Compare IBM Db2 Warehouse vs. Microsoft Azure Synapse Analytics

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Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Oracle, Micro Focus and others in Data Warehouse. Updated: July 2021.
523,535 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
"Some of the best features are stored procedures, parallelism, and different indexing strategies.""I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well."

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"The most valuable features are the flexibility and that it's easy to use as an end-user compared to AWS.""The initial setup was really easy and straightforward.""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."

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Cons
"The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting.""The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years."

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"The initial setup process needs improvement. When you're moving to the cloud it takes a bit of time. It would be great if they could implement something that would make it faster.""It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database.""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."

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Pricing and Cost Advice
"In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."

More IBM Db2 Warehouse Pricing and Cost Advice »

"The pricing is okay. You can pay as you go.""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."

More Microsoft Azure Synapse Analytics Pricing and Cost Advice »

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Questions from the Community
Top Answer: Some of the best features are stored procedures, parallelism, and different indexing strategies.
Top Answer: In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side.
Top Answer: The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting.
Top Answer: The features most valuable are the simplicity, how easy it is to create a dashboard from different information systems.
Top Answer: The type of license depends on what you want. This is a perpetual and monthly license, similar to Office 365. My company pays for the license and I am not sure about the price. Sometimes my company… more »
Top Answer: Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple… more »
Ranking
16th
out of 30 in Data Warehouse
Views
335
Comparisons
246
Reviews
2
Average Words per Review
468
Rating
8.0
2nd
Views
22,971
Comparisons
17,256
Reviews
34
Average Words per Review
538
Rating
7.9
Popular Comparisons
Also Known As
InfoSphere Warehouse, IBM InfoSphere Warehouse
Azure Synapse Analytics, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DW, Azure SQL Data Warehouse, MS Azure Synapse Analytics, MS Azure Synapse Analytics, MS Azure Synapse Analytics
Learn More
Overview
InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.

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
Learn more about Microsoft Azure Synapse Analytics
Sample Customers
Alameda County Social Services Agency, Sui Southern Gas Company Limited
Toshiba, Carnival, LG Electronics, Jet.com, Adobe, 
Top Industries
VISITORS READING REVIEWS
Computer Software Company23%
Comms Service Provider23%
Financial Services Firm13%
Energy/Utilities Company11%
REVIEWERS
Comms Service Provider19%
Computer Software Company19%
Manufacturing Company13%
Insurance Company13%
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider18%
Energy/Utilities Company7%
Financial Services Firm6%
Company Size
No Data Available
REVIEWERS
Small Business28%
Midsize Enterprise23%
Large Enterprise49%
VISITORS READING REVIEWS
Small Business13%
Midsize Enterprise13%
Large Enterprise74%
Find out what your peers are saying about Snowflake Computing, Oracle, Micro Focus and others in Data Warehouse. Updated: July 2021.
523,535 professionals have used our research since 2012.

IBM Db2 Warehouse is ranked 16th in Data Warehouse with 2 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 34 reviews. IBM Db2 Warehouse is rated 8.0, while Microsoft Azure Synapse Analytics is rated 8.0. The top reviewer of IBM Db2 Warehouse writes "If you have good people designing how the data is stored, this is a marvelous tool". 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 is most compared with Oracle Exadata, Oracle Autonomous Data Warehouse, Teradata, Apache Hadoop and Microsoft Parallel Data Warehouse, whereas Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Apache Hadoop and Oracle Autonomous Data Warehouse.

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We monitor all 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.