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DBMS > Databricks vs. InfinityDB vs. Microsoft SQL Server vs. Oracle

System Properties Comparison Databricks vs. InfinityDB vs. Microsoft SQL Server vs. Oracle

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle  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.A Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMSWidely used RDBMS
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.34
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score0.09
Rank#357  Overall
#53  Key-value stores
Score845.81
Rank#3  Overall
#3  Relational DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Websitewww.databricks.comboilerbay.comwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­database
Technical documentationdocs.databricks.comboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-serverdocs.oracle.com/­en/­database
DeveloperDatabricksBoiler Bay Inc.MicrosoftOracle
Initial release2013200219891980
Current release4.0SQL Server 2022, November 202223c, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availablecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemshostedAll OS with a Java VMLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.yesnoyesyes
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython
R
Scala
JavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaPL/SQL infoalso stored procedures in Java possible
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes, but depending on the SQL-Server EditionMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDACID infoisolation level can be parameterized
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.nonoyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksInfinityDBMicrosoft SQL ServerOracle
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksInfinityDBMicrosoft SQL ServerOracle
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