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DBMS > Amazon DocumentDB vs. Apache Impala vs. JSqlDb vs. SQL.JS

System Properties Comparison Amazon DocumentDB vs. Apache Impala vs. JSqlDb vs. SQL.JS

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Impala  Xexclude from comparisonJSqlDb  Xexclude from comparisonSQL.JS  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 serviceAnalytic DBMS for HadoopJavaScript Query Language Database, stores JavaScript objects and primitivesPort of SQLite to JavaScript
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteaws.amazon.com/­documentdbimpala.apache.orgjsqldb.org (offline)sql.js.org
Technical documentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmlsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaKonrad von BackstromAlon Zakai infoenhancements implemented by others
Initial release2019201320182012
Current release4.1.0, June 20220.8, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScript
Server operating systemshostedLinuxLinux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes infoSQL-92 is not fully supported
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
JavaScript API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCJavaScriptJavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducefunctions in JavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDBno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
Amazon DocumentDBApache ImpalaJSqlDbSQL.JS
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