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DBMS > Databricks vs. GBase vs. SpatiaLite

System Properties Comparison Databricks vs. GBase vs. SpatiaLite

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonSpatiaLite  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial extension of SQLite
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.85
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score1.24
Rank#164  Overall
#74  Relational DBMS
Score1.47
Rank#143  Overall
#3  Spatial DBMS
Websitewww.databricks.comwww.gbase.cnwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.databricks.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksGeneral Data Technology Co., Ltd.Alessandro Furieri
Initial release201320042008
Current releaseGBase 8a, GBase 8s, GBase 8c5.0.0, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonC++
Server operating systemshostedLinuxserver-less
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLStandard with numerous extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
Supported programming languagesPython
R
Scala
C#
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functionsno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesno
More information provided by the system vendor
DatabricksGBaseSpatiaLite
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGBaseSpatiaLite
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Recent citations in the news

Databricks Inks $5 Billion of Private Credit, Bank Funding
13 January 2025, Yahoo Finance

Report: Databricks Completes Largest Financing Round Yet, Raising $5 Billion
14 January 2025, PYMNTS.com

Databricks Raises $5 Billion in Debt Financing
14 January 2025, The Information

Databricks announces $10 billion financing at $62 billion valuation
17 December 2024, CNBC

‘It’s dumb to IPO this year’: Databricks CEO explains why he’s waiting to go public
17 December 2024, TechCrunch

provided by Google News



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