DB-EngineseXtremeDB reduces memory consumptionEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Phoenix vs. JaguarDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Phoenix vs. JaguarDB vs. Microsoft Azure Cosmos DB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBasePerformant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.61
Rank#92  Overall
#46  Relational DBMS
Score0.00
Rank#338  Overall
#60  Key-value stores
Score32.01
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitephoenix.apache.orgwww.datajaguar.comazure.microsoft.com/­services/­cosmos-db
Technical documentationphoenix.apache.orgwww.datajaguar.com/­support.phpdocs.microsoft.com/­azure/­cosmos-db
DeveloperApache Software FoundationDataJaguar, Inc.Microsoft
Initial release201420152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
Linuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nono
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methodsJDBCJDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresuser defined functionsnoJavaScript
TriggersnonoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partition
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.yesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyrights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
Apache PhoenixJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

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

The Apache Software Foundation Announces the 10th Anniversary of Apache® HBase™
13 May 2020, GlobeNewswire

Cloudera adds operational database to cloud service
17 September 2020, ZDNet

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Developing Python Applications Against Apache Phoenix (HBase)
30 September 2016, DZone News

Senior Software Engineer - Enterprise Data Warehouse
14 August 2020, eFinancialCareers

provided by Google News

Using Entity Framework Core with Azure SQL DB and Azure Cosmos DB | Azure Friday - Microsoft
23 October 2020, Channel 9

Global NoSQL Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
20 October 2020, TechnoWeekly

Global Document Databases Software Market Top Manufacturers Analysis by 2026: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
20 October 2020, TechnoWeekly

Global NoSQL Databases Software Market 2026 Prominent Key Players Operating : MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc.
21 October 2020, The Think Curiouser

Microsoft Announces a New Pricing Model Option for Azure Cosmos DB and More Capabilities
3 June 2020, InfoQ.com

provided by Google News

Job opportunities

Solutions Consultant
Cloudera, Georgia

Solutions Consultant
Cloudera, Pennsylvania

Solutions Architect
Cloudera, Texas

Manager Data Analytics and Insights
Generac Power Systems, Waukesha, WI

Solutions Architect
Cloudera, Georgia

Data Architect - Azure
Niyama Global, Remote

Azure Cosmos DB-Lead
Wipro LTD, Chevy Chase, MD

BigData, Spark, Azure Cloud Data Services
RV Soft, Omaha, NE

Azure Developer
technocrafts, Dallas, TX

Microsoft Azure DevOps Engineer
Baer Group, Manhattan, NY

jobs by Indeed




Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Astra logo

Cassandra made easy in the cloud. Build cloud-native applications faster with CQL, REST and GraphQL APIs.
Try for Free.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here