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DBMS > SingleStore vs. Stardog

System Properties Comparison SingleStore vs. Stardog

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Our visitors often compare SingleStore and Stardog with Neo4j, TigerGraph and MongoDB.

Editorial information provided by DB-Engines
NameSingleStore infoformer name was MemSQL  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionMySQL 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 typeEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.12
Rank#70  Overall
#38  Relational DBMS
Score2.07
Rank#117  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.singlestore.comwww.stardog.com
Technical documentationdocs.singlestore.comdocs.stardog.com
DeveloperSingleStore Inc.Stardog-Union
Initial release20132010
Current release8.5, January 20247.3.0, May 2020
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: 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 languageC++, GoJava
Server operating systemsLinux info64 bit version requiredLinux
macOS
Windows
Data schemeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes
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 infoImport/export of XML data possible
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infobut no triggers and foreign keysYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlFine grained access control via users, groups and rolesAccess rights for users and roles
More information provided by the system vendor
SingleStore infoformer name was MemSQLStardog
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
SingleStore infoformer name was MemSQLStardog
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

SingleStore makes it easier for firms to put Iceberg data to work
27 June 2024, Blocks & Files

SingleStore Turbocharges Data Lakehouses with Iceberg Support and Faster Vector Search
28 June 2024, Datanami

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

provided by Google News



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