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DBMS > Apache Doris vs. dBASE vs. NSDb vs. Spark SQL

System Properties Comparison Apache Doris vs. dBASE vs. NSDb vs. Spark SQL

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisondBASE  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocoldBase 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, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.dbase.comnsdb.iospark.apache.org/­sql
Technical documentationgithub.com/­apache/­doris/­wikiwww.dbase.com/­support/­knowledgebasensdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation, originally contributed from BaiduAsthon TateApache Software Foundation
Initial release2017197920172014
Current release1.2.2, February 2023dBASE 2019, 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ScalaScala
Server operating systemsLinuxDOS infodBase Classic
Windows infodBase Pro
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesyesyesall fields are automatically indexedno
SQL infoSupport of SQLyesnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL client
none infoThe IDE can access other DBMS or ODBC-sources.gRPC
HTTP REST
WebSocket
JDBC
ODBC
Supported programming languagesJavadBase proprietary IDEJava
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsno infoThe IDE can access stored procedures in other database systems.nono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
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 DBMSnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesno

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More resources
Apache DorisdBASENSDbSpark SQL
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