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Altinity.Cloud vs Snowflake Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

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

Altinity.Cloud
Average Rating
9.0
Reviews Sentiment
2.2
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Snowflake Analytics
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
44
Ranking in other categories
Web Analytics (2nd), Cloud Data Warehouse (12th)
 

Featured Reviews

Harsh Kaneria - PeerSpot reviewer
SDE-2 at a tech vendor with 1-10 employees
Managed analytics has freed our engineers to focus on real-time dashboards and deeper insights
Their best features include fully managed ClickHouse, their ClickHouse expertise, their customer support team, and the flexible deployment options they offer. Scaling is easier, and they provide multi-cloud support, allowing us to deploy on AWS, GCP, or Azure in any region. The biggest benefit and major difference created for our team comes from using their fully managed ClickHouse infrastructure, which eliminates the need to manage cluster provisioning, upgrades, backups, and monitoring ourselves. As a result, our team spends more time building analytics and dashboards while benefiting from a reliable, high-performance database with minimal operational overhead. Another valuable feature worth mentioning about Altinity.Cloud is their ClickHouse expertise; they are very skilled in how to optimize and how well we can extract performance from ClickHouse. Altinity.Cloud has had a positive impact on our organization by simplifying the management of our analytics infrastructure. It has reduced the operational effort required to run ClickHouse, improved the query performance for large data sets, and enabled our team to deliver dashboards and analytics faster. As a result, our engineers spend less time on database maintenance and more time building features and analyzing business data and their outcomes. Some of the measurements we have seen from using Altinity.Cloud include fifty to sixty percent less time spent on database administration. We do not need to handle provisioning, ClickHouse version upgrades, backups, or monitoring; those are all managed by Altinity. Additional outcomes include significantly faster analytics queries, faster deployment of the analytics environment, lower operational costs, and higher engineering productivity.
Garima Goel - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"Altinity.Cloud has had a positive impact on our organization by simplifying the management of our analytics infrastructure, reducing the operational effort required to run ClickHouse, improving the query performance for large data sets, and enabling our team to deliver dashboards and analytics faster so our engineers spend less time on database maintenance and more time building features and analyzing business data and their outcomes."
"The best features Altinity.Cloud offers include that it is a fully managed database as a service, it is also fully open source so it is very good to access, there are flexible deployments, there is easy integration with some third-party tools such as Kafka, and it also has very good monitoring tools."
"The latest interface of Snowsight UI has added good capabilities and the interface is excellent."
"The solution auto-scales and provides concurrency, you can have different virtual warehouses without them impacting each other, and it's flexible and infinitely scalable because it's on the cloud."
"One of the distinctive features of Snowflake is its ability to handle large datasets efficiently."
"While we've done many complex implementations, Snowflake always has a way of simplifying things."
"The advanced features like time travel, zero copy cloning and scalability have been most useful. Snowflake requires zero maintenance for Data Warehousing on the cloud system."
"It helps with business intelligence by providing analytics that can be reported."
"Features like the fact that the solution is very fast and available on the cloud are some of the valuable attributes of the solution."
"It is a wonderful tool that easily organizes data, makes it accessible, loads it from the pipeline, and helps with reporting."
 

Cons

"I have not seen a return on investment."
"Some of the areas we found for improving Altinity.Cloud include simpler pricing with better costs as the cluster scales and a more intuitive management UI for new ClickHouse users."
"Integration into different Python and Jupyter notebooks needs to be improved."
"We haven't witnessed any ROI, however, it's not really a goal of the solution."
"The solution's high price can be an area of concern that needs improvement."
"Improvements are needed in importing and exporting large datasets to and from reporting tools."
"Many customers face issues with the expenses on Snowflake. The pricing visibility is complex."
"Machine learning should be improved."
"I don't see many drawbacks with Snowflake Analytics, but it's not as mature as other tools. It is evolving and needs to integrate various features, like data loading and analytics, better. These components are not fully connected, so the tool should become a more integrated application."
"Navigating the user console can be challenging, particularly when looking for details like the account ID."
 

Pricing and Cost Advice

Information not available
"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."
"The solution's pricing is affordable."
"The tool is quite expensive."
"Snowflake Analytics is not an expensive solution, and its pricing is average."
"On a scale of one to ten, where one is a low price, and ten is a high price, I rate the pricing a seven. The solution's pricing is high."
"The solution's price is high and I would rate it an eight out of ten."
"Snowflake charges per query, which amounts to a very minor cost, such as $0.015 per query."
"I rate the product price a seven on a scale of one to ten, where one is low price, and ten is high price."
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Top Industries

By visitors reading reviews
Construction Company
47%
Consumer Goods Company
15%
Comms Service Provider
6%
Outsourcing Company
6%
Construction Company
17%
Financial Services Firm
8%
Computer Software Company
8%
Marketing Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise13
Large Enterprise23
 

Questions from the Community

What is your experience regarding pricing and costs for Altinity.Cloud?
My experience with pricing, setup cost, and licensing is that everything is good. The pricing is very decent, and the setup is very good as I mentioned, with a very good installation, and the thing...
What needs improvement with Altinity.Cloud?
As for how Altinity.Cloud can be improved, I would say there are no such improvements needed. Everything is good as far as I have tested, and everything is working fine.If I had to pick one area wh...
What is your primary use case for Altinity.Cloud?
Altinity.Cloud is basically a cloud-hosted database service that I have tested, and I normally use it for my RDS and MySQL database deployment.I could give a quick specific example of how I've used...
What is your experience regarding pricing and costs for Snowflake Analytics?
The pricing for Snowflake Analytics is reasonable, but as I am not part of the management team, I am not certain about our organization's exact costs. Overall, the return on investment for this too...
What needs improvement with Snowflake Analytics?
One improvement Snowflake Analytics could benefit from is in cost, particularly during peak hours. Sometimes, due to its automatic scalability, we think it has scaled up, but it does not always hap...
What is your primary use case for Snowflake Analytics?
I am using Snowflake Analytics because we are already using Snowflake for data engineering and data warehousing tasks, and we are using it for analytics as well as business intelligence reporting. ...
 

Comparisons

No data available
 

Overview

 

Sample Customers

Information Not Available
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, Runkeeper
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: June 2026.
902,495 professionals have used our research since 2012.