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DBMS > JanusGraph vs. Manticore Search vs. PostgreSQL

System Properties Comparison JanusGraph vs. Manticore Search vs. PostgreSQL

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonManticore Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Multi-storage database for search, including full-text search.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#134  Overall
#12  Graph DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score644.36
Rank#4  Overall
#4  Relational DBMS
Websitejanusgraph.orgmanticoresearch.comwww.postgresql.org
Technical documentationdocs.janusgraph.orgmanual.manticoresearch.comwww.postgresql.org/­docs
DeveloperLinux Foundation; originally developed as Titan by AureliusManticore SoftwarePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201720171989 info1989: Postgres, 1996: PostgreSQL
Current release1.0.0, October 20236.0, February 202316.4, August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaC++C
Server operating systemsLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageyes infostandard with numerous extensions
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infoPartitioning is done manually, search queries against distributed index is supportedpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication based on Galera librarySource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

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More resources
JanusGraph infosuccessor of TitanManticore SearchPostgreSQL
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

Recent citations in the news

Database Deep Dives: JanusGraph
8 August 2019, ibm.com

Simple Deployment of a Graph Database: JanusGraph
12 October 2020, Towards Data Science

JanusGraph Picks Up Where TitanDB Left Off
13 January 2017, Datanami

Nordstrom Builds Flexible Backend Ops with Kubernetes, Spark and JanusGraph
3 October 2019, The New Stack

Compose for JanusGraph arrives on Bluemix
15 September 2017, ibm.com

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