

Zapier and IBM Cloud Pak for Data compete in the automation and data management category. Zapier shines in automation simplicity, whereas IBM Cloud Pak for Data excels in comprehensive data management.
Features: Zapier facilitates seamless automation across multiple applications, ideal for straightforward integrations without code. It provides a vast array of integrations and strong automation capabilities for efficient data movement. IBM Cloud Pak for Data offers robust data analytics and management tools with advanced AI capabilities, suitable for enterprises focusing on extensive data governance and machine learning.
Room for Improvement: Zapier should expand its Zaps library and enhance API connections, focusing on improving the usability of its Zap builder and user interface. Users also suggest advancements in complex workflow capabilities and more intuitive integrations. IBM Cloud Pak for Data could streamline its installation and administration processes and improve its integration with cloud services, alongside optimizing performance and pricing.
Ease of Deployment and Customer Service: Zapier, usually deployed on public cloud platforms, is lauded for its user-friendly setup that reduces the need for technical assistance, though support experiences vary. IBM Cloud Pak for Data supports deployment on public, private, and hybrid clouds, although its initial setup can be complex, particularly for smaller deployments. It generally receives positive feedback on technical support, but some users mention responsiveness as an area for enhancement.
Pricing and ROI: Zapier offers flexible pricing, with a free plan for basic use and costs increasing with usage and features, deemed cost-effective for automating multiple workflows. IBM Cloud Pak for Data, however, is seen as pricier and tailored for larger enterprises needing its extensive feature set, offering project-based pricing and substantial ROI through enhanced data management and AI features.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
In a scenario where employing three resources for three months might cost approximately $18,000 to $20,000, Zapier provides substantial cost savings.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
The customer support for IBM Cloud Pak for Data is great and responsive.
I would rate IBM's support at about a seven or eight out of ten because we have good support coverage owing to our long association with IBM.
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.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
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.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
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.
The setup cost is very expensive.
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
The list price is high, but the flexibility in pricing is adequate.
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.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
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 | Mindshare (%) |
|---|---|
| IBM Cloud Pak for Data | 1.3% |
| Zapier | 0.8% |
| Other | 97.9% |

| Company Size | Count |
|---|---|
| Small Business | 8 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 7 |
IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.
Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.
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.
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