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DBMS > Amazon DocumentDB vs. Apache Impala vs. H2GIS vs. Realm

System Properties Comparison Amazon DocumentDB vs. Apache Impala vs. H2GIS vs. Realm

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Impala  Xexclude from comparisonH2GIS  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for HadoopSpatial extension of H2A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeRelational DBMSSpatial DBMSDocument store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score14.03
Rank#40  Overall
#24  Relational DBMS
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­documentdbimpala.apache.orgwww.h2gis.orgrealm.io
Technical documentationaws.amazon.com/­documentdb/­resourcesimpala.apache.org/­impala-docs.htmlwww.h2gis.org/­docs/­homerealm.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaCNRSRealm, acquired by MongoDB in May 2019
Initial release2019201320132014
Current release4.1.0, June 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoLGPL 3.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedLinuxAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBCJava.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes infobased on H2no inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyesyes infoChange Listeners
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 factoryes infobased on H2none
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.noyesyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infobased on H2yes

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Amazon DocumentDBApache ImpalaH2GISRealm
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