

Zapier and IBM Cloud Pak for Data compete in the integration and data management space. Zapier stands out with its ease of use and flexibility in automation setups, while IBM Cloud Pak holds an advantage in data-intensive tasks through its advanced analytics and data management capabilities.
Features:Zapier offers seamless integration with countless applications, simplifying automation with a vast array of 'Zaps' for workflow automation without coding. It excels in user friendliness, enabling quick setup with drag-and-drop capabilities. IBM Cloud Pak for Data includes features like Watson Knowledge Catalog for data governance, robust data virtualization, and strong machine learning capabilities, ensuring a comprehensive approach to data management and advanced analytics.
Room for Improvement:Zapier could improve its Google Sheets integration to enhance reliability and error reporting. Expanding its range of actions and connectors would be beneficial. IBM Cloud Pak for Data should address performance issues and simplify its integration processes. Streamlining the installation process and reducing high resource demands could improve user experience.
Ease of Deployment and Customer Service:Zapier is praised for its straightforward setup on Public Clouds, though it could benefit from real-time chat and direct support options. IBM Cloud Pak for Data offers comprehensive support across Public and Hybrid Clouds, but its resource-intensive setup can complicate deployment. Zapier's deployment is simpler, whereas IBM Cloud Pak offers robust traditional support.
Pricing and ROI:Zapier's pricing is considered high, especially for complex workflows, but its automation efficacy offers good ROI. IBM Cloud Pak for Data, while seen as expensive, justifies its cost with advanced capabilities suited for large enterprises. Both platforms deliver significant value tailored to different business needs and scales.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
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.
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.
Customer support should be more responsive and reach and respond on time.
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.
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.
I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in.
I do not know if Cognos has all the features that users are looking for since we provide it as our standard and do not maintain infrastructure for other tools.
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 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 | Market Share (%) |
|---|---|
| Zapier | 0.7% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 98.0% |

| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
| 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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