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DBMS > Databricks vs. Google BigQuery vs. Interbase vs. Microsoft SQL Server

System Properties Comparison Databricks vs. Google BigQuery vs. Interbase vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft SQL Server  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.Large scale data warehouse service with append-only tablesLight-weight proven RDBMS infooriginally from BorlandMicrosofts flagship relational DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitewww.databricks.comcloud.google.com/­bigquerywww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­sql-server
Technical documentationdocs.databricks.comcloud.google.com/­bigquery/­docsdocs.embarcadero.com/­products/­interbaselearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperDatabricksGoogleEmbarcaderoMicrosoft
Initial release2013201019841989
Current releaseInterBase 2020, December 2019SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedAndroid
iOS
Linux
OS X
Windows
Linux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
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.yesnono infoexport as XML data possibleyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesPython
R
Scala
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesuser defined functions infoin JavaScriptyes infoInterbase procedure and trigger languageTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Viewsyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
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.nonoyesyes
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksGoogle BigQueryInterbaseMicrosoft SQL Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksGoogle BigQueryInterbaseMicrosoft SQL Server
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