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DBMS > Databricks vs. RDFox vs. SingleStore

System Properties Comparison Databricks vs. RDFox vs. SingleStore

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.High performance knowledge graph and semantic reasoning engineMySQL 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 modelDocument store
Relational DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitewww.databricks.comwww.oxfordsemantic.techwww.singlestore.com
Technical documentationdocs.databricks.comdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperDatabricksOxford Semantic TechnologiesSingleStore Inc.
Initial release201320172013
Current release6.0, Septermber 20228.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
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++C++, Go
Server operating systemshostedLinux
macOS
Windows
Linux info64 bit version required
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoRDF schemasyes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesPython
R
Scala
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.noyesyes
User concepts infoAccess controlRoles, resources, and access typesFine grained access control via users, groups and roles
More information provided by the system vendor
DatabricksRDFoxSingleStore infoformer name was MemSQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
SingleStore 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabricksRDFoxSingleStore infoformer name was MemSQL
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