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DBMS > Drizzle vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Teradata vs. Trafodion

System Properties Comparison Drizzle vs. Microsoft Azure Synapse Analytics vs. ObjectBox vs. Teradata vs. Trafodion

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparisonTrafodion  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticsobjectbox.iowww.teradata.comtrafodion.apache.org
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.iodocs.teradata.comtrafodion.apache.org/­documentation.html
DeveloperDrizzle project, originally started by Brian AkerMicrosoftObjectBox LimitedTeradataApache Software Foundation, originally developed by HP
Initial release20082016201719842014
Current release7.2.4, September 2012Teradata Vantage 1.0 MU2, January 20192.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C and C++C++, Java
Server operating systemsFreeBSD
Linux
OS X
hostedAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Linux
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.nonoyesno
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C#
Java
PHP
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoTransact SQLnoyes infoUDFs, stored procedures, table functions in parallelJava Stored Procedures
Triggersno infohooks for callbacks inside the server can be used.nonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnoneSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
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.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPyesyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxTeradataTrafodion
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More resources
DrizzleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseObjectBoxTeradataTrafodion
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