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DBMS > Badger vs. Microsoft Azure Cosmos DB vs. Rockset vs. Stardog

System Properties Comparison Badger vs. Microsoft Azure Cosmos DB vs. Rockset vs. Stardog

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRockset  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Globally distributed, horizontally scalable, multi-model database serviceA scalable, reliable search and analytics service in the cloud, built on RocksDBEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Document storeGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#315  Overall
#46  Key-value stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.01
Rank#201  Overall
#35  Document stores
Score2.03
Rank#136  Overall
#12  Graph DBMS
#6  RDF stores
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­services/­cosmos-dbrockset.comwww.stardog.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerlearn.microsoft.com/­azure/­cosmos-dbdocs.rockset.comdocs.stardog.com
DeveloperDGraph LabsMicrosoftRocksetStardog-Union
Initial release2017201420192010
Current release7.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial 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 servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or datenoyes infoJSON typesdynamic typingyes
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 infoingestion from XML files supportedno infoImport/export of XML data possible
Secondary indexesnoyes infoAll properties auto-indexed by defaultall fields are automatically indexedyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries, including JOINsYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP RESTGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesGo.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptnouser defined functions and aggregates, HTTP Server extensions in Java
TriggersnoJavaScriptnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionnoACID
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.noyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users and organizations can be defined via Rockset consoleAccess rights for users and roles

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More resources
BadgerMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksetStardog
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