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DBMS > Databricks vs. Datomic vs. dBASE vs. IBM Db2

System Properties Comparison Databricks vs. Datomic vs. dBASE vs. IBM Db2

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisondBASE  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Common in IBM host environments, 2 different versions for host and Windows/Linux
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDB
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Websitewww.databricks.comwww.datomic.comwww.dbase.comwww.ibm.com/­products/­db2
Technical documentationdocs.databricks.comdocs.datomic.comwww.dbase.com/­support/­knowledgebasewww.ibm.com/­docs/­en/­db2
DeveloperDatabricksCognitectAsthon TateIBM
Initial release2013201219791983 infohost version
Current release1.0.7180, July 2024dBASE 2019, 201912.1, October 2016
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial infofree 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 languageJava, ClojureC and C++
Server operating systemshostedAll OS with a Java VMDOS infodBase Classic
Windows infodBase Pro
AIX
HP-UX
Linux
Solaris
Windows
z/OS
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnonoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APInone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesPython
R
Scala
Clojure
Java
dBase proprietary IDEC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsno infoThe IDE can access stored procedures in other database systems.yes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoonly with Windows/Unix/Linux Version
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersnoneyes infowith separate tools (MQ, InfoSphere)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and development
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDatomicdBASEIBM Db2 infoformerly named DB2 or IBM Database 2
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicdBASEIBM Db2 infoformerly named DB2 or IBM Database 2
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