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

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

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A high performant, light-weight, embedded key-value database libraryGlobally distributed, horizontally scalable, multi-model database service
Primary database modelObject oriented DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#233  Overall
#11  Object oriented DBMS
Score2.99
Rank#110  Overall
#21  Key-value stores
Score36.10
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.atoti.iowww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.microsoft.com/­azure/­cosmos-db
DeveloperActiveViamSymasMicrosoft
Initial release20112014
Current release0.9.29, March 2021
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemshosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infoJSON types
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 default
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query language
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresPythonnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith 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
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item level

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More resources
atotiLMDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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