Compare IBM Integrated Analytics System vs. Snowflake

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IBM Integrated Analytics System Logo
381 views|308 comparisons
Snowflake Logo
34,806 views|24,549 comparisons
Most Helpful Review
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: May 2021.
501,499 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:

Pricing and Cost Advice
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"Pricing can be confusing for customers.""The whole licensing system is based on credit points. You can also make a license agreement with the company so that you buy credit points and then you use them. What you do not use in one year can be carried over to the next year.""You pay based on the data that you are storing in the data warehouse and there are no maintenance costs.""It is not cheap.""The pricing for Snowflake is competitive.""On average, with the number of queries that we run, we pay approximately $200 USD per month.""Pricing is approximately $US 50 per DB. Terabyte is around $US 50 per month.""The price of Snowflake is very reasonable."

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Top Answer: Many features: 1) Separate warehouse and the control user gets on it. 2) Auto caching features 3) Json and XML handling 4) Minimal DBA activity
Top Answer: In the beginning, we didn't know what we were doing, and we racked up huge compute costs, shockingly and quickly. But the sales team was extremely helpful and showed us where we were doing everything… more »
Top Answer: It would be better if they had a data profile tool that tells me where the gaps are in my time series data. We are anxiously waiting for them to release their data catalog and analytics capabilities… more »
Ranking
19th
out of 30 in Data Warehouse
Views
381
Comparisons
308
Reviews
0
Average Words per Review
0
Rating
N/A
1st
out of 30 in Data Warehouse
Views
34,806
Comparisons
24,549
Reviews
34
Average Words per Review
616
Rating
8.4
Popular Comparisons
Also Known As
Smart Analytics System, IBM Smart Analytics System
Snowflake Computing
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Overview
The IBM Smart Analytics System provides analytics capabilities on a data warehouse foundation. This integrated and optimized system combines advanced software with IBM server and storage hardware to address a range of analytics workloads and accelerate deployment to help achieve greater efficiency, lower cost and higher performance.

Snowflake provides a data warehouse built for the cloud, delivering a solution capable of solving problems for which legacy, on-premises and cloud data platforms were not designed.

Offer
Learn more about IBM Integrated Analytics System
Learn more about Snowflake
Sample Customers
WIdO AOK, EEKA Fashion, SSGC, GS Retail
Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Top Industries
No Data Available
REVIEWERS
Computer Software Company44%
Manufacturing Company11%
Financial Services Firm11%
Wholesaler/Distributor11%
VISITORS READING REVIEWS
Computer Software Company30%
Comms Service Provider15%
Financial Services Firm7%
Insurance Company5%
Company Size
No Data Available
REVIEWERS
Small Business29%
Midsize Enterprise22%
Large Enterprise49%
VISITORS READING REVIEWS
Small Business11%
Midsize Enterprise15%
Large Enterprise74%
Find out what your peers are saying about Snowflake Computing, Oracle, Apache and others in Data Warehouse. Updated: May 2021.
501,499 professionals have used our research since 2012.

IBM Integrated Analytics System is ranked 19th in Data Warehouse while Snowflake is ranked 1st in Data Warehouse with 36 reviews. IBM Integrated Analytics System is rated 0.0, while Snowflake is rated 8.4. On the other hand, the top reviewer of Snowflake writes "Fast, convenient and requires almost no administration". IBM Integrated Analytics System is most compared with IBM Netezza Performance Server, Oracle Big Data Appliance, Oracle Database Appliance, Vertica and Oracle Exadata, whereas Snowflake is most compared with Microsoft Azure Synapse Analytics, Firebolt, Amazon Redshift, Vertica and Teradata.

See our list of best Data Warehouse vendors.

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.