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DBMS > Amazon DocumentDB vs. OpenSearch vs. Riak TS vs. SAP HANA

System Properties Comparison Amazon DocumentDB vs. OpenSearch vs. Riak TS vs. SAP HANA

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonOpenSearch  Xexclude from comparisonRiak TS  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVIn-memory, column based data store. Available as appliance or cloud service
Primary database modelDocument storeSearch engineTime Series DBMSRelational DBMS
Secondary database modelsVector DBMSDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score16.31
Rank#36  Overall
#4  Search engines
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score41.32
Rank#23  Overall
#16  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­opensearch-project
opensearch.org
www.sap.com/­products/­hana.html
Technical documentationaws.amazon.com/­documentdb/­resourcesopensearch.org/­docs/­latestwww.tiot.jp/­riak-docs/­riak/­ts/­latesthelp.sap.com/­hana
DeveloperAmazon Web ServicesOpen Source, formerly Basho TechnologiesSAP
Initial release2019202120152010
Current release2.5.0, January 20233.0.0, September 20222.0 SPS07 (April 4, 2023), April 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageJavaErlang
Server operating systemshostedAll OS with a Java VMLinux
OS X
Appliance or cloud-service
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedrestrictedyes
SQL infoSupport of SQLnoSQL-like query languageyes, limitedyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesErlangSQLScript, R
Triggersnoyes infoby using the 'percolation' featureyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACID
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.yes
User concepts infoAccess controlAccess rights for users and rolesnoyes
More information provided by the system vendor
Amazon DocumentDBOpenSearchRiak TSSAP HANA
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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More resources
Amazon DocumentDBOpenSearchRiak TSSAP HANA
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