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Snowflake vs WP Bolt comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 1, 2026

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

Snowflake
Ranking in Data Warehouse
1st
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
105
Ranking in other categories
Cloud Data Warehouse (1st), AI Synthetic Data (1st), Database Management Systems (DBMS) (7th), AI Software Development (11th)
WP Bolt
Ranking in Data Warehouse
27th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Data Warehouse category, the mindshare of Snowflake is 9.3%, down from 13.8% compared to the previous year. The mindshare of WP Bolt is 1.5%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse Mindshare Distribution
ProductMindshare (%)
Snowflake9.3%
WP Bolt1.5%
Other89.2%
Data Warehouse
 

Featured Reviews

SunilPatil1 - PeerSpot reviewer
Asset Builder at Genpact - Headstrong
Have prioritized security while managing multi-agent data migration and cloud adoption
We utilize Time Travel with Snowflake because this is a very useful feature. Everyone finds it crucial because in conventional data platforms, it's very difficult to handle these kinds of things. This feature is essential, though I don't have the use cases currently; it is just there for implementation. Regarding Snowflake's automated scaling and suspension features, this auto-scaling is very significant. We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
it_user665328 - PeerSpot reviewer
ETL Developer at a music company with 501-1,000 employees
the most useful feature of the product is object imaging. It is the champion in the world of RDBMS.
Although they already have patches to address the instability of CORV (Create or Replace Views) CASCADE, I believe this is the area that should receive most attention. I am, however, still not sure if the patch has officially been recognised and deployed as part of their version updates. There are a few critical issues/bugs that we have experienced on our production environment, which required intervention from Kognitio. As one of Kognitio's biggest clients, their response times were quick and patches were also quick to be released to address production issues. Also, slabs management seems to be, or can be, a very hands-on tasks especially when reaching its capacity. It will be every WX2/KAP developer’s or DBA’s paradise if the product can be configured in this area to be fully/semi-automated.

Quotes from Members

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

Pros

"The technical support on offer is excellent."
"The solution is very easy to use."
"The most valuable feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"This is the advanced version of the cloud version, so it's really a flexible tool."
"It is quite easy to manage."
"The most valuable features are the clustering, LS50, being able to change the size, the pay per use feature, the flexibility with many different sources and analytic applications."
"Snowflake is the latest technology, it has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
"The technical support from Snowflake is very good, nice, and efficient."
"In the world of RDBMS, WX2/KAP is, I believe, the champion, or should be if not already!"
 

Cons

"Snowflake is very good overall, but it could improve documentation for supporting different structures."
"Snowflake needs to improve its programming part. Though the tool has Snowpath, it doesn’t support all features like its competitor, Databricks. Snowflake doesn’t support external data ingestion capabilities. You need to have third-party tools for that. Also, the tool needs to incorporate data integration features in its future releases."
"The solution needs to offer more functionality related to machine learning and artificial intelligence."
"There are three things that came to my notice. I am not very sure whether they have already done it. The first one is very specific to the virtual data warehouse. Snowflake might want to offer industry-specific models for the data warehouse. Snowflake is a very strong product with credit. For a typical retail industry, such as the pharma industry, if it can get into the functional space as well, it will be a big shot in their arm. The second thing is related to the migration from other data warehouses to Snowflake. They can make the migration a little bit more seamless and easy. It should be compatible, well-structured, and well-governed. Many enterprises have huge impetus and urgency to move to Snowflake from their existing data warehouse, so, naturally, this is an area that is critical. The third thing is related to the capability of dealing with relational and dimensional structures. It is not that friendly with relational structures. Snowflake is more friendly with the dimensional structure or the data masks, which is characteristic of a Kimball model. It is very difficult to be savvy and friendly with both structures because these structures are different and address different kinds of needs. One is manipulation-heavy, and the other one is read-heavy or analysis-heavy. One is for heavy or frequent changes and amendments, and the other one is for frequent reads. One is flat, and the other one is distributed. There are fundamental differences between these two structures. If I were to consider Snowflake as a silver bullet, it should be equally savvy on both ends, which I don't think is the case. Maybe the product has grown and scaled up from where it was."
"The current API is very limited and difficult to configure."
"It would be better if they had a data profile tool that tells me where the gaps are in my time series data."
"The complexity of the initial setup of Snowflake depends on the use case. However, it does tend to get complex because we have a lot of semi-structured data which we need to handle in Snowflake."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"It does not have the robustness or stability like of Oracle or Teradata; the upper right quadrant."
 

Pricing and Cost Advice

"You pay based on the data that you are storing in the data warehouse and there are no maintenance costs."
"We're based on credits. So, we're paying four and a half dollars of credit. There are no additional costs. I would rate it a two out of five in terms of pricing."
"Snowflake is cost-effective. However, the cost can depend on how it's being used and how efficiently the code is written. If engineers don't write efficient code and usage is billed based on processing, it can become costly. If they write optimal code and choose the best solution, it can reduce costs in comparison to other options, such as Oracle."
"It is on a monthly basis. It is based on your usage. There are no additional costs from the point of the licensing fee. We do give some kind of evaluation to the customers about how much it is going to be. You can decide in Snowflake the virtual machine that you are using for customers. There are several kinds of virtual machines that you can use. It is similar to the clothing sizes: small to extra large. If you need more power in the coming month, you can decide in advance and take a more powerful machine. You can just select it from the platform. You can also decide which machine you want to take for extracting data."
"I have not been billed yet, but it should be less. I'm still running the trial version, but it seems to be less than Databricks."
"The price of Snowflake is very reasonable."
"The price of the solution is reasonable."
"Part of the problem with the pricing is that it is very difficult for businesses to get an idea of how expensive it might be until they actually start using Snowflake."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
6%
Healthcare Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business30
Midsize Enterprise20
Large Enterprise59
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Snowflake?
For pricing, setup cost, and licensing, everything is managed smoothly. Regarding licensing, it is inexpensive. The setup cost is low, mainly due to AWS Marketplace; we only need to pay for serverl...
What needs improvement with Snowflake?
Snowflake is already quite improved, but they have recently introduced AI features. AI integration would be beneficial for direct data capturing from systems such as SAP and Salesforce to Snowflake...
What is your primary use case for Snowflake?
Snowflake is primarily used to handle the data warehousing part, for creating data modeling, and also keeping the raw data and creating reporting data so that it is further used for data analytics....
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Comparisons

 

Also Known As

Snowflake Computing, Snowflake Data Cloud
Kognitio WX2, WX2
 

Overview

 

Sample Customers

Accordant Media, Adobe, Kixeye Inc., Revana, SOASTA, White Ops
Aimia, Bed Bath & Beyond, bet365, Blueberry Wave, British Telecom, Ellerines, Everyclick, Nectar Italia, PlaceIQ, ScottishPower, Segmetrix, Tattershall Castle Group, Vocal Planet, VivaKi, Willard Bishop
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse. Updated: May 2026.
893,221 professionals have used our research since 2012.