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DBMS > Apache Phoenix vs. Brytlyt vs. Firebase Realtime Database vs. JaguarDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Apache Phoenix vs. Brytlyt vs. Firebase Realtime Database vs. JaguarDB vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  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 HBaseScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Performant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Vector DBMS
Document 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
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitephoenix.apache.orgbrytlyt.iofirebase.google.com/­products/­realtime-databasewww.jaguardb.comazure.microsoft.com/­services/­cosmos-db
Technical documentationphoenix.apache.orgdocs.brytlyt.iofirebase.google.com/­docs/­databasewww.jaguardb.com/­support.htmllearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software FoundationBrytlytGoogle infoacquired by Google 2014DataJaguar, Inc.Microsoft
Initial release20142016201220152014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 20233.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hostedLinuxhosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLyesyesnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
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 functionsuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'noJavaScript
TriggersnoyesCallbacks are triggered when data changesnoJavaScript
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
Source-replica replicationMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesnoMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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-tenancyfine grained access rights according to SQL-standardyes, based on authentication and database rulesrights management via user accountsAccess rights can be defined down to the item level

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More resources
Apache PhoenixBrytlytFirebase Realtime DatabaseJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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