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DBMS > Databricks vs. Newts vs. PostGIS vs. SurrealDB

System Properties Comparison Databricks vs. Newts vs. PostGIS vs. SurrealDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonNewts  Xexclude from comparisonPostGIS  Xexclude from comparisonSurrealDB  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.Time Series DBMS based on CassandraSpatial extension of PostgreSQLA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Relational DBMS
Time Series DBMSSpatial DBMSDocument store
Graph DBMS
Secondary database modelsRelational 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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.databricks.comopennms.github.io/­newtspostgis.netsurrealdb.com
Technical documentationdocs.databricks.comgithub.com/­OpenNMS/­newts/­wikipostgis.net/­documentationsurrealdb.com/­docs
DeveloperDatabricksOpenNMS GroupSurrealDB Ltd
Initial release2013201420052022
Current release3.4.2, February 2024v1.1.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL v2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCRust
Server operating systemshostedLinux
OS X
Windows
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
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.yesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLwith Databricks SQLnoyesSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesPython
R
Scala
JavaDeno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrayes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandrayes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nonono
User concepts infoAccess controlnoyes infobased on PostgreSQLyes, based on authentication and database rules
More information provided by the system vendor
DatabricksNewtsPostGISSurrealDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksNewtsPostGISSurrealDB
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