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DBMS > Apache Phoenix vs. Heroic vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. Solr

System Properties Comparison Apache Phoenix vs. Heroic vs. HyperSQL vs. Microsoft Azure Synapse Analytics vs. Solr

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitephoenix.apache.orggithub.com/­spotify/­heroichsqldb.orgazure.microsoft.com/­services/­synapse-analyticssolr.apache.org
Technical documentationphoenix.apache.orgspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmldocs.microsoft.com/­azure/­synapse-analyticssolr.apache.org/­resources.html
DeveloperApache Software FoundationSpotifyMicrosoftApache Software Foundation
Initial release20142014200120162006
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.2, June 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infobased on BSD licensecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++Java
Server operating systemsLinux
Unix
Windows
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes infosupports customizable data types and automatic typing
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.nonononoyes
Secondary indexesyesyes infovia Elasticsearchyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoyesyesSolr Parallel SQL Interface
APIs and other access methodsJDBCHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Java
C#
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoJava, SQLTransact SQLJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
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.yesnoyesyes
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-standardyesyes

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More resources
Apache PhoenixHeroicHyperSQL infoalso known as HSQLDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSolr
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