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DBMS > Databend vs. dBASE vs. Spark SQL vs. VelocityDB

System Properties Comparison Databend vs. dBASE vs. Spark SQL vs. VelocityDB

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisondBASE  Xexclude from comparisonSpark SQL  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitydBase 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.Spark SQL is a component on top of 'Spark Core' for structured data processingA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comspark.apache.org/­sqlvelocitydb.com
Technical documentationdocs.databend.comwww.dbase.com/­support/­knowledgebasespark.apache.org/­docs/­latest/­sql-programming-guide.htmlvelocitydb.com/­UserGuide
DeveloperDatabend LabsAsthon TateApache Software FoundationVelocityDB Inc
Initial release2021197920142011
Current release1.0.59, April 2023dBASE 2019, 20193.5.0 ( 2.13), September 20237.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustScalaC#
Server operating systemshosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
Any that supports .NET
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesnoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
.Net
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEJava
Python
R
Scala
.Net
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nono
TriggersnononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark CoreSharding
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesnoBased on Windows Authentication

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DatabenddBASESpark SQLVelocityDB
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