Sold by: Snowplow
Deployed on AWS
Unlock the full potential of your data with Snowplow's Customer Data Infrastructure (CDI) for AWS - the key to eliminating data silos, optimizing costs, and leveraging AWS's powerful ecosystem for advanced analytics, real-time operations, and AI workloads.
Overview
Snowplow on AWS allows you to leverage your behavioral data in any lake, real-time stream, or analytical workload. Snowplow Customer Data Infrastructure is a privacy-centric solution deployed in the client's VPC and Amazon sub-account. It offers comprehensive behavioral data collection, enrichment, and governance capabilities, eliminating data silos by gathering information from various first-party data sources (websites, mobile apps, etc).
Snowplow offers cost-effective data management by storing diverse data sets (structured, unstructured, semi-structured) in S3 object storage and leveraging AWS Glue as a cataloging method. Snowplow CDI also leverages Amazon Kinesis to process and operationalize large streams of data into other AWS services and/or external platforms, focusing on interoperability and scale. The solution democratizes access to data across analytics, data science, and other workstreams.
In storing and processing your most valuable asset, first-party customer data, businesses can rely on a Snowplow + AWS foundation within their data stack, avoiding downstream vendor lock-in for various workloads, and ultimately future-proof their business for an AI-centric architecture.
Highlights
- Thousands of companies like Burberry, Strava, and Auto Trader use Snowplow to generate AI-ready data to uncover deeper customer journey insights, predict customer behaviors, personalize customer experiences, and detect fraud.
Details
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
BDP Enterprise | Guide price is dependent on event volumes, SLAs & support requirements | $37,500.00 |
Dimension | Cost/unit |
|---|---|
Additional Overage Fees | $0.10 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Additional support information available at https://docs.snowplow.io/docs/ Support offered 24/7 via support@snowplow.io .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Data Collection Infrastructure
Comprehensive behavioral data collection from multiple first-party sources including websites and mobile applications
Data Processing Framework
Supports processing of structured, unstructured, and semi-structured data sets using AWS Glue for data cataloging
Stream Processing Capability
Utilizes Amazon Kinesis for real-time data processing and operationalization across AWS services and external platforms
Privacy-Centric Architecture
Deployed within client's VPC and Amazon sub-account with built-in data governance and privacy controls
Data Storage Optimization
Leverages S3 object storage for cost-effective and scalable data management across diverse data types
Data Source Integration
Native connectors to multiple data sources with API integration capabilities and pre-built workflows
Data Processing Engine
Advanced data processing capabilities including decoding, normalization, data quality verification, aggregation, and correlation
Workflow Management
Flexible technical building block assembly with user-friendly interface and data flow lifecycle visualization
Kubernetes Deployment
Cloud-native architecture designed for deployment and operation on Kubernetes infrastructure
Data Enrichment
Capability to correlate, bind data to subscriber profiles, and enrich information based on defined business criteria
Data Platform Architecture
Unified platform integrating data engineering, analytics, business intelligence, data science, and machine learning on a single architecture
Open Source Foundation
Built on open source data projects with support for open standards and data formats
Lakehouse Infrastructure
Provides a common data management approach using a lakehouse architecture running on Amazon S3
Data Intelligence Engine
Advanced engine capable of interpreting organizational data context and enabling broad data access across teams
Collaborative Workflow
Native collaboration capabilities enabling cross-functional data and AI workflow integration
Standard contract
No
No
Customer reviews
0 ratings
0 AWS reviews
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31 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Mark J.
We love SnowPlow
Reviewed on Jun 16, 2023
Review provided by G2
What do you like best about the product?
We've been using SnowPlow here at General Assembly for almost 7 years. We started with the opensource version and decided to move to Enterprise so we didn't have to use data engineering resources to maintain and upgrade the pipeline, which has saved us a ton of time to work on other things. Our account manager and support at SnowPlow have been amazing and we've had no issues. Just sit back and let them administer the pipeline and has been up 100%. Having access to raw data in snow plow is key to creating your own data models. Having access to almost real time data is crucial as well.
What do you dislike about the product?
Would LOVE to see some cookie cutter reporting templates like Google Analytics gives you. I understand SnowPlow is not designed for that but would save our analysts a ton of time if SnowPlow provided some built in reporting as well. SnowPlow does have some templates for Looker and other visual tools, would love to use this in Tableau at some point.
What problems is the product solving and how is that benefiting you?
Having access to almost real time raw data is crucial at our company, which gives us the ability to create custom data models and also QA easily and quickly. Having SnowPlow enterprise team handle all the maintenance and uptime is key as well.
Leandro C.
Being datadriven through Snowplow
Reviewed on May 25, 2023
Review provided by G2
What do you like best about the product?
Unlike Saas tools, which have a closed architecture, Snowplow allows us to adjust the environment to our needs and the peculiarities of our business. In addition to being a tool that has good usability for the development team.
What do you dislike about the product?
Today the only problem we have with Snowplow is due to the time zone we are in, and when we need support, it doesn't always happen with the urgency we have. It is the only thing that bothers us.
What problems is the product solving and how is that benefiting you?
Today the main focus in using Snowplow is to track all user behavior in all our products and with that, we can quickly run A/B tests and develop features that add real value to the user.
Robin P.
Snowplow was a game changer in our understanding of our customer behaviour
Reviewed on Feb 09, 2022
Review provided by G2
What do you like best about the product?
I like the availability of granular data and the autonomy to be able to use the data easily in whichever way you choose. It gives complete freedom to build downstream products tailored to the business needs. I also think their customer services level is extremely high, they are always available to suggest best approaches to problems and work with you on solving your own challenges.
What do you dislike about the product?
It does have a bit of a knowledge learning curve, traditional users of behavioural data have only experienced data through a familiar UI and so some of the bits of knowledge behind how certain areas of data are populated requires a fair amount of reading and playing with the data.
What problems is the product solving and how is that benefiting you?
Precise understanding of user experience of new features. Identity stitching. Consolidated metrics across different Web platforms (app, Web, third party affiliates, acquisition companies). Removed areas of doubt of the data from issues such as ad blockers and transmission issues when implementing server side tracking.
Recommendations to others considering the product:
Learn about how tracking actually works and how the raw data is presented. Understand what the business needs to report on from tracking and make sure tracking is in place in those scenarios. Spend time really thinking about a scalable way to track new features.
Computer Software
Powerful tracking that you can adapt to your needs
Reviewed on Feb 01, 2022
Review provided by G2
What do you like best about the product?
- You can track everything you need: browser-side, server-side, custom events
- You can customize the tracking to your needs
- You can prevent any compliance or security headache by hosting the processing and storage on your own infrastructure
- Snowplow's support is first-class
- You can customize the tracking to your needs
- You can prevent any compliance or security headache by hosting the processing and storage on your own infrastructure
- Snowplow's support is first-class
What do you dislike about the product?
- Any powerful tool comes with some complexity to handle on your end. You will have to spend some time understanding Snowplow's data structure, but once you have done it, it's ready for the long term.
- The tracking of user interactions with UI elements could be more intuitive
- The tracking of user interactions with UI elements could be more intuitive
What problems is the product solving and how is that benefiting you?
- Providing comprehensive analytics on user activity and interactions across websites, web apps, and mobile apps, no matter where it's running.
- Tracking custom events based on product teams needs.
- Tracking custom events based on product teams needs.
Recommendations to others considering the product:
If you need a customizable and powerful product analytics solution, Snowplow Analytics should be at the top of your list.
Financial Services
Complex, but comprehensive
Reviewed on Feb 01, 2022
Review provided by G2
What do you like best about the product?
The complete control over the data capture & tracking
What do you dislike about the product?
It feels more geared towards developers which might be fair, but I think it would be good if an analytics engineer could easily pick up implementation & maintenance
What problems is the product solving and how is that benefiting you?
Web analytics, app analytics for now, hoping we can use it for more applications in the future. I appreciate the fact there is a DBT package to process snowplow data for web analytics purposes