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DBMS > JanusGraph vs. Postgres-XL vs. SingleStore

System Properties Comparison JanusGraph vs. Postgres-XL vs. SingleStore

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Editorial information provided by DB-Engines
NameJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#112  Overall
#8  Graph DBMS
Score0.72
Rank#204  Overall
#99  Relational DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websitejanusgraph.orgwww.postgres-xl.orgwww.singlestore.com
Technical documentationdocs.janusgraph.orgwww.postgres-xl.org/­documentationdocs.singlestore.com
DeveloperLinux Foundation; originally developed as Titan by AureliusSingleStore Inc.
Initial release20172014 infosince 2012, originally named StormDB2013
Current release0.6.0, September 202110 R1, October 20187.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMozilla public licensecommercial infofree developer edition available
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.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaCC++, Go
Server operating systemsLinux
OS X
Unix
Windows
Linux
macOS
Linux info64 bit version required
Data schemeyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionyes infobut no triggers and foreign keys
APIs and other access methodsJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesClojure
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Faunus, a graph analytics enginenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
JanusGraph infosuccessor of TitanPostgres-XLSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
JanusGraph infosuccessor of TitanPostgres-XLSingleStore infoformer name was MemSQL
Conferences and events

Distributed SQL Architecture: A Primer on Rowstore and Columnstore Databases
Webinar, 10am PST, 1 February 2022

Databases and DevOps. TechTalk with Joe Karlsson (SingleStore) and Rizel Scarlett (GitHub)
Webinar, 9 am PST, 9 February 2022

Migrating from PostgreSQL to Drive 20-100x Faster Performance
Webinar, 10am PST, 15 February 2022

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