Zapier and Matillion Data Productivity Cloud are significant competitors in the integration and automation category. Zapier's proficiency in automation and seamless app integration gives it an advantage in creating business rules and workflows without coding, while Matillion's robust ETL capabilities and AWS integration make it excel in data transformation tasks.
Features: Zapier facilitates automation by integrating a wide range of applications, enabling users to create flexible workflows without coding. Its no-code automation tool saves development time by connecting different applications, and its extensive documentation provides abundant resources. Matillion Data Productivity Cloud boasts strong ETL capabilities, seamless integration with AWS services, and data-handling simplicity through built-in verification. Its interface caters to non-technical users by providing intuitive data manipulation tools, and it supports real-time data transformations for highly efficient processes.
Room for Improvement: Zapier could enhance its service by expanding app support, improving UI for logical flows and error reporting, and offering more action types such as delete actions. Users also call for improved customer support. Matillion could improve by increasing update frequency to accommodate API changes, enhancing scalability, and expanding integration with additional data sources. Users seek better performance with streamlined API release processes.
Ease of Deployment and Customer Service: Both Zapier and Matillion offer seamless cloud deployment options. However, customer service experiences differ, as Zapier lacks on-demand support options like live chat, causing delays in issue resolution. Matillion provides more consistent and prompt support, with higher satisfaction ratings from users for its effective assistance.
Pricing and ROI: Zapier's tiered pricing includes a useful free plan for low-volume tasks, though higher tiers can appear costly. Users find value in the time savings and automation benefits, often seeing significant ROI. Matillion's consumption-based pricing on AWS offers flexibility but can become expensive with large data loads. Users appreciate its integration strengths, supporting the expenditure with efficiency gains, though costs can potentially affect satisfaction based on individual usage scenarios.
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.
The experience was positive with prompt responses from their team.
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.
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.
While Zapier already has more than 2,000 webhooks, users or developers should have the flexibility to create additional custom connectors.
Having flexibility in creating more complex automation would eliminate the need to transform data within the source or destination.
You can build similar or dependent automations in one Zap, which helps with understanding the process without switching between different records.
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.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
Zapier is integrated with most applications I have been using, making it helpful for integration within any platform.
They have approximately 7,000 connections.
Creating integration points through webhooks is particularly useful for anyone working on integration projects.
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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