LiveRamp vs. Snowflake

For marketers or advertising agencies who are trying to find better ways to activate first party data to improve advertising performance, LiveRamp is the industry leading data onboarding platform. Once data is onboarded, it can be segmented in granular ways to create unique audience segments using boolean logic. LiveRamp is also well suited for identity resolution. LiveRamp will be a key player in the post-cookie world for advertisers and agencies. LiveRamp is an enterprise product for brands and agencies who invest heavily in paid media - if you aren't investing heavily in paid media and aren't investing in ad tech, LiveRamp probably isn't a good fit.

Incentivized

Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.

Incentivized

• The interface makes sense and is usable.
• Automated cleansing.
• Can assist in revenue generation for website.
• Great customer support.

Incentivized

• Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
• Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
• Snowflake manages concurrency better in our trials than other premium competitors
• Snowflake has little to no setup and ramp up time
• Snowflake offers online training for various employee types

Incentivized

• Better UI
• API connectivity
• More complex ETL processes

Incentivized

• Add constraints for views and not just for tables
• Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.

Incentivized

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

Incentivized

Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.

Incentivized

We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.

Incentivized

LiveRamp has become the industry leader in data onboarding, identity resolution, and data management. LiveRamp has grown faster than Neustar and the business model is more specialized than Neustar. LiveRamp has chosen to just focus on identity resolution, data onboarding, and data management, whereas Neustar has several business units and is less focused. For these reasons, we prefer using LiveRamp's technology over Neustar.

Incentivized

I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.

Incentivized

• Has helped us to be able to monetize website.
• Saves us a lot of time and thus money.

Incentivized

• With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
• Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
• Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.

Incentivized