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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonPostGIS  Xexclude from comparisonQdrant  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 PostgreSQLA high-performance vector database with neural network or semantic-based matchingA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Spatial DBMSVector DBMSWide column store
Secondary database modelsRelational DBMSTime 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
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.databricks.compostgis.netgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.compostgis.net/­documentationqdrant.tech/­documentation
DeveloperDatabricksQdrantAlex Kashirin
Initial release2013200520212020
Current release3.4.2, February 20240.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache Version 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCRustC++
Server operating systemshostedDocker
Linux
macOS
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Boolean
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 infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLwith Databricks SQLyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infobased on PostgreSQLCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 PostgreSQLKey-based authentication
More information provided by the system vendor
DatabricksPostGISQdrantSWC-DB infoSuper Wide Column Database
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksPostGISQdrantSWC-DB infoSuper Wide Column Database
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