Top 8 Oracle EPM competitors in 2025

Oracle EPM is a heavyweight EPM system with FP&A capabilities. But is it the best tool for your business? Well, that depends.

Unless you’re a very large enterprise with complex needs, you may find working with Oracle EPM akin to running Monte Carlo simulations on employee parking expenses. The good thing is, there are plenty of other solutions better suited to the needs of mid-market businesses and enterprises. 

We created this guide to help you quickly explore the top Oracle EPM alternatives to find one that may be better suited to your unique needs. But first, let’s take a closer look at Oracle EPM.

What is Oracle EPM?

Oracle EPM, or the Oracle Fusion Cloud EPM, is a cloud-based enterprise performance management platform. It helps businesses model, plan, forecast, and report across finance, HR, sales, supply chain, and more. It’s designed to provide enterprise-wide, cross-functional planning. It offers strong integration with other Oracle products, which is especially beneficial for organizations with existing investments in the Oracle ecosystem. 

There’s also a flip side to these strengths. While it is a feature-rich platform, Oracle Cloud EPM Planning users struggle with its inherent complexity, which requires extensive training to use it effectively. This complexity also leads to long implementation times, which, combined with the third-party support typically required, can significantly delay time to value and significantly drive up the cost of ownership. For many businesses and even some enterprises, Oracle Cloud EPM Planning can introduce more process inefficiencies than it solves.  

Key FP&A features of Oracle EPM:

• Budgeting and forecasting: Supports multi-entity, multi-period planning with versioning, hierarchical structures, and rolling forecasts.
• Scenario modeling: Enables “what-if” analyses and driver-based simulations to evaluate financial outcomes and strategic options.
• Analytics and dashboards: Offers real-time dashboards, variance analysis, and visualizations to monitor performance and inform decisions
• Compliance and audit reporting: Ensures adherence to regulatory requirements with built-in controls and audit trails.

Features and capabilities of Oracle EPM AI

• Predictive forecasting: The system can recommend paths forward, validate assumptions, and help reduce risks via automated scenario models (and yes, this includes Monte Carlo simulations).
• Smart insights and pattern recognition: Oracle’s “Intelligent Performance Management” uses data science/ML to spot patterns and highlight opportunities or issues.
• AI-guided digital assistant: Embedded assistant/digital agent that helps with tasks, gives recommendations and updates, and provides instant responses on critical tasks.
• Automation and intelligent process automation: Tasks like consolidations, reconciliations, and account matching are automated when predefined conditions are met.

Why choose Oracle EPM?

• Automation: The platform helps automate repetitive and tedious tasks like reconciliations, matching, consolidations, and cash forecasting, freeing up your team’s time for strategic work.
• Unified suite with embedded intelligence: Oracle EPM’s AI/ML features are accessible to other Oracle tools via their integration to provide a unified, connected intelligence built on shared data.  

What to consider before choosing Oracle EPM?

• Long learning curve: Users report that the platform can be cumbersome and less intuitive than some purpose-built FP&A solutions. Teams often need extensive training to use its features effectively, and its AI features may require careful tuning and adoption support to deliver full value. 
• Implementation complexity: Implementation requires significant planning and costly third-party support. Businesses requiring multiple modules, complex integrations, and/or extensive customization can expect implementation times ranging from 6-12 months.
• Integration complexity: Integration with non-Oracle systems is complex and may require extra middleware, adding additional costs.
• Performance issues: System performance can suffer with very large datasets or complex calculations. Some users report that data refreshes 4-6 hours and can become unstable. Oracle EPM, adding that its frequent mandatory updates can sometimes disrupt their workflows.
• Customization required for AI features: Advanced AI insights may need configuration to fully deliver value.

Top Oracle EPM alternatives

‍Drivetrain

Drivetrain is a comprehensive, AI-native FP&A solution built for enterprise companies. The platform automates data consolidation to support connected planning and give finance professionals real-time visibility into their business in seconds. Under the hood, Drivetrain offers a powerful, multi-dimensional modeling engine that supports the full range of enterprise FP&A needs—strategic and operational planning, forecasting and scenario analysis, financial consolidation and reporting, and performance management. It also facilitates rapid planning, re-forecasting, and reporting, all while adjusting effortlessly to the growth and complexity of the business. 

Drive AI is a suite of powerful AI tools that leverages Drivetrain’s large integration ecosystem (800+ native data connectors). The AI automatically transforms your data according to predefined rules as it flows into the platform and monitors it continuously, instantly alerting you of any anomalies. With Drive AI, your team can automate many of their manual, data-related tasks and, with simple conversational prompts, instantly extract information they can trust and use to inform their analysis and decisions.

Key FP&A features and capabilities

• Multi-dimensional financial modeling: Supports complex, driver-based models that accurately reflect the complexity of your business and customized, dynamic dashboards that allow users to drill into the data behind the results.  
• Scenario planning and what-if modeling: Define multiple forecast types, test hypotheses, and run multiple scenarios for revenue, expenses, headcount, etc. 
• Variance analysis: Real-time rolling budgets with actual vs. budget/forecast analysis and root cause analysis of deviations
• Multi-entity, multi-currency consolidation and intercompany eliminations: Performs financial consolidation across multiple ERPs/entities with proper handling of currencies and intercompany transactions.

How does Drivetrain use AI?

• AI modeling: The platform provides automated scenario generation and predictive analytics to help organizations identify hidden risks and opportunities, and can build baseline models from the data in connected systems with just one click. 
• Anomaly detection and alerts: Drive AI leverages Drivetrain’s integration ecosystem of more than 800+ native data connectors, continuously monitoring data pipelines for inconsistencies or unusual variances and instantly alerting you via an in-app notification, email, or Slack.
• AI data transformation: The AI automatically transforms your data according to predefined rules as it flows into the platform, so it arrives model-ready. You can also prompt Drivetrain with natural language prompts to merge datasets, add metrics, or filter without complex formulas.
• Conversational querying: You can ask Drivetrain questions about data and instantly receive contextual insights. For example, your team might ask, “Why did revenue drop last month?” and Drivetrain might respond, “One of your enterprise customers terminated its contract last month, causing revenue to drop sharply.”

Drivetrain vs. Oracle EPM

In comparison to Oracle EPM, Drivetrain is easier to use, faster to deploy, and as an AI-native platform, offers built-in AI-powered features that finance professionals need today. Drivetrain implementation takes a fraction of the time Oracle EPM requires, with most customers fully onboarded within 4-6 weeks without the added cost of third-party support. It’s ranked #1 on G2 for ease of use, so it doesn’t require extensive training either. 

If you are a large enterprise needing a system capable of supporting connected planning across finance, operations, and multiple lines of business, a system like Oracle EPM could be a good option. But, if you need an Oracle EPM alternative unencumbered by complexity that offers the power, speed and agility that only a purpose-built, enterprise-level FP&A platform can provide, Drivetrain is one to put at the top of your list. 

Anaplan

Anaplan is another traditional EPM platform best suited to large, complex organizations that need a unified system for connected financial and operational planning across all business functions and lines of business. Its FP&A capabilities are part of a larger set of platform capabilities and include many of the core features finance teams need, such as scenario modeling, variance analysis, and forecasting, with options for both top-down and bottom-up planning. 

While not an AI-native platform, Anaplan offers a suite of AI features. Collectively marketed as Anaplan Intelligence, these features layer predictive analytics, generative AI capabilities, and conversational intelligence on top of its core platform to extend its FP&A capabilities, most notably, in the areas of financial forecasting and planning.

Key FP&A features and capabilities

• Driver-based financial modeling: Provides tools to build, test, and adjust models that isolate the impact of key business drivers across actuals and forecasts, tracking cost and profitability at granular levels.
• Multi-dimensional modeling: Supports complex, multi-dimensional financial and operational models across the entire organization with 
• Scenario planning: Supports dynamic scenario planning, enabling companies to model multiple financial and operational outcomes simultaneously and run large-scale what-if scenarios. 
• Financial reporting: Offers comprehensive reporting tools with interactive dashboards and custom visualizations

How does Anaplan use AI?

• PlanIQ and Optimizer: Adding PlanIQ and Optimizer modules extends Anaplan’s forecasting capabilities with an ML forecasting engine (PlanIQ) and mathematical optimization tool (Optimizer) to address complex multi-dimensional forecasting and planning challenges. 
• Anomaly detection: Continuously monitors data in the system, applying ML techniques to identify potential issues early and trigger workflows or alerts.
• Bring your own ML/OpenML model: Gives you the option to integrate external ML models into Anaplan’s planning environment.
• Generative and conversational assistant: Lets you ask questions, ask for insights in natural language, generate scenario suggestions, and interact with planning models more intuitively.

Anaplan vs. Oracle EPM

As large-scale, enterprise-level EPMs, both Anaplan and Oracle EPM are designed for connected planning across entire organizations as opposed to FP&A specifically. Implementation times are similar, and both typically require third-party assistance. 

Oracle emphasizes scalability, security, and deep integration capabilities, making it suitable for multinational corporations seeking a unified solution across various business functions. However, integrations with systems other than those in the Oracle ecosystem are complex and often require middleware and specialized expertise. 

In contrast to Oracle EPM. Anaplan emphasizes flexibility and agility. Its Hyperblock™ technology enables in-memory computing, allowing for real-time calculations and scenario modeling. While implementation can be a long haul, once up and running, these capabilities and focus on collaborative planning makes Anaplan an Oracle EPM alternative worth considering.   

Pigment

Pigment is an AI-powered business planning and performance management platform designed for flexibility and scale. It offers multi-dimensional planning capabilities and scenario planning, including strong what-if analysis. The platform provides real-time performance analytics to help enterprises make informed decisions. It also provides predictive forecasting capabilities, but its statistical models require manual validation of forecasting assumptions. Pigments AI features  include multiple AI agents that understand business logic, can detect risks and opportunities, and automate reporting. 

Pigment offers a modern, intuitive user interface that resembles a spreadsheet and strong visualization tools. However, users report a steep learning curve, with API setups (needed due to the extremely limited number of native integrations Pigment offers), and especially its formula syntax, which users say is non-intuitive and can make building models difficult. Some users have also noted visual formatting constraints (e.g. chart formatting, UI design) and limitations around access controls and versioning. Given these challenges, teams will need to be willing to spend some time experimenting with different features to get the full value of an investment in Pigment.  

Key FP&A features and capabilities

• Scenario planning: Lets you simulate business scenarios and test your assumptions with scenario modeling and what-if analysis.
• Multi-dimensional modeling: Provides the capacity to model data across dimensions (e.g., entity, region, accounts) and supports bottom-up and top-down forecasts and driver-based planning.
• Real-time updates and rolling forecasts: Allows finance teams to continuously update forecasts and see changes reflected quickly across dashboards and reports.
• Visualization and reporting dashboards: Offers clean, modern dashboards with the ability to share reports and control views. 

How does Pigment use AI?

• Planner Agent: Acts on insights by proposing structured next steps based on goals and market context. Whether updating weekly forecasts or stress-testing scenarios, the Planner Agent handles the heavy lifting automatically.
• Modeler Agent: Builds and optimizes your planning models. It flags model inefficiencies, updates workflows, and ensures models stay clean and accurate as your business evolves. 
• Analyst Agent: Scans both internal and external data sources to surface trends, detect anomalies, and reveal what’s driving your key metrics. It delivers insights in dashboards, visuals, or even narrated audio, helping you quickly understand performance shifts.
• Conversational queries and prompts: Allows you to ask questions in plain text to visualize or interrogate data, build modeling blocks, forecast, or understand variances.

Pigment vs. Oracle EPM

Pigment stands out when you need speed and intelligent assistance in planning, including easy-to-use features such as scenario modeling, variance analysis, etc. For businesses in fast-changing industries where assumptions shift quickly, Pigment’s approach to forecasting and modeling lends an agility that Oracle EPM cannot match. 

At 3-6 months, you can expect a Pigment implementation to take about half the time an Oracle EPM implementation would require, though it often requires third-party support to get fully up and running on the platform, especially if your business is complex and you need a lot of  customization. 

Planful

Planful focuses on helping FP&A teams plan, budget, forecast, consolidate, and report more efficiently. While FP&A teams work on budgets, forecasts, and other things, Planful ensures they can collaborate with other teams, whether that’s finance, accounting, or sales, on a single platform. This is particularly useful for companies that prioritize cross-functional collaboration when building budgets and forecasts. 

The platform supports multiple modeling types and dynamic planning, with what-if scenario modeling, and the ability to add or modify dimensions and calculations on the fly to explore financial outcomes in real time. However, users have reported limitations when handling very large models, which can lead to performance slowdowns or user interface constraints. This is especially relevant for very large organizations with complex modeling needs. With only eight dimensions, Planful may be insufficient to model the complex planning scenarios many enterprise finance teams face today. 

The platform also offers Planful AI, a suite of AI-powered tools that speed up financial processes. These tools include AI assistants, anomaly detection, AI forecasting capabilities, and other tools to automate routine tasks.

Key FP&A features and capabilities

• Structured planning, consolidation, and reporting: Supports financial close processes, including consolidations, standard reporting, and management / statutory reporting aligned with planning data.
• Financial close management: Planful automates close processes to reduce errors and accelerate reporting timelines.
• Scenario planning: Supports scenario modeling to help you test assumptions and business strategies under various business conditions.
• Model attributes and alternate hierarchies: Allows defining attributes on dimensions (such as cost center, and region) and alternate roll-ups for reporting and analysis flexibility. 

How does Planful use AI?

• Anomaly detection: Planful can surface discrepancies or unusual trends (e.g., variances) and categorize risks. 
• Predictive forecasting: Uses historical actuals to assist with forecasting and trend prediction, helping reduce forecast error and improve planning accuracy.
• ML forecasting: Planful offers ML models that generate forecasts and budgets using historical data, seasonality, and trends, and include guardrails to reduce bias.
• Persona-based AI assistants: Planful’s Analyst, Planner, and Controller are AI assistants, tailor-made for different roles that help with scenario building, narrative generation, and variance report generation.

Planful vs. Oracle EPM

Planful caters to organizations seeking a user-friendly solution that emphasizes rapid deployment and collaboration across departments. Its pre-configured platform and integration with Microsoft tools provide a streamlined approach to financial planning and analysis, and in contrast to Oracle EPM, is much easier to learn. 

Planful’s integration ecosystem is pretty limited in comparison to Oracle EPM, which could be limiting for very large organizations with a complex finance tech stack to deal with. However, Planful is a strong contender if you want a modern FP&A platform that covers all the basics, offers ease of use and good collaboration features along with faster cycle times.  

Workday Adaptive Planning

Workday Adaptive Planning is a cloud-based EPM solution that facilitates planning across multiple business areas. The platform supports all the FP&A essentials, such as forecasting, collaborative budgeting and planning, and reporting. However, its modeling capabilities are more suited to conventional financial planning approaches as opposed to complex, multi-dimensional analysis. It also provides features for financial and operational performance analysis.

Setup, configuration, or advanced customization can be complex, often requiring third-party consultants. In addition, users also report that the formulas and calculations can be difficult to manage. So, you’ll need someone on your team who has strong knowledge of modeling and a willingness to invest the time learning how to use Workday Adaptive Planning to use those features effectively.

Key FP&A features and capabilities

• Multi-dimensional modeling: Enables finance teams to build complex, multi-entity models with many dimensions (e.g., cost center, time, scenarios).
• Budgeting and forecasting: Supports multiple forecasting methods (rolling forecasts, driver-based, top-down/bottom-up), versioned budgets, and what-if scenario modeling.
• Workforce planning: Includes guided bottom-up workforce planning, integrating HR or headcount data, to help align headcount, labor cost, attrition, and hiring needs with financial plans.
• Reporting, dashboards, and collaboration: Strong reporting capabilities, dashboards, drill-through, sharing, scheduled reporting; collaboration features like comments/tagging in dashboards.

How does Workday Adaptive Planning use AI?

• AI forecasting and scenario modeling: Automatically generates forecasts by blending historical financials with operational data like hiring velocity and sales pipeline. The system adapts to new data and lets teams easily model different scenarios.
• Anomaly detection and intelligent variance analysis: Flags unusual patterns in your metrics and identifies key drivers and trends in deviations from plan vs. actuals, providing explanations or commentary.
• AI-driven planning assistant: A conversational interface enables natural language queries about your data and recommends actions based on generative AI, helping guide planning workflows.
• Predictive forecasting: Incorporates ML to leverage historical and external data to forecast more accurately.

Workday Adaptive Planning vs. Oracle EPM

In contrast to Oracle EPM, Workday Adaptive Planning offers a more agile planning solution with shorter implementation times. The platform’s emphasis on collaboration and ease of use makes it an attractive option for companies aiming to modernize their financial planning processes without the high implementation costs and IT overhead associated with ongoing maintenance. While Workday Adaptive Planning does take time to learn, its strong FP&A features and quick insights can make it a worthy Oracle EPM competitor. 

Prophix

Prophix is a mid-market and enterprise FP&A software that offers comprehensive budgeting and planning with features including financial forecasting, scenario modeling, and financial reporting with solid automation and controls. It also provides financial consolidation, intercompany management, and account reconciliation, enabling cross-functional planning and close activities in a unified platform.

The platform also offers a suite of generative AI agents called Prophix One Intelligence. These AI tools leverage natural language processing to allow finance teams to get assistance with several kinds of FP&A tasks, such as transaction matching, report generation, predictive forecasting, and model building using plain-English prompts.

Key FP&A features and capabilities

• Budgeting and forecasting: Advanced predictive forecasting, variance analysis, handling large and complex FP&A models.
• Financial close and consolidation: Account reconciliation, intercompany management, automating parts of the close, and reducing manual consolidation steps with transparency and audit trails.    
• Reporting and analytics: Dashboards, drill-downs, self-serve reporting, visualizations, “reporting agent” tools for summary to detail analysis.
• FP&A Plus with scale and speed: Prophix is designed to handle large datasets and complex calculations with performance, allowing faster scenario planning and iteration without sacrificing responsiveness. 

How does Prophix use AI?

• Prophix Copilot: Instead of manually setting up models, finance teams can use plain-English commands like “Build me a cash flow scenario with a 5% revenue drop.” Prophix instantly creates structured models, making scenario planning faster and more accessible.
• Predictive forecasting and scenario simulation: Uses historical data, trends, and predictive models to forecast future outcomes and allow finance teams to compare best-, base-, and worst-case scenarios, stress-test assumptions, and quickly adjust drivers as needed.
• Report insights and natural language summaries: Ability to auto-generate narrative explanations of reports, variance commentary, and plain-English summaries of charts and other visual data representations. 
• Conversational interface: Users can ask questions in plain language (like “What’s causing this variance?”) and get insights or visuals without manually diving into data.

Prophix vs. Oracle EPM

Oracle EPM offers a comprehensive EPM designed for large enterprises with complex financial structures. However, its complexity imposes a steep learning curve and can delay implementation as third-party consultants are usually needed to get the system configured properly for an organization’s unique needs.  

Prophix, on the other hand, is a purpose-built FP&A for mid-market and enterprises, and doesn’t necessarily require third-party assistance during implementation. Designed for stability and structured workflow, the platform excels in areas like financial consolidation and intercompany management. However, users complain about its rigid reporting structure, and performance can suffer with large models, making scalability a potential concern for growing businesses.  

Jedox

Jedox is an AI-powered EPM platform designed for mid‑market and enterprise organizations. It offers most of the core FP&A capabilities businesses today need, including budgeting, forecasting, and modeling financial statements. The platform supports both centralized and decentralized planning processes, allowing organizations to model scenarios, perform variance analysis, and create driver‑based forecasts. With JedoxAI, finance teams can automate summaries and simplify complex planning tasks instead of spending time on manual number-crunching.

Jedox combines the flexibility of Excel with database control to streamline budgeting, forecasting, reporting, and analysis. However, its setup can be challenging for fast-scaling companies that need extensive integrations and dynamic modeling without a complex architecture. While the platform is powerful for structured reporting, it can be less intuitive when users need to quickly generate or explore custom reports or visualizations on the fly. Some users also report that the user permissions are limited, which can hamper collaborative planning. 

Key FP&A features and capabilities

• Integrated Financial Planning: Seamlessly integrate data for P&L, balance sheet, and cash flow, enabling comprehensive financial planning and analysis. 
• Scenario Modeling and Forecasting: Supports unlimited scenario modeling and both driver-based forecasting and rolling forecasts.
• Collaboration and workflow management: Support cross‑organizational collaboration through drag‑and‑drop dashboards, ad‑hoc reporting, and self‑service templates, enhancing efficiency and alignment across teams. 
• Management and finance reporting: Customizable, real-time, and ad hoc reporting and dashboards for management decision-making.

How does Jedox use AI?

• JedoxAI: A multi‑agent intelligence engine that delivers explainable forecasts, real‑time insights, and continuously refined strategies, helping teams turn data into direction. 
• Conversational queries: Users can interact with data using natural language, facilitating intuitive exploration and analysis without the need for complex queries. 
• AI‑Powered Search: Enables easy data exploration and autonomous planning by allowing users to ask questions and receive instant guidance and relevant information.
• AI-powered planning agent: Generative AI agent guides setup for common use cases like revenue forecasting, demand planning, or workforce budgeting, and auto-generates a baseline model, allowing teams to move straight into refining assumptions.

Jedox vs. Oracle EPM

Jedox is a worthy Oracle EPM alternative for users who want a flexible and responsible FP&A platform with AI-assisted tools, natural language, and real-time reporting. Unlike other Oracle EPM competitors covered in this guide, in addition to being a SaaS, Jedox can also be deployed as an on-premises system. This can be beneficial for very large enterprises with strict regulatory requirements and security needs, and that can afford the IT resources necessary to maintain it. Oracle EPM is a cloud-only solution.  

Jedox’s focus on automation and ease of use allows finance teams to shift from manual data manipulation to strategic decision-making faster than they likely can with Oracle EPM, which comes with a steep learning curve. 

OneStream

OneStream is an enterprise-grade Corporate Performance Management (CPM) platform. The platform supports various types of planning, including top-down, bottom-up, driver-based planning, along with rolling forecasting and scenario analysis. Users can easily create and update plans and forecasts through dynamic web forms or Excel, making it easy to keep everything up to date. In addition to its core planning and analysis features, OneStream also provides advanced capabilities in financial close and consolidation and integrated business planning.  

OneStream offers several AI features. None of these are particularly exceptional, but it does offer all the basic AI capabilities, including AI-powered forecasting, scenario modeling, and reconciliations. If you’re looking for an AI-first path to reducing manual effort, Drivetrain may be a better alternative to OneStream, which just layers AI features onto a consolidated EPM base.

Key FP&A features and capabilities

• Driver-Based planning and scenario analysis: Supports driver-based planning and what-if analysis, allowing finance teams to model various business scenarios and assess their impact on financial outcomes.
• Advanced reporting capabilities: Provides AI-generated narratives to explain variances and trends to streamline reporting and enhance decision-making.
• Security and compliance: Ensures data integrity and security with robust governance features, supporting compliance with regulatory standards. 
• Comprehensive Financial Management: Offers advanced capabilities in financial close and consolidation and integrated business planning.

How does OneStream use AI?

• AI forecasting: Combines end-to-end ML-based forecasting with existing planning processes to drive improved forecasting accuracy and efficiency. 
• AI assistants: AI-powered chat assistants analyze data and execute tasks, enhancing user interaction with the platform.
• Pre-built AI routines: OneStream includes a built-in library of more than 30 AI workflows for finance teams, enabling anomaly detection, variance summarization, and system performance optimization. 
• Account reconciliation: The platform leverages ML to detect anomalies and flag risks early in the close process, reducing manual effort and improving compliance.

OneStream vs. Oracle EPM

OneStream is an extensible platform that tightly integrates financial and operations data. Its purpose-built AI can help streamline a large portion of your performance management workflow. In terms of its functionality and flexibility, OneStream provides a unified platform where financial consolidation, planning, and reporting work together within a single application, whereas Oracle EPM is a suite-based solution composed of multiple modules for core FP&A features. These can be integrated but often require separate implementations and maintenance, which can impact ROI and long-term scalability.

From a usability perspective, OneStream emphasizes simplicity, and users give it high marks for its ease of use. However, while the platform offers a good end-user experience, on the backend, system administration can be challenging. Finance teams may still need to rely on IT or consultants for advanced configurations and maintenance. In comparison, Oracle EPM can be quite complex on both sides of the equation, often requiring extensive user training and administrator involvement to use it effectively.

How to choose the best Oracle EPM alternative

Without a doubt, Oracle EPM is a heavyweight contender in its category and is a solid option for large, complex enterprises looking for connected planning across finance, operations, and multiple lines of business—the kind that also have dedicated IT teams and the budget for a cadre of consultants. 

However, the weight of Oracle EPM’s complexity can be too much for many enterprises and likely most mid-market businesses to bear. If you don’t have specialized FP&A teams with a high level of technical expertise or dedicated IT teams, implementing Oracle EPM can be a long, painful, and expensive journey. And at the end of it, your total cost of ownership may continue to rise if you need to retain third-party support as your teams struggle to use and maintain the system effectively.   

Judging from all the user feedback we reviewed to develop this guide, these are very real possibilities. The good thing is, there are plenty of Oracle EPM alternatives on the market today. We’ve covered eight of the best ones in this guide, and of all of them, Drivetrain clearly emerges as the leading solution for FP&A enterprises today.  

Here’s why Drivetrain should be at the top of your list. 

In comparison to Oracle EPM,  Drivetrain is easier to use, faster to deploy, and as an AI-native platform, offers built-in AI-powered features that finance professionals need today. You won’t need third-party implementation support—instead of struggling for 6-12 months just to get to a point where you can start using Oracle EPM, with Drivetrain, teams are usually up and running in just 4-6 weeks.

Under the hood, Drivetrain runs on a powerful multi-dimensional modeling engine, built with modern technologies, providing unparalleled agility and ability to meet the complex needs of enterprises today. Fast-growing businesses that need a solution to support their growth in the long term and high ROI will find it in Drivetrain.    

Need to connect to a lot of systems? Forget about having to find middleware solutions and paying a consultant to configure them for you. With more than 800 native integrations to choose from, Drivetrain makes building a fully connected FP&A and performance management system for your enterprise plug-and-play. 

Drivetrain is the antidote for the pain of a long, drawn-out ROI that can only be realized if your teams can use the system effectively. That may not ever happen with Oracle EPM, or at least not fully because of the steep learning curve it creates for users. When your teams onboard to Drivetrain, they’ll find a familiar, spreadsheet-like UI with plain-English formulas to make modeling easy, the ability drill down into their data by any dimension to explore it more deeply, customizable, dynamic dashboards to make reporting a breeze, and flexible templates to jumpstart most any task.       

Fast-growing businesses and enterprises prefer Drivetrain for its AI-powered insights, industry-specific metrics, and agile modeling capabilities, combined with an unparalleled ease of use. This powerful yet intuitive software enables finance teams to deliver real business impact through data-driven decision-making. 

Book a demo for Drivetrain today and see how it can help you streamline your FP&A and performance management workflows.