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

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

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTrafodion  Xexclude from comparisonVitess  Xexclude from comparison
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 HadoopLight-weight proven RDBMS infooriginally from BorlandElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerTransactional SQL-on-Hadoop DBMSScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitehive.apache.orgwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­services/­synapse-analyticstrafodion.apache.orgvitess.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­azure/­synapse-analyticstrafodion.apache.org/­documentation.htmlvitess.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookEmbarcaderoMicrosoftApache Software Foundation, originally developed by HPThe Linux Foundation, PlanetScale
Initial release20121984201620142013
Current release3.1.3, April 2022InterBase 2020, December 20192.3.0, February 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageJavaCC++C++, JavaGo
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
hostedLinuxDocker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageTransact SQLJava Stored Proceduresyes infoproprietary syntax
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorInterbase Change Viewsyesyes, via HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
HiveInterbaseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTrafodionVitess
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