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DBMS > Hive vs. Hypertable vs. Interbase vs. Microsoft Azure Synapse Analytics vs. Trafodion

System Properties Comparison Hive vs. Hypertable vs. Interbase vs. Microsoft Azure Synapse Analytics vs. Trafodion

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHypertable  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTrafodion  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source BigTable implementation based on distributed file systems such as HadoopLight-weight proven RDBMS infooriginally from BorlandElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitehive.apache.orgwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­services/­synapse-analyticstrafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­azure/­synapse-analyticstrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by FacebookHypertable Inc.EmbarcaderoMicrosoftApache Software Foundation, originally developed by HP
Initial release20122009198420162014
Current release3.1.3, April 20220.9.8.11, March 2016InterBase 2020, December 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++CC++C++, Java
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Android
iOS
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.no infoexport as XML data possiblenono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
C++ API
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoInterbase procedure and trigger languageTransact SQLJava Stored Procedures
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelInterbase Change Viewsyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
HiveHypertableInterbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrafodion
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