

Alteryx and Anaplan are prominent players in the data analytics and business modeling categories, respectively. Alteryx holds the upper hand in data manipulation and ease of use, while Anaplan excels in complex modeling and collaborative capabilities.
Features: Alteryx is known for its intuitive drag-and-drop interface that allows non-coders to blend and prepare data seamlessly. It supports predictive analytics and integrates with Tableau for advanced visualizations. Its in-database analytics and machine learning capabilities stand out. Anaplan provides flexible modeling, comprehensive integration with cloud-based platforms, and excels in multi-dimensional analysis. Its collaborative planning features make it suitable for large-scale forecasting and business management.
Room for Improvement: Alteryx could improve its visualization tools and reduce reliance on external solutions like Tableau. Enhancing user interfaces and adding more advanced statistical tools are also suggested improvements. Anaplan needs to upgrade its dashboard capabilities and collaborative features, with an emphasis on better API integration. Its flexibility, while a strength, can also lead to complexity that requires a knowledgeable user base.
Ease of Deployment and Customer Service: Alteryx operates effectively in both on-premises and private cloud environments, backed by robust community support. However, its cloud deployment can be costly. Anaplan is primarily cloud-based, which simplifies access and supports scalability, though it may not suit those preferring on-premises options. Both platforms have strong community resources, with Anaplan's support perceived as slightly more efficient in cloud-centric environments.
Pricing and ROI: Alteryx's pricing is considered high, with the cost of designer licenses being a barrier. Despite this, users experience significant ROI due to increased process efficiency. Anaplan's pricing reflects its value in complex scenarios, though the high entry cost might deter smaller enterprises. Its ROI is notable when transitioning from traditional tools like Excel for planning and forecasting.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Alteryx would actually save time and a lot of money and effort for the team and increase efficiency.
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
I contacted customer support once or twice, and they were quick to respond.
The customer service was not good because we weren't premium support users.
Customer support is good since I've had no issues and can easily contact representatives who respond promptly.
The technical support from Anaplan is amazing, with a dedicated team to assist in case of any issues.
We are getting the kind of support that we need from Anaplan.
Alteryx can be scaled to different machines or scaled up with different servers and deployed in the cloud.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Alteryx is scalable, and I would give it eight out of ten.
Anaplan had issues before, but the new Polaris engine solves them.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
If any kind of history can be captured on the front-end UX page, that would be really appreciated and helpful.
Anaplan cannot perform some tasks handled by Planning Analytics due to their different foundations, Anaplan on Hyperblock technology and TM1 on OLAP.
One improvement that could be added to Anaplan is to stabilize the models when data complexity increases, allowing us to manage our time and space well.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
It has a fair price when considering a larger-scale implementation.
Currently, Anaplan is more expensive compared to other tools.
The pricing is slightly on the premium side, but I do not have detailed knowledge about the exact licensing structure.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
Anaplan's connected planning feature is its most valuable aspect, allowing for seamless financial planning, HR planning, and updates.
The integration is very seamless compared to any other tools in the market, making Anaplan quite easy to integrate with different tools.
I like about Anaplan the simplicity and the way it makes reporting easier and planning is broken down well.
| Product | Mindshare (%) |
|---|---|
| Alteryx | 7.9% |
| Anaplan | 5.6% |
| Other | 86.5% |

| Company Size | Count |
|---|---|
| Small Business | 32 |
| Midsize Enterprise | 16 |
| Large Enterprise | 54 |
| Company Size | Count |
|---|---|
| Small Business | 10 |
| Midsize Enterprise | 5 |
| Large Enterprise | 17 |
Alteryx provides user-friendly, no-code tools for data blending, preparation, and analysis. Its drag-and-drop interface and in-database capabilities simplify integration with data sources while maintaining data integrity.
Alteryx offers a comprehensive suite for automation of data workflows, reducing manual tasks and enhancing processing efficiency. Known for robust predictive and spatial analytics, it effectively handles large datasets. The platform's flexibility allows for custom script deployments, supported by a strong community. However, Alteryx faces challenges with high pricing, lack of cloud support, and limited data visualization tools. Users express a need for more in-built data science functionalities, improved API integration, and a smoother learning curve. Connectivity and documentation gaps, along with complex workflows, are noted concerns, suggesting areas for enhancement. Alteryx is widely used for tasks like ETL processes, data preparation, predictive modeling, and report generation, supporting functions like financial projections and spatial analysis.
What features define Alteryx?Alteryx is implemented across industries for diverse needs such as anomaly detection in finance, customer segmentation in marketing, and tax automation in auditing. Teams leverage its capabilities for data blending and predictive modeling to enhance operational efficiency and address specific business needs effectively.
Anaplan delivers a comprehensive cloud platform designed for three-dimensional data analysis, visualization, and planning. Known for real-time integration with systems such as Salesforce, it enables efficient budgeting, reporting, and modeling without extensive coding knowledge.
The Anaplan platform enhances operational efficiency with its flexible and scalable capabilities, supporting financial planning, supply chain management, and sales operations among others. Users benefit from features like an advanced in-memory calculation engine, quick updates, and ease of integration with systems like SAP. While Anaplan offers a robust toolset, enhancements in dashboard capabilities and integration processes are needed, with improvements requested in visualization tools, more flexible graphs, and better API integration. Additional desires include machine learning features and streamlined data import processes to reduce latency.
What are the key features of Anaplan?In industries like financial planning, supply chain management, and sales operations, Anaplan facilitates scenario-based analysis, demand forecasting, and business execution. It is employed in marketing, commercial real estate planning, and integrates easily with existing systems. Users in these sectors find it valuable for improving planning accuracy and responsiveness.
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