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Compare IBM Db2 Warehouse on Cloud vs. Microsoft Azure Synapse Analytics

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Top Review
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
542,721 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The performance is okay as long as the volume of queries is not too high."

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"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster.""The most valuable feature is the scalability.""The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range.""The features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs.""Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to.""The most valuable feature is the incremental load because we do not need to refresh the entire data on a daily basis.""The most valuable feature of the solution is the analytics and that it can connect with Power BI.""The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs."

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Cons
"Ultimately, the product itself has challenges and we are not currently satisfied with the support, either."

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"This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market.""It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill.""With respect to what needs to be improved, concurrent connectivity has some limitations.""I'm not entirely happy with the billing model. I'm not entirely happy with how the enterprise services are pretty expensive, but that's about it.""The configuration for things like high-availability could be more user-friendly for non-technical users.""I would like to see version control implemented into the data warehouse.""I would like my team to be able to build pipelines that integrate with the Azure Data Factory.""This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."

More Microsoft Azure Synapse Analytics Cons »

Pricing and Cost Advice
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"This solution starts at €1000.00 a month for just the basics and can go up to €300,000.00 per month for the fastest version.""When we are not using this solution we can simply shut it down saving us costs, which is a nice advantage.""The licensing fees for this solution are on a pay-per-use basis, and not very expensive.""All of the prices are available online.""Our license is very expensive""They are cost aggressive, and it integrates well with other Microsoft tools.""There is a cost calculator available online that allows you to input your entire scenario, and it will get back to you with information on what the costs are going to be.""Its price could be better. It was a school project, and I got it for free. If I try to pay through my company, it is a little bit more expensive as compared to Oracle."

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Questions from the Community
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Top Answer: If you are dealing with semi-structured data like json Snowflake has great support in handling and querying json data. it is also good to use as data lake and can act as one stop solution for a data… more »
Top Answer: Traditional ETL would usually use a dedicated database (or even database server) where you'll load & transform your raw data before ingesting it into the final destination. This would allow checking… more »
Top Answer: We've had a good experience with technical support in general.
Ranking
11th
Views
1,170
Comparisons
821
Reviews
1
Average Words per Review
379
Rating
5.0
2nd
Views
24,946
Comparisons
18,534
Reviews
35
Average Words per Review
544
Rating
7.9
Comparisons
Also Known As
IBM dashDB
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics
Learn More
Overview

IBM dashDB family offers private and public cloud database solutions for transactional and analytic workloads, with IBM fully managed or client managed options with a Common SQL engine across all deployment options.

Azure SQL Data Warehouse is a Fast, flexible, and secure analytics platform for the enterprise. Azure SQL Data Warehouse lets you independently scale compute and storage, while pausing and resuming your data warehouse within minutes through a massively parallel processing architecture designed for the cloud. Seamlessly create your hub for analytics along with native connectivity with data integration and visualization services, all while using your existing SQL and BI skills.

Offer
Learn more about IBM Db2 Warehouse on Cloud
Learn more about Microsoft Azure Synapse Analytics
Sample Customers
Copenhagen Business School, BPM Northwest, GameStop
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Top Industries
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider16%
Financial Services Firm12%
Insurance Company7%
REVIEWERS
Comms Service Provider18%
Computer Software Company18%
Manufacturing Company12%
Insurance Company12%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider17%
Financial Services Firm6%
Energy/Utilities Company6%
Company Size
No Data Available
REVIEWERS
Small Business30%
Midsize Enterprise23%
Large Enterprise47%
VISITORS READING REVIEWS
Small Business16%
Midsize Enterprise11%
Large Enterprise73%
Find out what your peers are saying about Snowflake Computing, Microsoft, Amazon and others in Cloud Data Warehouse. Updated: October 2021.
542,721 professionals have used our research since 2012.

IBM Db2 Warehouse on Cloud is ranked 11th in Cloud Data Warehouse with 1 review while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 35 reviews. IBM Db2 Warehouse on Cloud is rated 5.0, while Microsoft Azure Synapse Analytics is rated 8.0. The top reviewer of IBM Db2 Warehouse on Cloud writes "Good performance but poor scalability, and the technical support needs improvement". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". IBM Db2 Warehouse on Cloud is most compared with Snowflake, Amazon Redshift, IBM Netezza Performance Server, Oracle Exadata and VMware Tanzu Greenplum, whereas Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Apache Hadoop and Oracle Autonomous Data Warehouse.

See our list of best Cloud Data Warehouse vendors and best Data Warehouse vendors.

We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.