Zapier and Matillion Data Productivity Cloud compete in the automation and data management category. Zapier tends to have an edge due to its extensive integrations and user-friendly interface, making it more accessible to a broader audience.
Features: Zapier provides a vast array of integrations, including applications like Slack, Gmail, and Salesforce, enabling easy automation without code. Its multi-step workflows and drag-and-drop interface make it highly user-friendly. Matillion offers robust ETL capabilities, with seamless integration into Amazon Redshift and AWS services, streamlining complex data processing tasks.
Room for Improvement: Zapier could improve its handling of complex business logic without custom code and expand integrations with lesser-known applications. Enhancements in error reporting and user collaboration would be beneficial. Matillion could improve scalability and expand its integration capabilities with various data sources. Updating its platform to reflect changing API ecosystems and supporting more data platforms like SAP could enhance its offerings.
Ease of Deployment and Customer Service: Zapier offers straightforward deployment with ample community support, though adding direct support options like chat could improve the experience. Deployment via AWS Marketplace simplifies Matillion setup, though private or on-premises setups add complexity. Matillion's technical support is noted for responsiveness.
Pricing and ROI: Zapier can be costly but is seen as worthwhile due to time savings and efficiency gains, reducing the need for developer involvement. Matillion uses an hourly cost model via AWS, offering scalability but can become expensive for large-scale processing. Its pricing, influenced by specific deals, positively impacts ROI for some businesses.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
In a scenario where employing three resources for three months might cost approximately $18,000 to $20,000, Zapier provides substantial cost savings.
They communicate effectively and respond quickly to all inquiries.
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.
Sometimes, in my early days, when I was stuck with something, they helped me solve these issues, and even helped me solve some of my automations.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
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.
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.
Connections to BigQuery for extracting information are complex.
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.
I would appreciate if there would be a feature where we can use actions right after loops. Currently, you cannot use any other action after the loop. Everything needs to be within the loop.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
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.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
They have approximately 7,000 connections.
Even a person with no technical knowledge can use Zapier to create automations.
The automation capabilities are impressive.
Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
Zapier is a tool for primarily non-technical users to connect together web apps.
An integration between two apps is called a Zap. A Zap is made up of a Trigger and one or more Actions or Searches.
Whenever the trigger happens in one app, Zapier will automatically perform the actions or searches in another app in order.
Zaps are very lightweight and easy to set up. Zaps do not import or export old data (they only operate on new items created after the Zap is enabled). Zaps are also not kept in sync ("two way syncing") after the Zap is triggered.
Zaps are deceivingly simple if you're used to dealing with complex and difficult integrations. Their simplicity is what enables anyone to create them.
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