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DBMS > Microsoft Azure Synapse Analytics vs. Teradata vs. Vitess vs. Yaacomo

System Properties Comparison Microsoft Azure Synapse Analytics vs. Teradata vs. Vitess vs. Yaacomo

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata  Xexclude from comparisonVitess  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA hybrid cloud data analytics software platform (Teradata Vantage)Scalable, distributed, cloud-native DBMS, extending MySQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.teradata.comvitess.ioyaacomo.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.teradata.comvitess.io/­docs
DeveloperMicrosoftTeradataThe Linux Foundation, PlanetScaleQ2WEB GmbH
Initial release2016198420132009
Current releaseTeradata Vantage 1.0 MU2, January 201915.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedhosted
Linux
Docker
Linux
macOS
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno
Secondary indexesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyesyes
SQL infoSupport of SQLyesyes infoSQL 2016 + extensionsyes infowith proprietary extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
Supported programming languagesC#
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Ada
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 proceduresTransact SQLyes infoUDFs, stored procedures, table functions in parallelyes infoproprietary syntax
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoHashingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradataVitessYaacomo
DB-Engines blog posts

Teradata is the most popular data warehouse DBMS
2 April 2013, Paul Andlinger

show all

Recent citations in the news

Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT | Amazon Web Services
18 October 2023, AWS Blog

Azure Synapse Runtime for Apache Spark 3.2 End of Support | Azure updates
22 March 2024, Microsoft

Azure Synapse Analytics: Everything you need to know about Microsoft's cloud analytics platform
24 September 2023, DataScientest

Azure Synapse vs. Databricks: Data Platform Comparison 2024
26 March 2024, eWeek

Azure Synapse Link for Cosmos DB: New Analytics Capabilities
10 November 2023, InfoQ.com

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Dimensional Fund Advisors LP Purchases 116489 Shares of Teradata Co. (NYSE:TDC)
26 May 2024, Defense World

Teradata takes plunge into lakehouse waters, but not everyone is convinced
23 May 2024, The Register

Director CHOU TIMOTHY C K Sells Shares of Teradata Corp (TDC)
22 May 2024, Yahoo Finance

6856 Shares in Teradata Co. (NYSE:TDC) Bought by Quest Partners LLC
26 May 2024, Defense World

Why Teradata Shares Dropped
24 May 2024, AOL

provided by Google News

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

PlanetScale grabs YouTube-developed open-source tech, promises Vitess DBaaS with on-the-fly schema changes
18 May 2021, The Register

Massively Scaling MySQL Using Vitess
19 February 2019, InfoQ.com

With Vitess 4.0, database vendor matures cloud-native platform
13 November 2019, TechTarget

PlanetScale Serves up Vitess-Powered Serverless MySQL
23 November 2021, The New Stack

provided by Google News



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