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DBMS > Apache Phoenix vs. atoti vs. Brytlyt vs. Microsoft Azure AI Search

System Properties Comparison Apache Phoenix vs. atoti vs. Brytlyt vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonatoti  Xexclude from comparisonBrytlyt  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitephoenix.apache.orgatoti.iobrytlyt.ioazure.microsoft.com/­en-us/­services/­search
Technical documentationphoenix.apache.orgdocs.atoti.iodocs.brytlyt.iolearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationActiveViamBrytlytMicrosoft
Initial release201420162015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20195.0, August 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++ and CUDA
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
hosted
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyesMultidimensional Expressions (MDX)yesno
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsPythonuser defined functions infoin PL/pgSQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesno
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 infousing Azure authentication

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More resources
Apache PhoenixatotiBrytlytMicrosoft Azure AI Search
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