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DBMS > IRONdb vs. Microsoft Azure Cosmos DB vs. Stardog

System Properties Comparison IRONdb vs. Microsoft Azure Cosmos DB vs. Stardog

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityGlobally distributed, horizontally scalable, multi-model database serviceEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#324  Overall
#28  Time Series DBMS
Score31.33
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.76
Rank#168  Overall
#13  Graph DBMS
#7  RDF stores
Websitewww.irondb.ioazure.microsoft.com/­services/­cosmos-dbwww.stardog.com
Technical documentationwww.irondb.io/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.stardog.com/­docs
DeveloperCirconus LLC.MicrosoftStardog-Union
Initial release201720142010
Current releaseV0.10.20, January 20186.2.3, July 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
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.
Implementation languageC and C++Java
Server operating systemsLinuxhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes 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.nono infoImport/export of XML data possible
Secondary indexesnoyes infoAll properties auto-indexed by defaultyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languageSPARQL is used as query language
APIs and other access methodsHTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes, in LuaJavaScriptuser defined functions and aggregates, HTTP Server extensions in Java
TriggersnoJavaScriptyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud serviceMaster-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID
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.noyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users and roles
More information provided by the system vendor
IRONdbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBStardog
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
Stardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
Stardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
Stardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Bosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
Stardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
A fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
IRONdbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBStardog
Recent citations in the news

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

Microsoft Announces General Availability of Jupyter Notebooks Support for Cosmos DB
8 October 2019, InfoQ.com

Azure Cosmos DB now has support for built-in Jupyter notebooks
1 October 2019, Neowin

How to use Jupyter Notebook and Apache Spark in Azure Cosmos DB - Microsoft
20 September 2019, Channel 9

NoSQL Databases Software Market Highlights by Major Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase.
15 October 2019, Global Market Release

provided by Google News

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