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DBMS > dBASE vs. Heroic vs. Spark SQL vs. STSdb vs. VoltDB

System Properties Comparison dBASE vs. Heroic vs. Spark SQL vs. STSdb vs. VoltDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonHeroic  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonVoltDB  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSTime Series DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.dbase.comgithub.com/­spotify/­heroicspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.voltdb.com
Technical documentationwww.dbase.com/­support/­knowledgebasespotify.github.io/­heroicspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.com
DeveloperAsthon TateSpotifyApache Software FoundationSTS Soft SCVoltDB Inc.
Initial release19792014201420112010
Current releasedBASE 2019, 20193.5.0 ( 2.13), September 20234.0.8, September 201511.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC#Java, C++
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
WindowsLinux
OS X infofor development
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesyes infovia Elasticsearchnonoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsnoyes infoonly a subset of SQL 99
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
.NET Client APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesdBase proprietary IDEJava
Python
R
Scala
C#
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.nononoJava
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono infoFOREIGN KEY constraints are not supported
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 DBMSnononoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesnonoUsers and roles with access to stored procedures

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More resources
dBASEHeroicSpark SQLSTSdbVoltDB
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