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DBMS > Heroic vs. Microsoft Azure Cosmos DB

System Properties Comparison Heroic vs. Microsoft Azure Cosmos DB

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Our visitors often compare Heroic and Microsoft Azure Cosmos DB with InfluxDB, Cassandra and ScyllaDB.

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchGlobally distributed, horizontally scalable, multi-model database service
Primary database modelTime Series DBMSDocument 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
Score0.10
Rank#311  Overall
#27  Time Series DBMS
Score38.52
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitespotify.github.io/­heroic/­#!/­indexazure.microsoft.com/­services/­cosmos-db
Technical documentationspotify.github.io/­heroic/­#!/­docs/­overviewdocs.microsoft.com/­azure/­cosmos-db
DeveloperSpotifyMicrosoft
Initial release20142014
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes 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 indexesyes infovia Elasticsearchyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
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 systemEventual Consistency
Immediate Consistency
Bounded 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 datanoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlAccess rights can be defined down to the item level

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More resources
HeroicMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

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