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

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

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisondBASE  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonVoltDB  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 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 DBMSRelational DBMSRelational DBMSKey-value storeRelational 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
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.voltdb.com
Technical documentationdocs.databend.comwww.dbase.com/­support/­knowledgebasespark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.com
DeveloperDatabend LabsAsthon TateApache Software FoundationSTS Soft SCVoltDB Inc.
Initial release20211979201420112010
Current release1.0.59, April 2023dBASE 2019, 20193.5.0 ( 2.13), September 20234.0.8, September 201511.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen 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 languageRustScalaC#Java, C++
Server operating systemshosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
Linux
OS X
Windows
WindowsLinux
OS X infofor development
Data schemeyesyesyesyesyes
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 indexesnoyesnonoyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnoyes infoonly a subset of SQL 99
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
.NET Client APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEJava
Python
R
Scala
C#
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.nonoJava
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesnonono infoFOREIGN KEY constraints are not supported
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 DBMSnonoACID 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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesnonoUsers and roles with access to stored procedures

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More resources
DatabenddBASESpark SQLSTSdbVoltDB
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