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DBMS > Databricks vs. PostGIS vs. SingleStore vs. SWC-DB

System Properties Comparison Databricks vs. PostGIS vs. SingleStore vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.Spatial extension of PostgreSQLMySQL 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 typeA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Spatial DBMSRelational DBMSWide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.compostgis.netwww.singlestore.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.compostgis.net/­documentationdocs.singlestore.com
DeveloperDatabricksSingleStore Inc.Alex Kashirin
Initial release2013200520132020
Current release3.4.2, February 20248.5, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercial infofree developer edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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 languageCC++, GoC++
Server operating systemshostedLinux info64 bit version requiredLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
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.yesyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes infobut no triggers and foreign keysSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLSharding infohash partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlyes infobased on PostgreSQLFine grained access control via users, groups and roles
More information provided by the system vendor
DatabricksPostGISSingleStore infoformer name was MemSQLSWC-DB infoSuper Wide Column Database
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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DatabricksPostGISSingleStore infoformer name was MemSQLSWC-DB infoSuper Wide Column Database
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