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DBMS > Datastax Enterprise vs. Microsoft Azure SQL Data Warehouse vs. Teradata

System Properties Comparison Datastax Enterprise vs. Microsoft Azure SQL Data Warehouse vs. Teradata

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
Document store
Graph DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.42
Rank#49  Overall
#4  Wide column stores
Score8.61
Rank#47  Overall
#28  Relational DBMS
Score75.79
Rank#14  Overall
#9  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­sql-data-warehousewww.teradata.com
Technical documentationdocs.datastax.comdocs.microsoft.com/­azure/­sql-data-warehousedocs.teradata.com
DeveloperDataStaxMicrosoftTeradata
Initial release201120161984
Current release6.8, April 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
hostedhosted
Linux
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesyes infoSQL 2016 + extensions
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnoTransact SQLyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding, horizontal partitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per objectyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Datastax EnterpriseMicrosoft Azure SQL Data WarehouseTeradata
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Datastax EnterpriseMicrosoft Azure SQL Data WarehouseTeradata
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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

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Recent citations in the news

DataStax Enterprise 6.8 Advances Cloud-Native Data and Bare-Metal Performance
7 April 2020, Business Wire

DataStax Enterprise 6.8: Advanced cloud-native data and bare-metal performance
9 April 2020, Help Net Security

Apache Cassandra indexing without having to say I'm sorry
23 October 2020, SDTimes.com

Datastax Launches Tech Support for Open Source Cassandra
17 December 2019, Datanami

DataStax Unveils Vector: AIOps for Apache Cassandra
16 June 2020, Business Wire

provided by Google News

Microsoft Azure Synapse Aims to Ease Data Collaboration With Latest Features
9 October 2020, CMSWire

High-Performance Cloud Data Warehouse Performance Testing
13 October 2020, Gigaom

Snowflake: An Enormous Opportunity
30 October 2020, Seeking Alpha

Azure Synapse Analytics combines data warehouse, lake and pipelines
4 November 2019, ZDNet

A closer look at Microsoft Azure Synapse Analytics
14 April 2020, ZDNet

provided by Google News

Teradata Stock Has More Than 20% Upside
30 October 2020, Forbes

Earnings Preview: Teradata (TDC) Q3 Earnings Expected to Decline
29 October 2020, Nasdaq

Teradata Vantage Now Available on Google Cloud
6 October 2020, Business Wire

Teradata Vantage is Now Available on Google Cloud
6 October 2020, Database Trends and Applications

Farmer School team wins 2020 Teradata Analytics Challenge
15 October 2020, The Miami Student

provided by Google News

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