DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > EJDB vs. Hyprcubd vs. Microsoft Azure Cosmos DB

System Properties Comparison EJDB vs. Hyprcubd vs. Microsoft Azure Cosmos DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Serverless Time Series DBMSGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeTime 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
Score0.11
Rank#339  Overall
#47  Document stores
Score22.55
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Websitegithub.com/­Softmotions/­ejdbhyprcubd.com (offline)azure.microsoft.com/­services/­cosmos-db
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdlearn.microsoft.com/­azure/­cosmos-db
DeveloperSoftmotionsHyprcubd, Inc.Microsoft
Initial release20122014
License infoCommercial or Open SourceOpen Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGo
Server operating systemsserver-lesshostedhosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyes infotime, int, uint, float, stringyes 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 indexesnonoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsin-process shared librarygRPC (https)DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoJavaScript
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingnoyes
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.no
User concepts infoAccess controlnotoken accessAccess rights can be defined down to the item level

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

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

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft Azure

Microsoft Announces General Availability of Data API Builder for Azure Cosmos DB
6 July 2024, infoq.com

How to use Azure Cosmos DB in .Net
10 July 2024, InfoWorld

Microsoft’s new DocumentDB rethinks NoSQL on PostgreSQL
30 January 2025, InfoWorld

Share.Market redefines the investment experience with Microsoft Azure
13 September 2024, Microsoft

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here