32 Ratings
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Score 8.3 out of 100
179 Ratings
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Score 8.7 out of 100

Attribute Ratings

  • Azure Synapse Analytics (Azure SQL Data Warehouse) is rated higher in 1 area: Support Rating
  • Amazon Redshift is rated higher in 2 areas: Likelihood to Recommend, Usability
  • Azure Synapse Analytics (Azure SQL Data Warehouse) and Amazon Redshift are tied in 1 area: Contract Terms and Pricing Model

Likelihood to Recommend

8.8

Azure Synapse Analytics (Azure SQL Data Warehouse)

88%
8 Ratings
9.2

Amazon Redshift

92%
34 Ratings

Usability

9.5

Azure Synapse Analytics (Azure SQL Data Warehouse)

95%
2 Ratings
10.0

Amazon Redshift

100%
9 Ratings

Support Rating

9.5

Azure Synapse Analytics (Azure SQL Data Warehouse)

95%
2 Ratings
9.1

Amazon Redshift

91%
12 Ratings

Contract Terms and Pricing Model

10.0

Azure Synapse Analytics (Azure SQL Data Warehouse)

100%
1 Rating
10.0

Amazon Redshift

100%
1 Rating

Likelihood to Recommend

Azure Synapse Analytics (Azure SQL Data Warehouse)

In terms of a well-suited scenario - the Azure Synapse can be used to capture data from multiple sources (especially from onPrem sources apart from Dataverse) and update the transformed data based on the given conditions (eg: refresh data based on the specified date/time ranges). Also, the transformed data can simply be transferred to Azure Data Lake for further processing by utilizing other analytics tools such as PowerBI.
Anonymous | TrustRadius Reviewer

Amazon Redshift

If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Arthur Zubarev | TrustRadius Reviewer

Pros

Azure Synapse Analytics (Azure SQL Data Warehouse)

  • Quick to return data. Queries in a SQL data warehouse architecture tend to return data much more quickly than a OLTP setup. Especially with columnar indexes.
  • Ability to manage extremely large SQL tables. Our databases contain billions of records. This would be unwieldy without a proper SQL datawarehouse
  • Backup and replication. Because we're already using SQL, moving the data to a datawarehouse makes it easier to manage as our users are already familiar with SQL.
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
  • [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
  • [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
  • [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Narayan Motamarri | TrustRadius Reviewer

Cons

Azure Synapse Analytics (Azure SQL Data Warehouse)

  • Integrating external 3rd party data sources is very easy in Snowflake and it’s missing in Azure Synapse
  • Master data services and data quality services are missing in Azure Synapse. They are useful features present in on Orem Sql server
  • Resource usage reports (top 10 expensive queries, most frequently run queries, etc) are a feature that can be added in Azure Synapse. It’s present in an on-prem SQL server. DMVs are there but viewing it visually as a report is more helpful.
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
  • Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
  • Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Gavin Hackeling | TrustRadius Reviewer

Pricing Details

Azure Synapse Analytics (Azure SQL Data Warehouse)

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

Azure Synapse Analytics (Azure SQL Data Warehouse) Editions & Modules

Additional Pricing Details

Amazon Redshift

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Starting Price

$0 per hour

Amazon Redshift Editions & Modules

Edition
Current Generation$0.25 - $13.041
Previous Generation$0.25 - $4.081
Redshift Spectrum$5.002
Redshift Managed Storage$0.243
  1. per hour
  2. per terabyte of data scanned
  3. per GB per month
Additional Pricing Details

Usability

Azure Synapse Analytics (Azure SQL Data Warehouse)

Azure Synapse Analytics (Azure SQL Data Warehouse) 9.5
Based on 2 answers
The data warehouse portion is very much like old style on-prem SQL server, so most SQL skills one has mastered carry over easily. Azure Data Factory has an easy drag and drop system which allows quick building of pipelines with minimal coding. The Spark portion is the only really complex portion, but if there's an in-house python expert, then the Spark portion is also quiet useable.
Anonymous | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 10.0
Based on 9 answers
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Brendan McKenna | TrustRadius Reviewer

Support Rating

Azure Synapse Analytics (Azure SQL Data Warehouse)

Azure Synapse Analytics (Azure SQL Data Warehouse) 9.5
Based on 2 answers
Microsoft does its best to support Synapse. More and more articles are being added to the documentation, providing more useful information on best utilizing its features. The examples provided work well for basic knowledge, but more complex examples should be added to further assist in discovering the vast abilities that the system has.
Anonymous | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 9.1
Based on 12 answers
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support
Anonymous | TrustRadius Reviewer

Alternatives Considered

Azure Synapse Analytics (Azure SQL Data Warehouse)

We also looked at Oracle Data Warehouse as part of our short list of products to implement as a solution. Oracle's product turned out to have less support by way of easily accessible internet blogs. Oracle was also considerably more expensive and we would have needed to hire the skillset needed to implement.
Samir Patel, PMP | TrustRadius Reviewer

Amazon Redshift

Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Anonymous | TrustRadius Reviewer

Contract Terms and Pricing Model

Azure Synapse Analytics (Azure SQL Data Warehouse)

Azure Synapse Analytics (Azure SQL Data Warehouse) 10.0
Based on 1 answer
Basically, the billing is predictable, and this all about it.
Vladimír Mužný | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 10.0
Based on 1 answer
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
Sameera Srivastava | TrustRadius Reviewer

Return on Investment

Azure Synapse Analytics (Azure SQL Data Warehouse)

  • Azure Synapse has predominately reduced the time being used for processing data being extracted from multiple sources
  • Ability to integrate multiple data sources and create a single dataset that could be used for further analytics to find KPIs
Anonymous | TrustRadius Reviewer

Amazon Redshift

  • Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
  • Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
  • Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
Michael Romm | TrustRadius Reviewer

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