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DBMS > Apache Phoenix vs. Microsoft Azure SQL Database vs. RisingWave

System Properties Comparison Apache Phoenix vs. Microsoft Azure SQL Database vs. RisingWave

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRisingWave  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.82
Rank#124  Overall
#60  Relational DBMS
Score75.45
Rank#17  Overall
#12  Relational DBMS
Score0.75
Rank#214  Overall
#101  Relational DBMS
Websitephoenix.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.risingwave.com/­database
Technical documentationphoenix.apache.orgdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.risingwave.com/­docs/­current/­intro
DeveloperApache Software FoundationMicrosoftRisingWave Labs
Initial release201420102022
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019V121.2, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Rust
Server operating systemsLinux
Unix
Windows
hostedDocker
Linux
macOS
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyes
Typing infopredefined data types such as float or dateyesyesStandard SQL-types and JSON
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsTransact SQLUDFs in Python or Java
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual 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
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.yesyes
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-standardUsers and Roles

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More resources
Apache PhoenixMicrosoft Azure SQL Database infoformerly SQL AzureRisingWave
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Recent citations in the news

Bridge the SQL-NoSQL gap with Apache Phoenix
9 July 2024, InfoWorld

Supercharge SQL on Your Data in Apache HBase with Apache Phoenix
2 June 2016, Amazon Web Services

Azure #HDInsight Apache Phoenix now supports Zeppelin
16 August 2018, Microsoft Azure

Hortonworks Starts Hadoop Summit with Data Platform Update
28 June 2016, ADTmag

Amazon EMR 4.7.0 – Apache Tez & Phoenix, Updates to Existing Apps
2 June 2016, Amazon Web Services

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10 January 2025, Amazon Web Services

Native Vector Support in Azure SQL Database in Public Preview
16 November 2024, infoq.com

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