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DBMS > LMDB vs. Microsoft Azure Cosmos DB vs. OpenSearch

System Properties Comparison LMDB vs. Microsoft Azure Cosmos DB vs. OpenSearch

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOpenSearch  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryGlobally distributed, horizontally scalable, multi-model database serviceA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
Secondary database modelsSpatial DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#120  Overall
#20  Key-value stores
Score24.97
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score16.31
Rank#36  Overall
#4  Search engines
Websitewww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­cosmos-dbgithub.com/­opensearch-project
opensearch.org
Technical documentationwww.lmdb.tech/­doclearn.microsoft.com/­azure/­cosmos-dbopensearch.org/­docs/­latest
DeveloperSymasMicrosoftAmazon Web Services
Initial release201120142021
Current release0.9.32, January 20242.5.0, January 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
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 languageCJava
Server operating systemsLinux
Unix
Windows
hostedAll OS with a Java VM
Data schemeschema-freeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyes infoJSON typesyes
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.no
Secondary indexesnoyes infoAll properties auto-indexed by defaultyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
Server-side scripts infoStored proceduresnoJavaScriptyes
TriggersnoJavaScriptyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlnoAccess rights can be defined down to the item level
More information provided by the system vendor
LMDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOpenSearch
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
LMDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOpenSearch
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