How Much Does Datamaran Cost According to Available Plans?
What You Should Know Before Choosing Datamaran for Your ESG Strategy
Ask Yourself This Before Deciding
4 Keys to Evaluate if Datamaran is Worth its Cost as an ESG Platform
What to Consider Before Choosing Datamaran or a Similar Platform
Why Dcycle is the Best Alternative
Frequently Asked Questions (FAQs)

When we search for information about Datamaran pricing, we quickly discover that there's no public or standard number.
This is no coincidence. Datamaran offers a software solution specialised in external risks, ESG, regulatory compliance, materiality, and corporate reporting, with an approach directed to sustainability, legal, or risk management teams.
Its service model functions under customised subscription, which means the cost depends on the conditions negotiated in each contract: number of users, agreement duration, modules included, or scope of use.
In other words, Datamaran doesn't have a "catalogue" price, but each company receives a tailored proposal, according to their needs and level of complexity.
This "tailored" approach can be very useful for large corporations that require complex configuration or with multiple areas involved, although it also implies that there's no transparency about rates or a clear market reference.
That's why, those considering contracting this type of solutions should request a demo or commercial contact, and define precisely the usage parameters before receiving a quotation.
Throughout this article, we'll see what this pricing model really implies, how to interpret it within the current ESG context, and what alternatives can offer a more agile, flexible, and accessible experience for companies seeking to measure, manage, and communicate their impact efficiently.
Talking about Datamaran pricing implies understanding that there are no public rates or closed plans.
Its model is based on customised subscriptions, so each company receives a proposal adapted to its size, number of users, contracted modules, and scope of use.
This tailored approach can be suitable for organisations with complex structures or very specific needs, but it also makes direct comparison with other market solutions difficult.
In practice, this means we won't be able to know the real cost until we request a demo or formal quotation.
Unlike transparent pricing models, Datamaran negotiates each contract individually. Final amounts depend on included services and resources the company requires to integrate the tool in its operations.
Although Datamaran doesn't publish its rates, by the nature of its service we can assume it sits in the price range typical of "enterprise" solutions, i.e., oriented to medium and large corporations with specialised teams.
In this type of platforms, costs are usually calculated by annual subscription and can vary according to the number of users and active modules.
As the project's scope grows, so do rates, especially if advanced functionalities are incorporated such as regulatory monitoring, risk analysis, or automated reporting.
It's important to bear in mind that there's no universal base price, and that each proposal is designed from scratch. This model offers flexibility, but can also imply higher initial costs and longer negotiation processes.
In this context, SMEs are also starting to be interested in ESG tools, although they usually find barriers in the cost and complexity of solutions oriented to large corporations. Therefore, they seek more flexible and accessible platforms that adapt to their size and operational capacity.
Datamaran's model doesn't usually include certain services within the initial price, such as technical integration with internal systems, team training, or extended support over time.
These elements are usually billed as additional services.
Furthermore, updates or licence extensions (for example, adding more users or modules) can modify rates, as each change is adjusted through a new contractual agreement.
This means the total cost can increase over time if the company expands its use of the tool.
In many cases, advanced customisations or specific developments are also managed as separate projects, which directly impacts the final bill.
When a company contracts Datamaran, what it's paying for is not just a software licence, but access to a specialised ESG management and monitoring system, which includes materiality analysis, regulatory tracking, and external risk assessment.
In other words, you're paying for structure and technological accompaniment, not a standard product.
Datamaran centralises non-financial information and allows exporting it for audits, reports, or corporate presentations, something that can be especially useful for sustainability or regulatory compliance teams.
However, this specialisation also has a price: a tailored solution that requires implementation time, technical staff, and an internal learning process.
That's why, before deciding on an investment of this type, it's key to assess whether the company needs such a customised tool or if it's looking for a more agile, flexible, and scalable solution.
Ultimately, Datamaran's cost should be understood as an investment in control, traceability, and ESG compliance, more than a technological expense.
And although the final figure will depend on each contract, the important thing is to be clear about what strategic value the tool really provides and whether it responds to the organisation's ESG need and maturity level.
Before deciding on a tool like Datamaran, it's important to understand what type of ESG services it offers and what factors really influence its cost.
It's not just a matter of budget, but evaluating whether the solution adapts to our organisation's maturity level and needs.
In Datamaran's case, its proposal is centred on external risk analysis, regulatory compliance, materiality, and corporate reporting.
It offers specific modules to evaluate impacts, monitor regulations, and generate ESG reports, which makes it an advanced tool, designed for organisations with consolidated structures and teams specialised in sustainability, compliance, or risk.
Now then, before taking the step, we must consider several elements that determine the final cost and, above all, the type of experience and value we'll obtain in return.
The greater the degree of automation we need, the more complex the system configuration will be and, therefore, the higher the cost.
Datamaran offers advanced visualisations and customised dashboards, but these require specific parameterisation and a good degree of process automation, as well as clear definition of indicators to be monitored.
If we're looking for a solution that allows us to automate data collection from multiple sources and generate reports in real time, we must bear in mind that each additional automation layer implies more technical resources and higher implementation cost.
Price also depends directly on the breadth of ESG analysis we want to perform. It's not the same to measure a reduced set of internal indicators as extending the scope to the entire supply chain, indirect emissions, Carbon Footprint, or reputational risks.
Datamaran allows monitoring complex information and managing different types of ESG variables, but each additional module or type of analysis represents an extra cost.
That's why, it's convenient to define precisely what we need to measure before requesting a commercial proposal.
Another key factor is the volume of users who will access the platform. As the number of involved teams or entities integrated in the same account grows, the annual subscription cost also increases.
This includes not only internal users, but also possible external collaborators who need to access to review or validate information.
The more profiles we manage, the greater the contract complexity and necessary support.
Finally, one of the elements that has the most impact on an ESG solution's price like Datamaran is the degree of integration with existing systems in the company.
If we want to connect the platform with spreadsheets, energy management tools, ERPs, or financial software, it will be necessary to configure specific connectors or customised integrations, which usually requires additional technical services.
The more integrated the company's digital ecosystem is, the more efficient ESG data management will be, but we must also assume that this level of integration increases initial effort and project cost.
Before assessing a tool like Datamaran, we must ask ourselves an essential question: what do we really need to manage our ESG strategy?
It's not just about comparing prices or functionalities, but understanding what value the tool provides to our way of working, and whether that value compensates the investment.
Datamaran's price is neither fixed nor standard. It varies depending on the company, sector, and degree of customisation required.
Its cost structure responds to multiple factors that depend on the ESG maturity level, type of reports to be generated, and how we manage non-financial information within the organisation.
That's why, before making a decision, it's important to understand why these differences exist and how they can affect total investment.
The first factor influencing price is the company's ESG maturity level.
It's not the same as an organisation that's starting to collect its sustainability data as another with a consolidated internal structure and defined objectives.
The more advanced the maturity level, the more complex the configuration usually is and the volume of information to integrate, which directly impacts cost.
Furthermore, companies with greater maturity usually require deeper automation and more sophisticated analysis structure, which also raises the price.
Another decisive factor are the regulatory and normative reports we must comply with. Each framework (CSRD, EINF, European Taxonomy, SBTI, ISOs, among others) requires different indicators, metrics, and methodologies.
If the tool must adapt to several standards simultaneously, the configuration effort increases, as well as support and template updates.
This makes price vary according to the quantity and complexity of reports the company needs to generate.
At this point, it's convenient to have a clear vision of what reports we need today and which we foresee in the future, to avoid contracting modules or services we won't use in the short term.
Understanding how ESG reporting integrates with broader sustainable finance frameworks helps companies anticipate future reporting requirements and make more informed decisions about the tools they need.
The volume of data we handle and the frequency with which we update information also influence the final cost.
A company that collects hundreds of monthly variables about consumption, emissions, suppliers, or human capital needs a more robust infrastructure and greater processing capacity than an organisation with more limited scope.
Furthermore, if data is updated with high frequency, it will be necessary to automate connections with internal or external sources, which implies more technical development and maintenance.
In other words, more data and greater updating, greater investment.
Finally, price also depends on the additional functionalities we want to include.
Some companies seek tools that not only collect data, but also allow making simulations, scenario analysis, or future risk modelling.
These advanced functions provide great value, but also increase technical complexity and licence cost.
Before including them, it's convenient to evaluate whether we'll really use them or if it's enough to have a solid ESG management and reporting system.
When deciding if a tool like Datamaran really justifies its cost, we need to go beyond price and analyse the value it provides to the ESG management process.
It's not just about having a powerful platform, but understanding if that investment helps us make better decisions, optimise processes, and comply with regulations without friction.
One of the first things we should evaluate is the platform's capacity to offer a structured and clear vision of ESG impact in each organisation area.
If a tool doesn't allow us to easily visualise data by business unit, subsidiary, or department, we'll end up managing fragmented and not very useful information for decision-making.
The key is being able to interpret results visually, traceably, and with context, without depending on dispersed spreadsheets or manual reports.
Another decisive point is the possibility of simulating actions and projecting results before executing them.
A good ESG platform should allow us to model scenarios: what happens if we reduce energy consumption, change suppliers, or implement a new responsible purchasing policy.
That simulation capacity is what converts data into strategic information, helping to prioritise investments and communicate results more clearly to management, investors, or auditors.
The more tangible the return of simulated actions, the more sense the investment will make.
The third aspect we should consider is scalability.
Organisations with multiple headquarters, subsidiaries, or business lines need a tool capable of adapting to growth without losing coherence or quality in data.
If software can't expand easily or if each expansion implies high cost, the platform stops being a flexible solution and becomes an operational brake.
A good ESG solution must be scalable, modular, and capable of integrating different complexity levels without depending on long technical processes.
Finally, it's essential that the platform offers fluid connectivity with systems we already use: from spreadsheets to ERPs, CRMs, or purchasing tools.
The more integrated it is with our data sources, the less manual effort and the greater ESG information quality.
This connectivity not only reduces errors, but allows automating updates and reports, freeing up time for analysis instead of operational management.
In recent years, we've seen how ESG platforms' cost has increased notably, and this responds to several factors that are transforming the market.
Understanding these trends allows us to anticipate the value we really need to pay and what we can optimise.
The first trend is increasing regulatory pressure. Each new regulation—such as CSRD or European Taxonomy—requires more indicators, more traceability, and more verifications.
This forces platforms to develop specialised modules and continuous updates, which increases their maintenance and licences cost.
The second trend has to do with the complexity of ESG data. Companies are collecting increasingly detailed information about consumption, suppliers, transport, or sustainable governance, which requires greater processing and storage capacity.
The more data managed, the more powerful and costly the technical infrastructure must be.
And the third trend is the demand for advanced automation and dynamic reporting. Organisations no longer settle for collecting information: they want to see results in real time, compare periods, simulate scenarios, and generate customised reports.
This technological evolution, although valuable, increases both development and implementation costs.
Before choosing a tool like Datamaran or any other ESG platform, we must be very clear about what we're looking for and what we want to achieve with the investment.
Not all solutions cover the same needs or work equally in terms of integration, automation, or strategic approach.
The key is aligning internal objectives with what the platform really offers. Many times, the error isn't in the tool, but in not having precisely defined what we want to measure, how we're going to use the data, and what results we expect to obtain.
One of the most common errors is supposing that a solution focused on ESG risks also manages all areas of corporate sustainability.
Datamaran, for example, is specialised in risk analysis, materiality, and regulatory compliance, but doesn't necessarily cover operational measurement of environmental or social indicators.
If what we need is a comprehensive tool that gathers, structures, and distributes all ESG information, we must ensure that the platform's scope aligns with our strategy.
Otherwise, we'll end up depending on several tools at once, with the consequent increase in cost and complexity.
Another frequent error is not considering the time and resources necessary for implementation.
Large platforms usually require technical training, advanced configuration, and a progressive adoption process before being able to use them fluently.
In many cases, teams need weeks (or months) to familiarise themselves with functions and workflows.
And that time translates into indirect costs: staff hours, process adjustments, and additional support. If not contemplated from the start, the real investment ends up being much greater than anticipated.
The third common error is not checking if the platform can integrate fluidly with systems already existing in the company.
When there's no compatibility with the ERP, CRM, or internal databases, the result is usually a bottleneck: duplicated data, manual errors, and lack of traceability.
Before contracting, we must validate how data sources will connect and what degree of automation the tool offers. Poor integration can nullify the value of any investment, however advanced the solution may seem.
In our case, we're not auditors or consultants, but a Solution for companies.
We've developed a platform designed so that any organisation can measure, manage, and communicate its ESG information simply, accurately, and scalably.
What differentiates us is our capacity to collect all ESG data—environmental, social, and governance—from different sources and distribute them automatically in the frameworks and regulations each company needs: EINF, CSRD, SBTI, European Taxonomy, ISOs, or any other standard.
While other tools focus on specific areas such as risk or compliance, we cover the complete ESG management cycle, from collection to generating reports ready for audit or corporate communication.
Furthermore, our solution is designed to minimise implementation time and eliminate dependency on manual processes. It doesn't require complex integrations or specialised technical teams.
In a matter of days, companies can begin to consolidate their information and visualise their indicators clearly.
We believe that sustainability should be managed as a strategic lever, not an operational burden.
And that's why we help organisations convert their ESG data into tangible value for the business, improving their efficiency, traceability, and competitive position.
In short, Dcycle is the ideal alternative for those seeking a platform that combines agility, rigour, and scalability, without the costs and complexity of traditional solutions.
Because measuring well today means making better decisions tomorrow. And in a market that demands transparency and results, that marks the difference.
There's no public minimum price to start with Datamaran. The company works under a customised subscription model, so each client receives a proposal adapted to their size, needs, and level of complexity.
The final cost will depend on contracted modules, number of users, ESG analysis scope, and necessary integrations.
In practice, this means the entry price can vary widely according to the organisation.
To obtain a concrete figure, it's necessary to request a demo or direct commercial proposal, as there are no base rates available on their website or review platforms.
Datamaran is mainly oriented to medium and large organisations, especially those with internal teams dedicated to sustainability, risks, or regulatory compliance.
Its modular and customised approach fits better to companies with consolidated structures and defined processes.
This doesn't mean an SME can't use it, but in practice, implementation cost and complexity usually make it more suitable for corporations or business groups.
Small and medium-sized enterprises usually need more agile and accessible solutions, with a shorter learning curve and more predictable costs.
Datamaran includes a base set of tools related to materiality assessment, risk analysis, and regulatory monitoring, but many advanced functionalities are offered as paid add-ons.
Among them are scenario simulations, advanced reporting modules, integrations with external systems, or dashboard customisation.
There may also be additional costs for training, extended support, or licence extensions if more users or subsidiaries are added.
In summary, the base price covers essential functions, but automation, customisation, or advanced export options usually require an additional fee.
Yes, Datamaran is designed to facilitate compliance with regulations and regulatory frameworks such as CSRD, EINF, or European Taxonomy. Its system allows identifying material issues, evaluating risks, and generating reports aligned with these standards.
However, it's important to bear in mind that Datamaran doesn't replace the complete process of ESG data collection and management.
Its approach is in analysis and risk contextualisation, not direct measurement of operational indicators (such as consumption, emissions, or social data).
That's why, many companies opt to complement this type of tools with a more comprehensive solution that centralises all ESG information, guarantees traceability, and automates report generation.
In our case, at Dcycle we're not auditors or consultants, but a Solution for companies that need to manage their ESG data from start to finish.
We collect all non-financial information and distribute it automatically in the frameworks the organisation needs: CSRD, EINF, SBTI, European Taxonomy, or ISOs.
Thus, we convert sustainability into a real competitive advantage, simplifying processes and ensuring each piece of data has a clear purpose within corporate strategy.
Carbon footprint calculation analyzes all emissions generated throughout a product’s life cycle, including raw material extraction, production, transportation, usage, and disposal.
The most recognized methodologies are:
Digital tools like Dcycle simplify the process, providing accurate and actionable insights.
Some strategies require initial investment, but long-term benefits outweigh costs.
Investing in carbon reduction is not just an environmental action, it’s a smart business strategy.