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DBMS > Apache Phoenix vs. Manticore Search vs. Microsoft Azure SQL Database vs. Yanza

System Properties Comparison Apache Phoenix vs. Manticore Search vs. Microsoft Azure SQL Database vs. Yanza

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseMulti-storage database for search, including full-text search.Database as a Service offering with high compatibility to Microsoft SQL ServerTime Series DBMS for IoT Applications
Primary database modelRelational DBMSSearch engineRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitephoenix.apache.orgmanticoresearch.comazure.microsoft.com/­en-us/­products/­azure-sql/­databaseyanza.com
Technical documentationphoenix.apache.orgmanual.manticoresearch.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software FoundationManticore SoftwareMicrosoftYanza
Initial release2014201720102015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20196.0, February 2023V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL version 2commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonoyesno infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsLinux
Unix
Windows
FreeBSD
Linux
macOS
Windows
hostedWindows
Data schemeyes infolate-bound, schema-on-read capabilitiesFixed schemayesschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesno
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.noCan index from XMLyesno
Secondary indexesyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsJDBCBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsTransact SQLno
Triggersnonoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication based on Galera libraryyes, with always 3 replicas availablenone
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 integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardno

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More resources
Apache PhoenixManticore SearchMicrosoft Azure SQL Database infoformerly SQL AzureYanza
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