Cloudera Data Platform vs Snowflake

Likelihood to Recommend

I have seen that Cloudera Data Platform is well suited for large batch processes. It works really well for our indication analyses that are performed by the actuaries. I feel that rapid streaming operations may be a situation where additional technology would be needed to provide for a robust solution.

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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Snowflake is great when you need to store large amounts of data while retaining the ability to query that data quickly. It is very reliable and allows for auto-scaling on large queries meaning that you're only paying for the power you actually use. It's taken queries that took 20+ minutes to run on redshift down to 2 minutes on Snowflake.

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Jake Schlingman

Product Manager

AppFolio, Inc.Computer Software, 1001-5000 employees

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Pros

Scales
Highly available

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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Impressive data retrieval and data compression ratio.
Semi-structured data (JSON, XML) can be loaded as is and retrieved in a tabular structure on the fly using the flatten function.
Zero-copy cloning is an excellent feature which saves hours to refresh latest data in development instance.
Extensive usages documentation with examples makes development easy.

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Verified User

Analyst in Information Technology

Consumer Goods Company, 51-200 employees

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Cons

Constantly changing costs
Log visibility

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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Very limited amount of tabs - saved queries, which requires us to store the code somewhere else and re-use existing queries.
Performance can really be a problem if there are many users on the system at the same time.
SnowFlake support sometimes can be hard to reach.

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Verified User

Team Lead in Engineering

Computer Games Company, 51-200 employees

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Likelihood to Renew

No score

No answers yet

No answers on this topic

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

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Verified User

Team Lead in Engineering

Computer Games Company, 51-200 employees

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Usability

No score

No answers yet

No answers on this topic

Snowflake 8.7

Based on 11 answers

The web front end is OK, but they could improve the product with a front end GUI. We have connected DBEAVER to snowflake with an ODBC driver, but the queries are a lot slower from DBEAVER, compared to the web front end. SSIS also has an ODBC connection, but it is also a slower to pull data from snowflake. Overall the usability is good.

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Wicks Justin

Senior Data Engineer

Ignition GroupTelecommunications, 1001-5000 employees

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Support Rating

Cloudera Data Platform 8.0

Based on 1 answer

We have utilized Cloudera support quite frequently and are very satisfied with the capability and responsiveness of that team. Often, the new features delivered with the platform give us an opportunity to mature the way we're doing things, and the support team have been valuable in developing those new patterns.

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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Snowflake 8.5

Based on 10 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.

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Verified User

Analyst in Corporate

Cosmetics Company, 10,001+ employees

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Alternatives Considered

IBM's offering of the Cloud Pak for Data has been a moving target and difficult to compare to Cloudera Data Platform. We have implemented our solution on Amazon Web Services, which appears to be supported by IBM at this point, but the migration would be very expensive for us to endeavor.

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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The average percentage of time that a data warehouse is actually doing something is around 20%. Given this, the price by query estimate becomes an important pricing consideration. For this, Snowflake crucially decouples of storage and compute. With Snowflake you pay for 1) storage space used and 2) amount of time spent querying data. Snowflake also has a notion of a “logical warehouse” which is the “compute” aspect of the database. These warehouses can be scaled up or down to deliver different grades of performance. You can also configure the number of compute nodes to parallelize query execution. These warehouses can be configured to “pause” when you’re not using them for cost efficiency. As a result, you can have a super beefy warehouse for BI queries that’s only running when people are using your BI tools, while your background batch jobs can use cheaper hardware.

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Andrew Goss

Data Engineer

InterfolioInternet, 51-200 employees

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Return on Investment

Reduced operational costs
Speed to market

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Verified User

Director in Engineering

Insurance Company, 51-200 employees

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Quick installation/setup for a data warehouse solution.
Make easy to handle/manage the various type of semi-structured data using the native solutions and provided new data modeling concepts such as schema-read data model and schema-write data model.
Make easy and simplified the workload management using virtual warehouses and materialized views.

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Jacob Biguvu

Database Engineer/DBA (Cloud and On-Premises)

Capital OneFinancial Services, 10,001+ employees

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Pricing Details

General

Free Trial

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Free/Freemium Version

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Premium Consulting/Integration Services

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Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No