The Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.
N/A
Twilio Segment
Score 8.3 out of 10
N/A
Segment is a customer data platform that helps engineering teams at companies like Tradesy, TIME, Inc., Gap, Lending Tree, PayPal, and Fender, etc., achieve time and cost savings on their data infrastructure, which was acquired by Twilio November 2020. The vendor says they also enable Product, BI, and Marketing teams to access 200+ tools (Mixpanel, Salesforce, Marketo, Redshift, etc.) to better understand and optimize customer preferences for growth— all integrations are pre-built and…
$120
per month
Pricing
Snowflake
Twilio Segment
Editions & Modules
No answers on this topic
Free
$0.00
Includes 1,000 visitors/mo
Team
$120.00
Includes 10,000 visitors/mo
Business
Contact Sales
Custom Volume
Offerings
Pricing Offerings
Snowflake
Twilio Segment
Free Trial
Yes
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Snowflake
Twilio Segment
Features
Snowflake
Twilio Segment
Tag Management
Comparison of Tag Management features of Product A and Product B
Snowflake
-
Ratings
Twilio Segment
7.6
2 Ratings
8% below category average
Tag library
00 Ratings
8.01 Ratings
Tag variable mapping
00 Ratings
8.01 Ratings
Ease of writing custom tags
00 Ratings
8.01 Ratings
Rules-driven tag execution
00 Ratings
7.01 Ratings
Tag performance monitoring
00 Ratings
7.01 Ratings
Page load times
00 Ratings
8.01 Ratings
Mobile app tagging
00 Ratings
7.01 Ratings
Library of JavaScript extensions
00 Ratings
7.52 Ratings
Audience Segmentation & Targeting
Comparison of Audience Segmentation & Targeting features of Product A and Product B
Snowflake
-
Ratings
Twilio Segment
7.6
2 Ratings
7% below category average
Standard visitor segmentation
00 Ratings
8.02 Ratings
Behavioral visitor segmentation
00 Ratings
7.52 Ratings
Traffic allocation control
00 Ratings
7.02 Ratings
Website personalization
00 Ratings
8.01 Ratings
Customer Data Management
Comparison of Customer Data Management features of Product A and Product B
Snowflake
-
Ratings
Twilio Segment
8.3
3 Ratings
1% above category average
Account Scoring
00 Ratings
8.52 Ratings
Customer Data Governance
00 Ratings
9.02 Ratings
Data Connectors
00 Ratings
8.73 Ratings
Data Enhancement
00 Ratings
8.02 Ratings
Data Ingestion
00 Ratings
8.73 Ratings
Data Storage
00 Ratings
8.52 Ratings
Data Visibility
00 Ratings
8.02 Ratings
Event Data
00 Ratings
8.02 Ratings
Identity Resolution
00 Ratings
7.52 Ratings
Best Alternatives
Snowflake
Twilio Segment
Small Businesses
Google BigQuery
Score 8.8 out of 10
Bloomreach - The Agentic Platform for Personalization
Score 9.0 out of 10
Medium-sized Companies
Google BigQuery
Score 8.8 out of 10
Bloomreach - The Agentic Platform for Personalization
Score 9.0 out of 10
Enterprises
Google BigQuery
Score 8.8 out of 10
Bloomreach - The Agentic Platform for Personalization
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.
Best suited: - Merging emails coming from: Facebook leads forms, Unbounce or landing pages forms, Google forms, any other kind of lead generation tool and bundling all that information together for a single user "profile". - Passing events generated in multiple applications by the same user (product selected in web, product discarded in cart, etc) and delivering those events into other applications (like a CRM) Less appropriate: - Reading/updating data directly from segment from a frontend application
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
Multi-platform. Segment has easy integrations in many different web, backend, and app platforms/frameworks. We use the Segment SDK in Android and iOS as well as our node.js backend.
Segment is fairly affordable for early-stage companies that are trying out different analytics software. The "developer" plan is free and is suitable for most companies with products that have a small user base.
The UI is great! It is extremely intuitive and easy-to-learn, and this made it take very little time to integrate this software into our analytics and marketing workflows.
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.
More and richer sources. For example, MailChimp is a source but the data you get from MailChimp is quite limited. I ended up writing my own scripts to take better advantage of MailChimp's API because Segment's integration was lacking.
Better examples on how to set up event tracking. Pageview tracking is easy enough, but it would be nice if they had a sample app and corresponding code for it and showed you, via Git commits, how to add various kinds of events.
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
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.
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.
Over the period it took us to set up, we kept going back to their enablement team to help us with the setup, and they were always ready and were very helpful in the entire process. Even with their documentation, they took the time out to help us work through the process. We've never had a message/email unanswered for more than an hour on working days.
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.
We chose Twilio Segment for the good API integration and node resources, I would use Ontraport again, particularly if I didn't have the requirements for API and development/platform integration. Certainly the set up and management is easy and seamless with both the API and the user interface to use depending on circumstances and requirements.
Segment has enabled us to get a full view of our front end activity, join it to our back-end activity, and get full visibility into our funnels and user activity.
Segment lets us send events to ad tools with a full audit trail so all the numbers line up.
Segment also brings data from other sources into our data warehouse, saving our data engineering time from building commodity connectors.