IBM Planning Analytics vs Pyplan Quota Planning
IBM Planning Analytics
ibm.comPyplan Quota Planning
pyplan.comSide by side
| Figure | IBM Planning Analytics | Pyplan Quota Planning |
|---|---|---|
| Price from | $875/mo | — |
| Free plan | — | — |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| Linux | Yes | — |
| iOS | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 4 | 3 |
| Spec score · Revenue Planning Software | 9.1 (#1) | 7.0 (#22) |
| Deployment | IBM Planning Analytics is offered as fully managed SaaS, on IBM Cloud Pak for Data, or on premises with IBM Planning Analytics Local. | The pricing page lists Pyplan cloud on AWS and, for Enterprise, PaaS with Kubernetes; Pyplan's privacy policy also refers to customer-hosted and on-premises deployments. |
| Headquarters | Armonk, New York, United States | Pyplan lists Buenos Aires, Argentina, as its headquarters. |
| Purpose | IBM Planning Analytics is an AI-powered planning and analytics platform powered by the IBM TM1 database that unifies business planning in one governed platform. | Quota Planning uses historical data, market potential, team capacity, and dynamic scenarios to define sales goals. |
| Support | IBM Support provides cases, fixes, technical documentation and known issues for Planning Analytics products, and requires an IBM Customer Number and site-administrator approval. | Pyplan describes ongoing technical and functional support, industry-adapted training, implementation with specialized partners, and learning resources. |
Plans
IBM Planning Analytics
- EssentialsPriced on request
- Essentials$875 a month
- StandardPriced on request
- PremiumPriced on request
Pyplan Quota Planning
- EnterprisePriced on request
- StarterPriced on request
- TeamsPriced on request
In their own words
IBM Planning Analytics
IBM Planning Analytics has no write-up on Specifiction yet; its figures are above.
Pyplan Quota Planning
Pyplan Quota Planning is a paid quota-planning module available through API, self-hosted, and web deployments. It defines sales goals using historical data, market potential, seller capacity, and dynamic scenarios. Quotas can be allocated by vendor, team, region, channel, product, or customer, and built directly from a financial plan. Scenario tools model changes to objectives, product mix, headcount, and territories, then assess effects on revenue, margin, and incentives. Capacity analysis includes seller productivity, new-seller ramp-up, and market potential. Versioning, validations, adjustments, rules, and traceability support governance. Dashboards show quota achievement, gaps, risks, and effects on forecasts and financial results. Connections include spreadsheets, databases, ERPs, CRMs, external APIs, ETL links, and a Microsoft Office add-in. Pyplan lists cloud on AWS, Enterprise PaaS with Kubernetes, and customer-hosted or on-premises deployments. Pricing is on request, with Starter, Teams, and Enterprise capacity tiers.