C
Triggersyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesyes using Neo4j FabricHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access controlyes
More information provided by the system vendor
Neo4jTigerGraphYugabyteDB
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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More resources
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DB-Engines blog posts

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12 June 2019, Amy Hodler & Mark Needham, Neo4j (guest author)

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