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Azure Synapse Analytics (Azure SQL Data Warehouse) Reviews

15 Ratings
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Score 8.4 out of 100

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Reviews (1-4 of 4)

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November 07, 2020

Effective tool for relational data

Prabhu Sundararaj | TrustRadius Reviewer
Prabhu Sundararaj
Score 8 out of 10
Vetted Review
Verified User
Review Source

Pros and Cons

  • Massively parallel processing system reduces the bottleneck while loading the data from the source
  • Dynamic data masking helps us to secure the data
  • Automated indexing and alerts help us to rectify issues before they reach the business
  • Limited T-SQL query library
  • It is not suitable for OLTP environment
  • Doesn't support cross-database queries
Read Prabhu Sundararaj's full review
September 18, 2019

Impacts of SQL data warehouses

Anonymous | TrustRadius Reviewer
Verified User
Score 9 out of 10
Vetted Review
Verified User
Review Source

Pros and Cons

  • Easy to manage and support a wide variety of data types.
  • High Performance and throughput.
  • Reduced latency time.
  • Easy to manage objects.
  • Automated query tuning.
  • Better indexing methods.
Read this authenticated review
July 22, 2016

SQL Data Warehouse- everything you need to know

Samir Patel, PMP | TrustRadius Reviewer
Samir Patel, PMP
Score 9 out of 10
Vetted Review
Verified User
Review Source

Pros and Cons

  • It is very cost-effective
  • Development time needed was much less in comparison to other systems
  • Played very nicely with our ETL and OLAP reporting tools
  • More features would be a plus
  • I would like to see Microsoft offer some diagramming tools for data warehouse
  • I believe processing time and speed could always be improved
Read Samir Patel, PMP's full review
July 15, 2016

Better than querying off your OLTP

Anonymous | TrustRadius Reviewer
Verified User
Score 9 out of 10
Vetted Review
Verified User
Review Source

Pros and Cons

  • 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.
  • It takes some time to setup a proper SQL Datawarehouse architecture. Without proper SSIS/automation scripts, this can be a very daunting task.
  • It takes a lot of foresight when designing a Data Warehouse. If not properly designed, it can be very troublesome to use and/or modify later on.
  • It takes a lot of effort to maintain. Businesses are continually changing. With that, a full time staff member or more will be required to maintain the SQL Data Warehouse.
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Azure Synapse Analytics (Azure SQL Data Warehouse) Scorecard Summary

Likelihood to Recommend (15)
8.4
Usability (1)
8.0
Support Rating (3)
8.1

What is Azure Synapse Analytics (Azure SQL Data Warehouse)?

Azure Synapse Analytics is described as the former Azure SQL Data Warehouse, evolved, and as a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives users the freedom to query data using either serverless or provisioned resources, at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.
Categories:  Data Warehouse

Azure Synapse Analytics (Azure SQL Data Warehouse) Technical Details

Operating Systems: Unspecified
Mobile Application:No