Snowflake vs Simon Data

by Gralio Feb 06, 2025

Snowflake excels in data warehousing and analytics, offering scalability and flexibility. Simon Data specializes in marketing automation and personalized customer experiences, providing a user-friendly interface and pre-built integrations for marketing tools.

At Gralio.ai we help to simplify your decision-making process by offering detailed, side-by-side software comparisons like this one, to help you confidently choose the tool that aligns with your business goals.

This comparison was created by analysing 880 reviews and 60 websites, saving 5 hours, 23 minutes of reading.

Snowflake

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Simon Data

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About

Snowflake is a cloud-based data platform designed for businesses to store, manage, and analyze large amounts of data. It works like a giant, virtual warehouse for all your data, accessible from anywhere. Snowflake adapts to your needs, scaling its power and cost up or down on demand. This makes it suitable for tasks like analyzing customer trends, building data-driven applications, or sharing data securely with partners. Its strength lies in handling massive datasets with high speed and efficiency.

Simon Data is a customer data platform (CDP) designed for marketing departments at large companies. It helps businesses centralize customer data from all sources, build detailed customer profiles, and personalize marketing messages across different channels. It features a user-friendly interface, pre-built integrations with popular marketing tools, and emphasizes ease of use for marketing teams. Simon Data is highly rated by customers and recognized as a leader in its category.

Summary

Main difference

Snowflake is a robust data cloud platform ideal for businesses needing scalable data warehousing, analytics, and secure data sharing. Simon Data is a customer data platform (CDP) tailored for marketing teams at large companies, focusing on personalized customer journeys and cross-channel campaign management.

Relative strengths of Snowflake (compared to Simon Data)

Superior scalability and performance for large datasets
Strong SQL support and data transformation capabilities
Broader industry applicability and data integration options

Relative weaknesses of Snowflake (compared to Simon Data)

Less focused on marketing-specific features like campaign management
Steeper learning curve and potentially higher cost for smaller businesses
Limited built-in marketing automation capabilities compared to a dedicated CDP

What companies are using Snowflake and Simon Data?

No data

Who should use Snowflake VS. Simon Data

Snowflake is a cloud-based data platform ideal for data-driven businesses of all sizes. It excels at managing and analyzing large datasets, offering scalability and high performance. Users praise its ease of use and integration capabilities, while some note limitations in machine learning features and unstructured data support.

Simon Data is a user-friendly customer data platform (CDP) designed for marketing teams at large companies. It excels at unifying customer data, enabling personalized messaging, and integrating with various marketing tools. Users praise its intuitive interface and helpful customer support. However, some have noted slow data refresh times and a cumbersome journey builder.

Best for small, medium, and large businesses.
Ideal for Software, IT, and Telecommunications, suitable for various other industries.

Best fit for medium and large companies.
Ideal for e-commerce businesses.

Snowflake and Simon Data features

Supported

Partially supported

Not supported

Type in the name of the feature or in your own words tell us what you need

Unify Data

Supported

Snowflake unifies customer data and offers a single customer view with actionable insights, via its CDP.

Supported

Simon Data unifies customer data from various sources, including cloud data warehouses, to provide a single customer view with actionable insights through identity resolution.
Activate Audiences

Partially supported

Snowflake supports audience activation with no-code UI and real-time syncs via Census integration.

Partially supported

Simon Data supports audience creation, syncing, and a no-code UI. Real-time sync and embedded AI are partially supported.
Personalize Journeys

Partially supported

Snowflake supports personalized marketing through advanced segmentation and predictive models, but requires integration with other tools for full journey personalization.

Supported

Simon Data supports advanced segmentation, predictive models, and real-time personalization.
Data Warehouse Integration

Supported

Snowflake excels in data warehouse integration, seamlessly connecting with diverse data sources like relational databases, cloud platforms, NoSQL databases, and streaming services. Its compatibility with third-party tools, data sharing capabilities, flexible architecture, support for semi-structured data, and query optimization prowess make it highly capable of integrating with other warehouse databases.

Supported

Simon Data integrates with data warehouses, focusing on Snowflake. Non-Snowflake users experience data replication into a Snowflake instance.
Columnar storage

Supported

Snowflake stores data in a columnar format, meaning data for each column is stored together, separate from other columns. This is beneficial for data analytics and business intelligence applications where calculations are often performed over a single data column.

Partially supported

Simon Data uses Snowflake for data storage, which uses columnar storage.
SQL data transformation

Supported

Snowflake supports data transformation using SQL queries, including filtering, aggregating, joining, and manipulating data. It also supports views, stored procedures, and UDFs for this purpose.

Partially supported

Simon Data supports SQL transformations, but it is not a core feature.

Qualities

Value and Pricing Transparency

-0.26

Neutral sentiment

No data
Customer Service

+0.56

Rather positive sentiment

+1

Strongly positive sentiment
Ease of Use

+0.75

Strongly positive sentiment

+1

Strongly positive sentiment
Reliability and Performance

+0.81

Strongly positive sentiment

No data
Ease of Implementation

+0.33

Rather positive sentiment

No data
Scalability

+0.93

Strongly positive sentiment

No data

Snowflake and Simon Data Pricing

No data

User sentiment

Neutral

-0.26

See full Pricing page

Simon Data offers tailored pricing solutions based on total contact volumes and add-on usage. They offer two deployment options: Managed Deployment, where the CDP is deployed on Simon's Snowflake, and Connected Deployment, for Snowflake customers, where the CDP is deployed on the client's Snowflake instance. Several add-ons are available, including Customer Identity, Email + Orchestration, Real-Time Personalization, Machine Learning Models, and Enterprise Product & Security. Three support tiers are also offered: Core, Premium, and Enterprise.

See full Pricing page

Snowflake and Simon Data review insights

880 reviews analysed from and

Users love

The ability to easily scale warehouses based on requirements
Query profile is a very useful feature
The user interface is easy to implement and navigate
Seamless integration with various data tools

Highly responsive and helpful customer support team.
User-friendly interface for creating segments and flows.
Seamless integration with various data sources and marketing tools.
Powerful data manipulation capabilities for personalized messaging.

Users dislike

Limited machine learning features
Data migration efforts are large to transfer everything from on premises to cloud
The new UI is too confusing
Unstructured data support is lacking

Data refresh times can be slow, occurring only three times a day.
Some users find the journey builder to be cumbersome and in need of improvement.
Limited reporting features require manual workarounds or external tools.
Occasional bugs and time-out issues, especially with large datasets.

Snowflake and Simon Data Ratings

G2

4.5/5

(538)
Capterra

4.6/5

(78)
Glassdoor

4.0/5

(749)

G2

4.2/5

(264)
Glassdoor

4.2/5

(63)

Company health

Employee growth

20% increase in the last year

13% decrease in the last year

Web traffic

1% increase in the last quarter

16% increase in the last quarter

Financing

March 2022 - $2B

May 2023 - $116M

How does Snowflake's data warehousing compare to Simon Data's CDP functionality?

Snowflake is a robust data warehousing solution focused on data storage, processing, and analysis, while Simon Data is a CDP designed for marketing teams to personalize customer interactions. Snowflake excels at handling large datasets and complex queries, offering scalability and integration with various data sources. Simon Data, on the other hand, specializes in unifying customer data, building detailed profiles, and activating personalized marketing campaigns across different channels. While both platforms leverage data, their core functionalities and target users differ significantly. Snowflake empowers data teams with powerful analytics capabilities, whereas Simon Data enables marketing teams to orchestrate targeted and personalized customer journeys.

Which product better supports personalized marketing for large datasets: Snowflake or Simon Data?

Simon Data is better suited for personalized marketing with large datasets. While Snowflake excels at handling and analyzing large datasets, its focus is on data warehousing and analytics, not specifically personalized marketing. Simon Data, as a CDP, is purpose-built for personalized marketing, offering features like advanced segmentation, predictive modeling, and real-time data activation directly aimed at creating tailored marketing campaigns. Although Simon Data has limitations regarding data refresh times and potential issues with large datasets, its core functionality and integrations with marketing tools make it a stronger choice for personalized marketing campaigns compared to the more general-purpose data platform Snowflake.

What are the advantages of Snowflake?

Snowflake's advantages include its ability to handle massive datasets with high speed and efficiency due to its cloud-based architecture and columnar storage. It offers excellent scalability, adapting to changing data demands, and seamlessly integrates with various data sources including NoSQL databases and data warehouses. Users praise its ease of use and query profile feature. Snowflake excels in data transformation using SQL, supporting a wide range of data manipulation techniques.

What are the disadvantages of Snowflake?

Snowflake's disadvantages include limited machine learning capabilities, potentially complex and extensive data migration efforts, a user interface that some find confusing, and a perceived lack of robust support for unstructured data. Additionally, some users have reported slow data refresh times and pricing can be a concern.

Alternatives to Snowflake and Simon Data

Microsoft SQL Server

Microsoft SQL Server is a database management system for businesses of all sizes. It helps you analyze various types of data and can be used in multiple environments, including on your servers and in the cloud. SQL Server offers high performance and strong security features. It allows developers to build applications using different programming languages and provides mobile business intelligence tools.

HubSpot Marketing Hub

HubSpot Marketing Hub is a comprehensive marketing platform designed for businesses of all sizes. It offers a suite of tools including email marketing, marketing automation, social media management, analytics, and SEO optimization, all within a single platform. This helps businesses streamline their marketing efforts, improve efficiency, and track results. Its focus on inbound marketing and lead generation makes it a popular choice for businesses looking to attract and convert leads into customers. HubSpot Marketing Hub integrates seamlessly with HubSpot's CRM platform for enhanced sales and marketing alignment.

Google Cloud BigQuery

Google BigQuery is a fully managed data warehouse service that helps businesses analyze massive datasets to gain insights. It's serverless, so you don't need to manage any infrastructure, and it can handle data from various sources. BigQuery is designed for fast query processing, allowing you to quickly explore and analyze your data. It's a powerful tool for data-driven decision-making in any industry, regardless of company size.

mParticle

mParticle is a customer data platform (CDP) that helps businesses understand and use their customer data. It offers a range of features including data collection, identity resolution, customer segmentation, and data activation. mParticle allows you to create a single view of your customers, personalize their experiences, and measure the effectiveness of your marketing campaigns. It's suitable for mid-sized to enterprise-level companies who want a comprehensive platform to manage their customer data.

Palantir Foundry

Palantir Foundry is a software platform designed to help large organizations manage and analyze their data. It brings all your data together in one place, making it easier to find insights, make decisions, and automate operations. Foundry is used by businesses in various sectors, including finance, healthcare, and government. It is known for its advanced security features and its ability to handle very large and complex datasets.

ActiveCampaign

ActiveCampaign is a marketing automation platform designed for businesses of all sizes. It helps you create personalized customer journeys across various channels like email, SMS, and ads. You can automate repetitive tasks, track customer behavior, and improve your marketing campaigns with its CRM and sales automation features. ActiveCampaign integrates with over 900 popular business tools and offers a wide range of pre-built templates and automation recipes to streamline your marketing efforts.

Page co-authored by

Michal Kaczor

CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

Tymon Terlikiewicz

CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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