Quick answer
The choice depends on your team's skills, compliance requirements and scale. UiPath is the fastest route to automation for mid-sized and large companies, with the largest ecosystem and a free plan to get started. SS&C Blue Prism is chosen mainly by large organizations in regulated industries where governance, audit trails and on-premises deployment matter. OpenRPA is a free open-source platform (MPL-2.0 license) for technical teams that want to avoid license fees and are ready to maintain the tool themselves. Before choosing any of them, check whether the system you are automating has an API, because then an integration usually beats a bot.
RPA or BPA: what is the difference?
RPA (robotic process automation) automates individual, repetitive actions in existing applications: a bot clicks, copies and types data the way a person would, without changing the systems. BPA (business process automation) covers a whole process end to end and orchestrates multiple systems, teams and decisions.
| Aspect | RPA | BPA |
|---|---|---|
| Scope | Individual tasks (data entry, form filling) | Entire processes (e.g. customer onboarding) |
| Complexity | Simple, rule-based instructions | Multiple systems, departments and decision points |
| Implementation | Works within existing processes, without changing them | Redesigns the process for efficiency |
| Best for | High volumes of repetitive actions | End-to-end process transformation |
| Relationship | Bots run inside broader processes | The process uses bots as execution tools |
In practice the best organizations combine both. We explain the concepts and examples in RPA and BPA: from manual work to smart automation. Here we focus on the tools.
Commercial or open source: what do you gain and what do you give up?
A commercial platform gives you a finished product, support and certifications, which you pay for with license fees and some vendor lock-in. Open source gives you no license fees and full access to the code, but the cost shifts to your team's skills and time.
| Criterion | Commercial platforms (UiPath, SS&C Blue Prism) | Open source (OpenRPA) |
|---|---|---|
| License | Paid subscription, usually per robot or user | No license fees (MPL-2.0) |
| Getting started | Fast: installers, templates, training | Slower: setup and learning are on your team |
| Support | Vendor SLA, implementation partners | Community forum, paid vendor support |
| Compliance and audit | Security certifications, built-in governance | Must be built and documented yourself |
| Customization | Within the platform and its extensions | Full, including changing the code |
| Risk | Vendor lock-in, pricing changes | Project pace, dependence on a small group of maintainers |
The questions that decide the choice:
- Budget: open source wins on license cost, but factor in the people who will maintain it.
- Skills: do you have developers who can deploy, extend and fix the platform?
- Compliance: does an auditor, regulator or customer require certifications and formal vendor support?
- Time to value: commercial platforms usually deliver the first working automations sooner.
- Customization: do you need changes no platform anticipated?
UiPath: the largest ecosystem and a turn toward AI agents
UiPath is the best-known RPA platform. In the 2025 Gartner Magic Quadrant for Robotic Process Automation it was named a Leader for the seventh year in a row, rated highest for Ability to Execute (UiPath, 2025). Its strength is the ecosystem: Studio for building automations (from drag and drop to code), Orchestrator for managing the robot fleet (documentation), a large community and a marketplace of ready-made components.
In 2026 UiPath is clearly moving from classic RPA toward orchestrating processes in which robots, AI agents, APIs and people work together. Its orchestration engine is called Maestro, and in August 2026 the company announced Maestro Flow, which lets you design and run processes from coding agents such as Claude Code, Cursor, GitHub Copilot and Codex (UiPath, 2026). For organizations with data sovereignty requirements, UiPath offers Automation Suite, deployed in your own environment, which since May 2026 supports AI agents with self-hosted language models as well (UiPath, 2026).
Licensing: a free Community plan, a paid Basic plan starting at 25 USD per month (hosted in the European region) and Standard and Enterprise plans priced individually. UiPath has also announced a new offering to replace the Basic plan (UiPath pricing).
Best for: mid-sized and large companies that want to scale automation quickly and plan to combine RPA with AI agents.
SS&C Blue Prism: governance and security for regulated industries
Blue Prism has been owned by SS&C Technologies since March 2022 and operates as SS&C Blue Prism (SS&C). The platform was designed for governance from the start: central management of "digital workers", separation of roles, a full audit trail. That is why it is chosen mostly by banks, insurers, healthcare and government.
The portfolio now includes several products: Blue Prism Enterprise (classic deployment, including on-premises), Blue Prism Next Generation and Blue Prism Cloud (cloud versions) (SS&C Blue Prism, 2025). In April 2026 SS&C announced WorkHQ, a platform that orchestrates people, AI agents, APIs and digital workers in one governed environment, on the principle that AI agents work where they add value and deterministic automation stays where control is essential (SS&C Blue Prism, 2026).
Downsides: a higher barrier to entry than UiPath, a more technical interface, and no public price list: quotes come from the sales team.
Best for: large organizations in regulated industries where audit, separation of duties and deployment in your own environment are requirements, not options.
OpenRPA: open source for technical teams
OpenRPA is an open-source RPA platform developed by OpenIAP and released under the Mozilla Public License 2.0. The repository has about 3,100 stars on GitHub (GitHub, as of October 1, 2026). The robot installs on Windows and, according to the maker, automates Windows applications, SAP, Java, browsers, mainframes, Microsoft Office and image-recognized elements, and you can embed code in C#, VB, Python, PowerShell and AutoHotKey directly in workflows (OpenIAP).
Managing multiple robots is handled by OpenFlow, part of OpenIAP's OpenCore platform, with Node-RED integration for orchestrating flows and connecting other systems (Anders Jensen). OpenCore follows an open-core model: core functionality is MPL-2.0, while enterprise features marked as commercial require a separate license in production. Support with guaranteed response times is also paid (OpenIAP).
Watch the pace of development. The latest OpenRPA release (1.4.57.13) dates from June 2025 (GitHub). The project is not archived, but before building critical processes on it, decide whether you are ready to maintain it yourself or buy vendor support.
Best for: teams with development skills, companies with a limited license budget and projects that need deep customization.
UiPath vs SS&C Blue Prism vs OpenRPA
| Aspect | UiPath | SS&C Blue Prism | OpenRPA |
|---|---|---|---|
| License | Commercial, free Community plan | Commercial, quoted by sales | Open source (MPL-2.0), enterprise features and support paid |
| Ease of use | Excellent, including for business analysts | Moderate, more technical | Good for technical teams |
| Deployment | Cloud (Automation Cloud) or your own environment (Automation Suite) | On-premises (Enterprise) or cloud (Next Gen, Cloud) | Windows robot, OpenCore orchestration (Docker, Kubernetes) |
| Orchestration | Orchestrator, Maestro | Control Room (documentation), WorkHQ | OpenFlow / OpenCore, Node-RED |
| AI agents | Agents, Maestro Flow, coding agents | WorkHQ, Agent Builder | Your own integrations via code |
| Support | Vendor, partners, large community | Vendor and partners | Community forum, paid OpenIAP support |
| Main risk | Cost at scale, plan changes | High barrier to entry and cost | Pace of development, maintenance cost on your side |
| Best for | Fast scaling in mid-sized and large companies | Regulated industries | Technical teams with a limited budget |
What other options are there?
The list does not end with these three tools. Two alternatives worth a look:
- Microsoft Power Automate for desktop is available in Windows 11 at no extra cost for automations run by the user (Microsoft). Unattended robots and connecting to cloud flows require paid licenses. A natural choice for companies deeply invested in Microsoft 365.
- Robot Framework is an open automation framework under the Apache 2.0 license, actively developed (GitHub). It is code-first, a good fit for teams that prefer to write automations like software, with reviews and tests.
What does automation really cost?
The license is only part of the cost. When comparing a commercial platform with open source, calculate total cost of ownership (TCO) over 2-3 years:
| Cost component | Commercial platform | Open source |
|---|---|---|
| Licenses and subscriptions | High, growing with the number of robots | None, or only for enterprise features |
| Infrastructure | Vendor cloud or your own servers | Your own servers, Docker or Kubernetes |
| Implementation | Shorter, with partner support | Longer, done by your team |
| Bot maintenance | Medium: application changes break bots | Similar, plus maintaining the platform itself |
| Skills | Vendor training and certifications | Developers who know the platform and code |
| Support | Included or in the plan | Paid from the vendor, or your own |
The most underestimated cost is maintenance: a bot that clicks through a user interface stops working when a screen, field name or application version changes. That applies to every RPA platform.
When should you choose an integration or an AI agent instead of an RPA bot?
When the system has an API, an integration is usually better than a bot. It is faster, cheaper to maintain and does not depend on how the screen looks. RPA makes the most sense where there is no API: legacy systems, desktop applications, partner portals.
An example from practice: simple applications can merge reports from several sources, each in a different format, into one summary, and automatically match bank transfers to accounting entries, even with a typo in a surname or transposed digits in an account number. Doubtful cases go to a person. Not every problem needs AI or an RPA platform; sometimes a well-built integration is enough.
Where a task needs interpretation (an unusual email, a document in a new format, a ticket described in the customer's own words), AI agents work well. Our helpdesk agent assigns category and priority to tickets, uses only tools from an approved allowlist, and performs sensitive actions such as an MFA reset only after a person approves. We explain how agents differ from classic automation in agentic AI vs AI agents.
| Situation | Best approach |
|---|---|
| The system has a stable API | API integration |
| Legacy system without an API, repetitive steps | RPA bot |
| Process spans many systems and departments | BPA with orchestration (bots, APIs, people) |
| The task requires understanding content | AI agent with human oversight |
| The process is chaotic and changes often | Fix the process first, then automate |
Which tool should your company choose?
Recommendations by organization type:
- Startup or small company with a technical team: OpenRPA or Robot Framework, if you have developers to maintain them. Without them, start with UiPath's free plan or Power Automate for desktop.
- Mid-sized company: UiPath offers the fastest path to scale, a large community and a clear direction toward AI agents.
- Large organization in a regulated industry: SS&C Blue Prism, if governance, audit and deployment in your own environment are the priority. UiPath Automation Suite is a real alternative here.
We describe a broader method for the "buy or build" decision in our guide should you build or buy your AI solution.
How do you start automating?
- Define success: time saved, fewer errors, faster customer service. Each goal may point to a different tool.
- Pick one process for a pilot: repetitive, well documented, with a measurable cost.
- Check whether the system has an API before you build a bot.
- Measure the effect: time, errors, team satisfaction. Use that data to justify the next steps.
- Expand gradually: document what you learn and build reusable components.
- Plan for evolution: processes run by bots today will combine bots, AI agents and people tomorrow. Choose a platform that can handle that.
The best automation strategy is the one you actually implement. Start with one process, measure the result and scale what works.
Sources
- UiPath: Leader in the 2025 Gartner Magic Quadrant for Robotic Process Automation
- UiPath: Orchestrator documentation
- UiPath: UiPath launches Maestro Flow (2026)
- UiPath: Automation Suite delivers on-premises agentic AI for the public sector (2026)
- UiPath: Plans and pricing
- SS&C: Blue Prism acquisition
- SS&C Blue Prism: What's coming your way from SS&C Blue Prism (2026 roadmap)
- SS&C Blue Prism: SS&C unveils WorkHQ to power enterprise agentic automation (2026)
- SS&C Blue Prism: Control Room (Blue Prism Enterprise 7.5 documentation)
- OpenRPA: GitHub repository
- OpenRPA: releases
- OpenIAP: OpenRPA
- OpenIAP: Licensing & Support
- Anders Jensen: The dream RPA setup, OpenRPA and Node-RED
- Microsoft: Getting started with Power Automate for desktop in Windows 11
- Robot Framework: GitHub repository
