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DBMS > Databricks vs. Derby vs. Microsoft Access vs. SpatiaLite vs. Yanza

System Properties Comparison Databricks vs. Derby vs. Microsoft Access vs. SpatiaLite vs. Yanza

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSpatiaLite  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Spatial extension of SQLiteTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websitewww.databricks.comdb.apache.org/­derbywww.microsoft.com/­en-us/­microsoft-365/­accesswww.gaia-gis.it/­fossil/­libspatialite/­indexyanza.com
Technical documentationdocs.databricks.comdb.apache.org/­derby/­manuals/­index.htmldeveloper.microsoft.com/­en-us/­accesswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperDatabricksApache Software FoundationMicrosoftAlessandro FurieriYanza
Initial release20131997199220082015
Current release10.17.1.0, November 20231902 (16.0.11328.20222), March 20195.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infoBundled with Microsoft OfficeOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsserver-lessWindows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLyesyes infobut not compliant to any SQL standardyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesPython
R
Scala
JavaC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyes infosince Access 2010 using the ACE-enginenono
Triggersyesyes infosince Access 2010 using the ACE-engineyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003nono
More information provided by the system vendor
DatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMicrosoft AccessSpatiaLiteYanza
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBMicrosoft AccessSpatiaLiteYanza
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