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DBMS > Databricks vs. dBASE vs. Firebolt vs. IBM Db2 Event Store

System Properties Comparison Databricks vs. dBASE vs. Firebolt vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonFirebolt  Xexclude from comparisonIBM Db2 Event Store  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.dBase 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.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseDistributed Event Store optimized for Internet of Things use cases
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score9.16
Rank#43  Overall
#27  Relational DBMS
Score1.49
Rank#148  Overall
#68  Relational DBMS
Score0.18
Rank#315  Overall
#2  Event Stores
#26  Time Series DBMS
Websitewww.databricks.comwww.dbase.comwww.firebolt.iowww.ibm.com/­products/­db2-event-store
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebasedocs.firebolt.iowww.ibm.com/­docs/­en/­db2-event-store
DeveloperDatabricksAsthon TateFirebolt Analytics Inc.IBM
Initial release2013197920202017
Current releasedBASE 2019, 20192.0
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++
Server operating systemshostedDOS infodBase Classic
Windows infodBase Pro
hostedLinux infoLinux, macOS, Windows for the developer addition
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 indexesyesyesyesno
SQL infoSupport of SQLwith Databricks SQLnoyesyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources..Net
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesPython
R
Scala
dBase proprietary IDEGo
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.noyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on storage layerActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksdBASEFireboltIBM Db2 Event Store
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksdBASEFireboltIBM Db2 Event Store
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