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DBMS > dBASE vs. PlanetScale vs. Spark SQL vs. Splice Machine vs. Transbase

System Properties Comparison dBASE vs. PlanetScale vs. Spark SQL vs. Splice Machine vs. Transbase

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonPlanetScale  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplice Machine  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptiondBase 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.Scalable, distributed, serverless MySQL database platform built on top of VitessSpark SQL is a component on top of 'Spark Core' for structured data processingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.dbase.complanetscale.comspark.apache.org/­sqlsplicemachine.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.dbase.com/­support/­knowledgebaseplanetscale.com/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-workswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAsthon TatePlanetScaleApache Software FoundationSplice MachineTransaction Software GmbH
Initial release19792020201420141987
Current releasedBASE 2019, 20193.5.0 ( 2.13), September 20233.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaJavaC and C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Docker
Linux
macOS
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesdBase proprietary IDEAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.yes infoproprietary syntaxnoyes infoJavayes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage enginenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID at shard levelnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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dBASEPlanetScaleSpark SQLSplice MachineTransbase
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