

Snowflake and Zapier both compete in the data management and automation space. While Snowflake offers robust data warehousing capabilities, Zapier stands out for its seamless integration and ease of use in automating workflows.
Features: Snowflake is praised for scalability, managing large datasets with its distributed architecture, and compatibility with various file formats. Its multi-formatted accessibility and managed service operations simplify data warehousing tasks. Zapier excels with its ability to connect disparate systems, automate workflows, and offer an extensive array of app connections and customization options like webhooks.
Room for Improvement: Snowflake users seek enhanced geo-spatial query support and more intuitive Snowpipe auto-ingest options, alongside clearer pricing and advanced analytics capabilities. Zapier could improve by enhancing its UI, enabling two-way synchronization, and expanding error handling capabilities.
Ease of Deployment and Customer Service: Snowflake operates well across cloud environments, with users noting its comprehensive documentation and customer support, though technical support can be inconsistent. Zapier predominantly runs in public clouds, with users appreciating its responsive service, though some seek more immediate support channels.
Pricing and ROI: Snowflake offers a credit-based pricing model that is flexible but can be unpredictable, though it can lead to significant cost reductions. Its ROI ties to efficient usage. Zapier's tiered pricing benefits startups but can escalate with higher usage. It provides good value for businesses requiring rapid integration, achieving ROI through automation efficiency.
In a scenario where employing three resources for three months might cost approximately $18,000 to $20,000, Zapier provides substantial cost savings.
I received great support in migrating data to Snowflake, with quick responses and innovative solutions.
I am satisfied with the work of technical support from Snowflake; they are responsive and helpful.
The technical support from Snowflake is very good, nice, and efficient.
Their technical support is good; they respond promptly and are very helpful.
This can help if you need assistance, as you can communicate with the community and support system, and most issues are already resolved by AI.
The experience was positive with prompt responses from their team.
Snowflake is very scalable and has a dedicated team constantly improving the product.
The billing doubles with size increase, but processing does not necessarily speed up accordingly.
Recently, Snowflake has introduced streaming capabilities, real-time and dynamic tables, along with various connectors.
Zapier is suitable for small or simpler automation but not for complex ones.
Scaling it gets quite expensive, and while I cannot evaluate it purely from a technology perspective, compared to Workato, I would give Zapier a seven for scalability.
Snowflake is very stable, especially when used with AWS.
Snowflake as a SaaS offering means that maintenance isn't an issue for me.
In my current company, we had significant challenges with Zapier regarding maintenance, as Zaps were often broken, not necessarily due to Zapier, but due to changes in the input variables.
Enhancements in user experience for data observability and quality checks would be beneficial, as these tasks currently require SQL coding, which might be challenging for some users.
What things you are going with to ask the support and how we manage the relationship matters a lot.
If more connectors were brought in and more visibility features were added, particularly around cost tracking in the FinOps area, it would be beneficial.
The error message options in the dashboard should be improved. It should be user-friendly so that beginners or non-technical users can figure out the problems and solutions on their own.
You can build similar or dependent automations in one Zap, which helps with understanding the process without switching between different records.
Having flexibility in creating more complex automation would eliminate the need to transform data within the source or destination.
Snowflake's pricing is on the higher side.
Snowflake lacks transparency in estimating resource usage.
The pricing is in accordance with market standards and even lower in some cases.
The pricing of Zapier is slightly higher compared to other market automation tools such as Pabbly, Make.com, and N8N, which have good features but are priced lower than Zapier.
We had a comparison with Databricks and Snowflake a few months back, and this auto-scaling takes an edge within Snowflake; that's what our observation reflects.
I have used the Snowflake Zero-Copy Cloning feature in the past while prototyping data in lower environments. This feature is helpful as it saves a lot of time during the data replication process.
Snowflake is a data lake on the cloud where all processing happens in memory, resulting in very fast query responses.
They have approximately 7,000 connections.
The automation capabilities are impressive.
Creating integration points through webhooks is particularly useful for anyone working on integration projects.
| Product | Market Share (%) |
|---|---|
| Snowflake | 0.4% |
| Zapier | 0.5% |
| Other | 99.1% |

| Company Size | Count |
|---|---|
| Small Business | 29 |
| Midsize Enterprise | 20 |
| Large Enterprise | 58 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 7 |
Snowflake provides a modern data warehousing solution with features designed for seamless integration, scalability, and consumption-based pricing. It handles large datasets efficiently, making it a market leader for businesses migrating to the cloud.
Snowflake offers a flexible architecture that separates storage and compute resources, supporting efficient ETL jobs. Known for scalability and ease of use, it features built-in time zone conversion and robust data sharing capabilities. Its enhanced security, performance, and ability to handle semi-structured data are notable. Users suggest improvements in UI, pricing, on-premises integration, and data science functions, while calling for better transaction performance and machine learning capabilities. Users benefit from effective SQL querying, real-time analytics, and sharing options, supporting comprehensive data analysis with tools like Tableau and Power BI.
What are Snowflake's Key Features?
What Benefits Should You Look for?
In industries like finance, healthcare, and retail, Snowflake's flexible data warehousing and analytics capabilities facilitate cloud migration, streamline data storage, and allow organizations to consolidate data from multiple sources for advanced insights and AI-driven strategies. Its integration with analytics tools supports comprehensive data analysis and reporting tasks.
Zapier connects thousands of apps, enabling seamless automation without coding. It supports webhooks, multi-step tasks, and a wide array of integrations. Despite needing enhancements in Google Sheets capabilities, API limits, and UI, it remains a tool for boosting productivity across many sectors.
By linking tools such as Google Sheets, HubSpot, Slack, and Salesforce, Zapier allows users to automate workflows without coding expertise. Its integrations serve logistics operations, CRM, and social media management. Users can process tracking exceptions and streamline operations with third-party software like QuickBooks, Zoho, and Power BI. Although users suggest features like better Google Sheets handling and improved collaboration tools, Zapier continues to provide expansive automation, enhancing efficiency and facilitating new opportunities through integrations.
What Features Stand Out in Zapier?In logistics, Zapier enhances operations by automating exception tracking and third-party software integration. Its use in CRM and social media streamlines lead creation and workflow automation. Users from diverse industries leverage its extensive connectivity to support intelligence management, generate analytical insights, and execute cross-functional tasks efficiently.
We monitor all AI Software Development reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.