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

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

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonDragonfly  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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSpark 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 DBMSKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
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.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
spark.apache.org/­sqlsplicemachine.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.dbase.com/­support/­knowledgebasewww.dragonflydb.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsplicemachine.com/­how-it-workswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAsthon TateDragonflyDB team and community contributorsApache Software FoundationSplice MachineTransaction Software GmbH
Initial release19792023201420141987
Current releasedBASE 2019, 20191.0, March 20233.5.0 ( 2.13), September 20233.1, March 2021Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ScalaJavaC and C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
LinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesscheme-freeyesyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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.nonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesdBase proprietary IDEC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
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.Luanoyes infoJavayes
Triggersnopublish/subscribe channels provide some trigger functionalitynoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationnoneMulti-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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
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 DBMSAtomic execution of command blocks and scriptsnoACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes, 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 rolesPassword-based authenticationnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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dBASEDragonflySpark SQLSplice MachineTransbase
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