What users are saying about
50 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.7 out of 100
Based on 50 reviews and ratings
Top Rated
178 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.9 out of 100
Based on 178 reviews and ratings
Attribute Ratings
- Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 2 areas: Usability, Support Rating
- Snowflake is rated higher in 1 area: Likelihood to Recommend
- Databricks Lakehouse Platform (Unified Analytics Platform) and Snowflake are tied in 1 area: Contract Terms and Pricing Model
Likelihood to Recommend
8.7
Databricks Lakehouse Platform
87%
15 Ratings

8.9
Snowflake
89%
32 Ratings
Likelihood to Renew
Databricks Lakehouse Platform
N/A
0 Ratings

8.0
Snowflake
80%
1 Rating
Usability
9.0
Databricks Lakehouse Platform
90%
3 Ratings

8.5
Snowflake
85%
13 Ratings
Support Rating
7.5
Databricks Lakehouse Platform
75%
2 Ratings

7.3
Snowflake
73%
12 Ratings
Contract Terms and Pricing Model
8.0
Databricks Lakehouse Platform
80%
1 Rating

8.0
Snowflake
80%
1 Rating
Professional Services
10.0
Databricks Lakehouse Platform
100%
1 Rating

Snowflake
N/A
0 Ratings
Likelihood to Recommend
Databricks Lakehouse Platform
If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.

Verified User
Engineer in Engineering
Computer Software Company, 1001-5000 employeesSnowflake
For an organization that has small, medium, or large data collection, Snowflake provides the best infrastructure to store, manage, utilize and analyze the data. Especially for companies that are growing at a really fast pace, it helps you not only with warehouse capabilities but also its connection with several BI tools give you the flexibility and option to connect and analyze the data [in] real time.
Data Analyst
Raymour and FlaniganRetail, 5001-10,000 employees
Pros
Databricks Lakehouse Platform
- Process raw data in One Lake (S3) env to relational tables and views
- Share notebooks with our business analysts so that they can use the queries and generate value out of the data
- Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
- Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers

Verified User
Team Lead in Engineering
Financial Services Company, 10,001+ employeesSnowflake
- This is a cloud-based application that provides me a secure platform for the easy sharing of data with my clients.
- I feel confident to connect with my numerous business partners just because of its advanced security and effective programming.
- Through this tool, I am capable of integrating, analyzing, and the entire data in a precise form and with analytics as well, due to which I always have a transparent idea about the data extraction and its transfer from multiple clouds.
Business Development Manager
Torqx Capital PartnersVenture Capital & Private Equity, 11-50 employees
Cons
Databricks Lakehouse Platform
- Better Localized Testing
- When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
- Graphing Support went non-existent; when it was one of their compelling general engine.

Verified User
Director in Information Technology
Financial Services Company, 201-500 employeesSnowflake
- Snowflake UI can be clunky and breaks sometimes, which can be annoying
- Snowflake has to be paired with the Data Build Tool (DBT) to allow for templating and macro usage. No inbuilt solution.
- Snowflake Python connector development doesn't necessarily track popular packages such as Pandas as quickly as Pandas releases
- Could do with better machine learning capability over warehouse tables, but I assume this is coming soon

Verified User
Engineer in Other
Computer Software Company, 201-500 employeesPricing Details
Databricks Lakehouse Platform
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$0.07 Per DBU
Databricks Lakehouse Platform Editions & Modules
Edition
Standard | $0.071 |
---|---|
Premium | $0.101 |
Enterprise | $0.131 |
- Per DBU
Additional Pricing Details
—Snowflake
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$20 Per TB
Snowflake Editions & Modules
Edition
US East | $20.001 |
---|
- Per TB
Additional Pricing Details
—Likelihood to Renew
Databricks Lakehouse Platform
No score
No answers yet
No answers on this topic
Snowflake
Snowflake 8.0
Based on 1 answer
SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to

Verified User
Team Lead in Engineering
Computer Games Company, 51-200 employeesUsability
Databricks Lakehouse Platform
Databricks Lakehouse Platform 9.0
Based on 3 answers
Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.
in terms of graph generation and interaction it could improve their UI and UX
in terms of graph generation and interaction it could improve their UI and UX

Verified User
Manager in Product Management
Financial Services Company, 201-500 employeesSnowflake
Snowflake 8.5
Based on 13 answers
The interface is similar to other SQL query systems I've used and is fairly easy to use. My only complaint is the syntax issues. Another thing is that the error messages are not always the easiest thing to understand, especially when you incorporate temp tables. Some of that is to be expected with any new database.
Product Manager
AppFolio, Inc.Computer Software, 1001-5000 employees
Support Rating
Databricks Lakehouse Platform
Databricks Lakehouse Platform 7.5
Based on 2 answers
One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Snowflake
Snowflake 7.3
Based on 12 answers
Overall, the support from Snowflake has been very good. Since we are one of the major users for Snowflake and have a dedicated tech team to solve all the technical problem on our way. On the side of the technical problem, any sql related questions can be found from everywhere online.

Verified User
Analyst in Corporate
Cosmetics Company, 10,001+ employeesAlternatives Considered
Databricks Lakehouse Platform
Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark

Verified User
Director in Information Technology
Hospitality Company, 10,001+ employeesSnowflake
In my experience running the data management practice at InterWorks, we believe that cloud data warehouse products will eventually serve the majority of data warehousing use cases and power data analytics at most companies. Of this cohort, we believe that Snowflake is the best among them for most customers. It's easier to manage, in many cases faster, and in almost all cases it is less expensive because of the ability to automatically resume and suspend depending on usage.
Data Practice Director
InterWorksInformation Services, 201-500 employees
Contract Terms and Pricing Model
Databricks Lakehouse Platform
Databricks Lakehouse Platform 8.0
Based on 1 answer
The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Snowflake
Snowflake 8.0
Based on 1 answer
No answer on this topic is available.
Professional Services
Databricks Lakehouse Platform
Databricks Lakehouse Platform 10.0
Based on 1 answer
Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
Director Data Science
CNTransportation/Trucking/Railroad, 10,001+ employees
Snowflake
No score
No answers yet
No answers on this topic
Return on Investment
Databricks Lakehouse Platform
- Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
Freelance Translator
ZOO Digital Group plcEntertainment, 501-1000 employees
Snowflake
- Faster data retrieval makes real time analysis possible.
- Option to create multiple warehouses enable us to track usages and cost by departments.
- Option to scale up/down computational warehouse to support peak hours and month end loads makes Snowflake cost effective.
- Zero-copy cloning reduces storage and deployment cost.
- Multiple users can access the same amount of data without deadlocks which is a common scenario in relational databases.

Verified User
Analyst in Information Technology
Consumer Goods Company, 51-200 employees