IBM Integrated Analytics System vs Snowflake Analytics comparison

IBM and Snowflake Computing are both solutions in the Cloud Data Warehouse category. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Snowflake Computing users who would recommend it.

IBM Integrated Analytics Sy...

Read 1 IBM Integrated Analytics System review

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346 Comparison Views

100% willing to recommend

Snowflake Analytics

Read 43 Snowflake Analytics reviews

1,416 Views
581 Comparison Views

100% willing to recommend

IBM Integrated Analytics Sy...

Snowflake Analytics

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Executive Summary

We performed a comparison between IBM Integrated Analytics System and Snowflake Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: March 2026).

Buyer's Guide

Cloud Data Warehouse

March 2026

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Helped 885,667 peers since 2012

Review summaries and opinions

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

Categories and Ranking

IBM Integrated Analytics Sy...

Average Rating

8.0

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Warehouse (24th)

Snowflake Analytics

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Web Analytics (2nd), Cloud Data Warehouse (10th)

Featured Reviews

it_user258975

Senior Information Management Specialist at a tech services company with 501-1,000 employees

They deliver a canned, scalable solution, but I would like to see the TSA scripts available publicly.

With a solid DB2 foundation, it performs incredibly and I recently implemented the new BLU Acceleration, and was dumbfounded that hour-long queries took minutes, in the correct scenario, of course. From a consultant point of view, I can step in and immediately know the system. I do not…

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Garima Goel

Associate Principal Engineer at Nagarro

Have created secure cloud-based data lakes and improved real-time data processing using integrated AI features

There are many capabilities which Snowflake Analytics offers that I find valuable, such as the storage and compute engine that allows working with any cloud system such as AWS or Azure, alongside its efficiencies in storage computation and cost-effectiveness, which saves money compared to on-premise systems. We also have features such as pre-cached results, Time Travel, and fail-safe, which are very useful for restoring data if deleted accidentally, and the streams and data pipes that facilitate real-time ingestion are great features as well. Snowflake Analytics offers multiple new connectors, allowing me to connect it with Kafka, and with Snowpark, I can work with any programming language such as Python, Java, or Scala for data processing and analysis. The data sharing feature offered by Snowflake Analytics is good because it allows sharing specific sets of data to end customers or users from different Snowflake Analytics accounts without exposing the entire dataset for data security reasons. Snowflake Analytics' support for machine learning models and real-time insights has enhanced significantly. Originally, it wasn't strong in AI/ML, but now it has multiple models and forecasting capabilities, providing good competition to tools such as Databricks and Spark. In BI, I have worked majorly with Microsoft Power BI, and the integration with Snowflake Analytics is very easy. The way we integrate Snowflake Analytics with other on-premise systems just requires the warehouse details, username, passwords, and the account name, along with multiple options such as client ID and credentials for logging in and creating a session. The end-to-end encryption provided by Snowflake Analytics is very important because, in my previous firm, working in finance and investment management, data encryption is necessary due to the sensitive nature of customer data and the involvement of people's money. It's crucial to have encryption in transit and at rest, along with data masking features which Snowflake Analytics offers.

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Quotes from Members

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

Pros

"With a solid DB2 foundation, it performs incredibly and I recently implemented the new BLU Acceleration, and was dumbfounded that hour-long queries took minutes, in the correct scenario, of course."

"Snowflake has a streaming capability to work with real-time streaming data and delta tables."

"It's a scalable solution because you can analyze a huge amount of data in the solution."

"Its performance speed is very good."

"It is a wonderful tool that easily organizes data, makes it accessible, loads it from the pipeline, and helps with reporting."

"Its structure aids in storing, managing, and analyzing large datasets in the cloud, using various relationships like one-to-one and many-to-one, ensuring consistency in the data structure."

"The most valuable feature of Snowflake Analytics is the ability to control and manage the cost."

"What we found most valuable in Snowflake Analytics are its attributes that are very convenient for business use such as data sharing, cloning, time travel, and fail-safe. It's a good product all in all."

"The latest interface of Snowsight UI has added good capabilities and the interface is excellent."

More Snowflake Analytics pros

Cons

"The HA - it's a good solution, but I feel IBM should provide the necessary scripts so you can destroy the TSA domain and rebuild it easily."

"The solution’s scalability could be improved."

"Snowflake's Snowpark is an area of concern where improvements are required."

"The solution needs to consider including some updates in the future."

"We were experiencing errors while running reports and making connections."

"The UI must be improved."

"Integration into different Python and Jupyter notebooks needs to be improved."

"Improvements are needed in importing and exporting large datasets to and from reporting tools."

"Moving data from legacy systems to Snowflake is not that easy. There are some cases where processors are not actually compatible with Snowflake."

More Snowflake Analytics cons

Pricing and Cost Advice

Information not available

"The product's pricing is subjective."

"The tool is quite expensive."

"It is not overly expensive. I would rate the pricing a six out of ten, with ten being expensive."

"I rate the product's licensing cost a five or six on a scale of one to ten, where one is low price, and ten is high price."

"The solution's price is high and I would rate it an eight out of ten."

"Snowflake Analytics is not an expensive solution, and its pricing is average."

"Snowflake Analytics is a little more costly than Azure."

"It's not costly if you configure it properly to ensure optimal performance. People don't configure it properly, which is why costs go up."

More Snowflake Analytics pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

12%

Construction Company

Marketing Services Firm

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	13
Large Enterprise	20

Questions from the Community

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What do you like most about Snowflake Analytics?

Its performance speed is very good.

See all answers

What is your experience regarding pricing and costs for Snowflake Analytics?

Snowflake Analytics is quite economical. It does not appear to incur significant extra expenses beyond the solution's initial cost. However, a complete pricing analysis is still in progress.

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What needs improvement with Snowflake Analytics?

In my opinion, Snowflake Analytics can be improved by introducing more features, such as additional integration options. I remember using Snowflake Pro, which allows exporting direct data into the ...

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Comparisons

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Compared 22% of the time

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Compared 18% of the time

Teradata vs IBM Integrated Analytics System

Compared 13% of the time

Oracle Exadata vs IBM Integrated Analytics System

Compared 12% of the time

SAP IQ vs IBM Integrated Analytics System

Compared 12% of the time

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BigQuery vs Snowflake Analytics

Compared 11% of the time

Amplitude vs Snowflake Analytics

Compared 8% of the time

SAP Business Data Cloud vs Snowflake Analytics

Compared 6% of the time

Keen IO vs Snowflake Analytics

Compared 6% of the time

Oracle Autonomous Data Warehouse vs Snowflake Analytics

Compared 5% of the time

More Snowflake Analytics Competitors

Product Reports

Buyer's Guide

Data Warehouse

March 2026

Download IBM Integrated Analytics System product report

Buyer's Guide

Snowflake Analytics

March 2026

Download Snowflake Analytics product report

Also Known As

Smart Analytics System, IBM Smart Analytics System

No data available

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.

IBM

Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.

To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

Snowflake Computing

Sample Customers

WIdO AOK, EEKA Fashion, SSGC, GS Retail

Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: March 2026.

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