

Airtable and Cloudera Data Platform compete in the data management and productivity tools category. Cloudera Data Platform has the upper hand in handling big data environments with advanced governance and scaling capabilities.
Features: Airtable offers intuitive relational database capabilities with seamless linking and grid view. It supports scripting, automation, and integrations with platforms like Slack and Gmail. Cloudera Data Platform excels in big data handling using tools like Spark and HDFS, provides strong data governance with Apache Ranger, and offers flexible scaling for hybrid and cloud environments.
Room for Improvement: Airtable needs enhancements in data syncing, API call capacity, and role-based permissions. Improvements in exporting, data handling limitations, and better documentation are suggested. Cloudera Data Platform faces usability challenges for data nodes, improvements in security, handling small files efficiently, enhanced AI support, and simpler configuration processes.
Ease of Deployment and Customer Service: Airtable provides strong public cloud support with easier deployment, focusing on flexibility. Its customer service is positively rated, especially for enterprises. Cloudera Data Platform offers diverse deployment options, praised for strong support, though improvements in response times and simplifying deployment processes are suggested.
Pricing and ROI: Airtable's user-based pricing can be costly for large teams but offers ROI through automation. The free version caters to basic needs, while enterprise plans require sales consultation. Cloudera Data Platform's pricing involves factors like processors and data volume, considered cost-effective for large data operations compared to traditional RDBMS like Oracle. Airtable's ROI is notable for task automation, while Cloudera emphasizes data handling cost savings.
I can automate the process so it automatically populates data into the Airtable base and performs any necessary calculations.
I use it to monitor my performance as a freelancer, checking if I'm doing work and delivering on time.
It helped reduce time spent on organizing and updating data by about 20 to 30%, since everything was centralized and easier to track in real-time.
There are licensing costs that have been saved when we moved some of the data platforms, decommissioned them, and moved on to this platform.
In terms of return on investment, I see great changes in operational effectiveness measured by RTO when comparing on-premises solutions with cloud solutions.
A specific example of the positive impact of Cloudera Data Platform is the clearly saved time and improved performance, which is the main result of it.
We are prepared to go inside their account and impersonate the user's account to identify the root cause of their issues.
Most issues can be solved using their help center and documentation.
I would rate the customer support of Cloudera Data Platform ten out of ten.
I have communicated with technical support, and they are responsive and helpful.
Cloudera support is timely and responsive, adhering to the SLAs they provide.
We have multiple departments, and based on my knowledge of how many clients we have on that particular table, I could say it is more than seventeen thousand clients in the whole database.
It works well as data and tasks grow, but for very large datasets or highly complex workflows, it can become slower and harder to manage compared to more advanced database tools.
CDP allows for easy, mostly automated scalability where I can schedule job workflows, fine-tune system resource metrics, and add nodes with just a click.
They have the cloud burst feature available where if the on-premises capacity is not sufficient at a point in time, you can run that Spark job on the cloud itself.
The ability to scale processing capacity on demand for batch jobs without impacting other workloads, and support for a growing number of concurrent users and teams accessing the platform simultaneously are significant advantages.
There was one instance of a glitch due to AWS having issues with some regions where the app was hosted, but aside from that, Airtable is very stable and reliable.
Sometimes the end user is not experienced or does not have all the expertise related to Cloudera specifically, making it very difficult to manage properly
Sometimes a node goes down, but it automatically returns to a healthy state.
Cloudera Data Platform is pretty stable in my experience; there are not any downtime or reliability issues.
I really want to see a scenario where collaborators working on a project could easily chat, asking questions and discussing changes immediately on the project.
If they show step-by-step guides for automations, this will help them attract more clients who are willing to learn and use their system.
The CRM features in Airtable aren't as advanced as those in Monday.com, which allows for email campaigns.
We aim to address these issues with a Kubernetes-based platform that will simplify the task of upgrading services.
Cloudera Data Platform should include additional capabilities and features similar to those offered by other data management solutions like Azure and Databricks.
Cloudera Data Platform can be improved by addressing the feasibility of using it in the cloud; there are some complexities around the components used in cloud by Cloudera Data Platform that are not really convenient.
For more advanced features such as automation and larger data limits, pricing can become quite high, especially for student budgets, and licensing depends on the team size and required features.
Initially, CDH had a straightforward pricing model based on nodes, but CDP includes factors like processors, cores, terabytes, and drives, making it difficult to calculate costs.
We find Cloudera Data Platform to be cost-effective.
So far, I would say that it is competitive pricing that we have received.
Everybody has a particular base for different purposes, so you add information to those bases, and anybody can access it at any point in time anywhere in the world.
I can integrate Airtable with other platforms; aside from the native integration where I can send notifications to Slack teams and messages to Gmail, I can also connect with Make.com to share data.
We have connected our Slack channel to Airtable; any updates or changes made to Airtable will always reflect in the Slack channel.
By using the Hadoop File System for distributed storage, we have 1.5 petabytes of physical storage with 500 terabytes of effective storage due to a replication factor of three.
The Ranger integration makes it more flexible and reliable for me by allowing control over data access, specifying who can access at what level, such as table level, masking, or data layer level.
What stands out the most in Cloudera Manager are SDX, which provide centralized control for governance, security, and data lineage across multiple sources.
| Product | Mindshare (%) |
|---|---|
| Cloudera Data Platform | 0.6% |
| Airtable | 0.4% |
| Other | 99.0% |


| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 7 |
| Large Enterprise | 26 |
Airtable is recognized for its intuitive operation and robust automation, enhancing data management and collaboration efficiency. It supports a variety of business needs with its flexibility and integration capabilities.
Airtable empowers users with a platform that combines the familiarity of relational databases, data sorting, and custom formulas with the ability to streamline workflows through powerful automation. Its diverse field types, seamless integration with popular tools, and scripting extension significantly enhance data management and reporting processes. Additionally, automatic saving ensures efficient document storage and access, fostering collaboration from any location. Users appreciate the flexibility of its relational databases and grid-like views similar to spreadsheets. While there are sections for enhancement, Airtable remains a flexible tool for project tracking, CRM management, and various operational tasks.
What are the key features of Airtable?In industries like project management, CRM, and database creation, Airtable helps businesses track projects, manage client databases, control inventory, and automate tasks. Organizations leverage its integrative capabilities with tools like Google Workspace and Pipedrive to monitor site visits, manage communications, and address ecommerce requirements, enhancing overall efficiency.
Cloudera Data Platform provides efficient data management through features like Hue, Spark, and Impala. It integrates open-source solutions, supports hybrid environments, and enhances data governance while prioritizing security, scalability, and cost-effectiveness.
Cloudera Data Platform addresses data management needs by supporting large-scale analytics, data science, and ETL processes. It facilitates seamless operation with Ambari UI for deployment and monitoring. Users benefit from robust security via Ranger, open-source compatibility, and a flexible eco-system that uses Hadoop components. While it simplifies setup and supports hybrid workloads, improvements in AI, machine learning, stability in Name Node High Availability, and cost management are ongoing needs. Challenges in tool usability, governance maturity, and scalability call for continued innovation, especially in cloud adoption and staying aligned with open-source technologies.
What are the key features of Cloudera Data Platform?Organizations in banking, healthcare, and hospitality leverage Cloudera Data Platform for data management, analytics, and cross-source integration. It handles complex data structures, bolsters AI workloads, and adheres to data compliance standards while integrating with tools like Spark, Kafka, and machine learning models.
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