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DBMS > Amazon DocumentDB vs. Databend vs. dBASE vs. JSqlDb vs. Splice Machine

System Properties Comparison Amazon DocumentDB vs. Databend vs. dBASE vs. JSqlDb vs. Splice Machine

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatabend  Xexclude from comparisondBASE  Xexclude from comparisonJSqlDb  Xexclude from comparisonSplice Machine  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn 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.JavaScript Query Language Database, stores JavaScript objects and primitivesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­datafuselabs/­databend
www.databend.com
www.dbase.comjsqldb.org (offline)splicemachine.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.databend.comwww.dbase.com/­support/­knowledgebasesplicemachine.com/­how-it-works
DeveloperDatabend LabsAsthon TateKonrad von BackstromSplice Machine
Initial release20192021197920182014
Current release1.0.59, April 2023dBASE 2019, 20190.8, December 20183.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava
Server operating systemshostedhosted
Linux
macOS
DOS infodBase Classic
Windows infodBase Pro
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
JDBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Rust
dBase proprietary IDEJavaScriptC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonono infoThe IDE can access stored procedures in other database systems.functions in JavaScriptyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnonenonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user rolesAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
Amazon DocumentDBDatabenddBASEJSqlDbSplice Machine
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