

IBM Cloud Pak for Data and Fivetran compete in the data integration and management space. IBM Cloud Pak for Data has the advantage in terms of support and pricing satisfaction, while Fivetran stands out with its robust features that justify its cost.
Features: IBM Cloud Pak for Data integrates diverse data sources, providing a unified platform for AI-driven insights. It offers advanced analytics capabilities and strong governance features. In contrast, Fivetran is known for its seamless data pipeline automation and efficient data connectors, simplifying the ETL process. Its automation and simplicity significantly differentiate it from competitors.
Room for Improvement: IBM Cloud Pak for Data could enhance its deployment simplicity and reduce its complexity for businesses with limited IT resources. Its customer service could benefit from more streamlined processes. Fivetran might improve in providing more personalized support and enhancing its flexibility for complex data processes. The cost structure could be more adaptive to different scales of data usage.
Ease of Deployment and Customer Service: IBM Cloud Pak for Data requires a comprehensive setup and a detailed deployment strategy, which can be complex. It features a notably hands-on customer service providing in-depth assistance. Fivetran, contrastingly, offers a straightforward deployment with plug-and-play functionality, focusing on ease and efficiency. Its customer service is efficient but more tailored to automated processes rather than personalized support.
Pricing and ROI: IBM Cloud Pak for Data typically involves a more substantial initial investment but delivers strong long-term ROI through extensive capabilities and scalable infrastructure. Fivetran, with a lower upfront cost, provides attractive quick return benefits due to its efficient data handling, but its ROI is highly dependent on the volume and complexity of data processes, potentially making it a more costly solution over time.
Fivetran provides time savings, cost reductions, and improvements in data quality.
It saves us the effort of having one to two data engineers managing the tasks that Fivetran handles.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
If they could provide support more quickly, that would be great.
The technical support provided by Fivetran has generally been good, with a response time and competence that I would rate as good.
Customer support from Fivetran is quite good; it's really nice and responsive.
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.
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
They have 99.9% accuracy on the data load and they maintain transparency.
In my experience, Fivetran is stable with very few instances of downtime or reliability issues.
During the duration of the time that we used Fivetran, it was highly stable.
From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
I want more flexibility during ingestion, specifically for transformations needed beforehand.
Fivetran could improve by adapting more for technical users and by providing more options for such users.
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.
Our current yearly contract for Fivetran is approximately $70,000.
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 most valuable feature of Fivetran is its built-in connectors for a wide range of data sources.
The real-time data replication is what I see best in the market where it reduces the overhead of customers needing to maintain the pipeline.
The ability to seamlessly integrate with a large variety of data sources is valuable.
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.
| Product | Market Share (%) |
|---|---|
| Fivetran | 1.7% |
| IBM Cloud Pak for Data | 1.3% |
| Other | 97.0% |


| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 7 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 12 |
Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
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.
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