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DBMS > Databend vs. dBASE vs. HEAVY.AI vs. Sequoiadb

System Properties Comparison Databend vs. dBASE vs. HEAVY.AI vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisondBASE  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSequoiadb  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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.sequoiadb.com
Technical documentationdocs.databend.comwww.dbase.com/­support/­knowledgebasedocs.heavy.aiwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabend LabsAsthon TateHEAVY.AI, Inc.Sequoiadb Ltd.
Initial release2021197920162013
Current release1.0.59, April 2023dBASE 2019, 20195.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++ and CUDAC++
Server operating systemshosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
LinuxLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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 SQLyesnoyesSQL-like query language
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
ODBC
Thrift
Vega
proprietary protocol using JSON
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnono infoThe IDE can access stored procedures in other database systems.noJavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual 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 DBMSnoDocument is locked during a transaction
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesfine grained access rights according to SQL-standardsimple password-based access control

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More resources
DatabenddBASEHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Sequoiadb
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