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DBMS > HugeGraph vs. Neo4j vs. TimescaleDB

System Properties Comparison HugeGraph vs. Neo4j vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNeo4j  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelGraph DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#353  Overall
#33  Graph DBMS
Score46.61
Rank#22  Overall
#1  Graph DBMS
Score5.62
Rank#73  Overall
#4  Time Series DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
neo4j.comwww.timescale.com
Technical documentationhugegraph.apache.org/­docsneo4j.com/­docsdocs.timescale.com
DeveloperBaiduNeo4j, Inc.Timescale
Initial release201820072017
Current release0.95.17, February 20242.13.0, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version3, commercial licenses availableOpen 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 languageJavaJava, ScalaC
Server operating systemsLinux
macOS
Unix
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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
Secondary indexesyes infoalso supports composite index and range indexyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGroovy
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoUser defined Procedures and Functionsuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infovia event handleryes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes using Neo4j Fabricyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlySource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)fine grained access rights according to SQL-standard
More information provided by the system vendor
HugeGraphNeo4jTimescaleDB
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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17 February 2024

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3 February 2024

This Week in Neo4j: Knowledge Graphs, NeoDash, Automation, Web Analysis and more
27 January 2024

This Week in Neo4j: Cloud Deployments, Llamaindex, Knowledge Graphs, Aura CLI and more
20 January 2024

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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
HugeGraphNeo4jTimescaleDB
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