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DBMS > HBase vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. SAP Advantage Database Server

System Properties Comparison HBase vs. Heroic vs. Microsoft Azure Synapse Analytics vs. OpenQM vs. SAP Advantage Database Server

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerQpenQM is a high-performance, self-tuning, multi-value DBMSLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelWide column storeTime Series DBMSRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.33
Rank#286  Overall
#10  Multivalue DBMS
Websitehbase.apache.orggithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analyticswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.sap.com/products/advantage-database-server.html
Technical documentationhbase.apache.org/­book.htmlspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetSpotifyMicrosoftRocket Software, originally Martin PhillipsSybase, SAP
Initial release20082014201619931993
Current release2.3.4, January 20213.4-12
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0commercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
hostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Windows
Data schemeschema-free, schema definition possibleschema-freeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes
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.nononoyesno
Secondary indexesnoyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
PHP
.Net
Basic
C
Java
Objective C
PHP
Python
Delphi
Perl
PHP
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanoTransact SQLyesyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesyesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)noACIDACIDACID
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.yesnono infocaching of (temporary) tables can be configured
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
HBaseHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOpenQM infoalso called QMSAP Advantage Database Server infoformer name: Sybase ADS
DB-Engines blog posts

Cloudera's HBase PaaS offering now supports Complex Transactions
11 August 2021,  Krishna Maheshwari (sponsor) 

Why is Hadoop not listed in the DB-Engines Ranking?
13 May 2013, Paul Andlinger

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