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DBMS > Apache Phoenix vs. Brytlyt vs. JaguarDB vs. Microsoft Azure Cosmos DB vs. Warp 10

System Properties Comparison Apache Phoenix vs. Brytlyt vs. JaguarDB vs. Microsoft Azure Cosmos DB vs. Warp 10

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBrytlyt  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonWarp 10  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 PostgreSQLPerformant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database serviceTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSKey-value store
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
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
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
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitephoenix.apache.orgbrytlyt.iowww.jaguardb.comazure.microsoft.com/­services/­cosmos-dbwww.warp10.io
Technical documentationphoenix.apache.orgdocs.brytlyt.iowww.jaguardb.com/­support.htmllearn.microsoft.com/­azure/­cosmos-dbwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationBrytlytDataJaguar, Inc.MicrosoftSenX
Initial release20142016201520142015
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 2.0commercialOpen Source infoGPL V3.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++ and CUDAC++ infothe server part. Clients available in other languagesJava
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
LinuxhostedLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query languageno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
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/pgSQLnoJavaScriptyes infoWarpScript
TriggersnoyesnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infobased on HBase
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 serviceselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoMulti-item ACID transactions with snapshot isolation within a partitionno
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.yesnoyes
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-standardrights management via user accountsAccess rights can be defined down to the item levelMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache PhoenixBrytlytJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBWarp 10
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