You usually start this comparison with a simple question.
How many rights are there in GDPR and DPDPA?
So, GDPR gives you eight rights and DPDPA gives you four.
At this point, it feels like you understand the difference.
But that clarity doesn’t last once you have to deal with an actual request.
You see it the moment someone asks you to share their data, or delete everything, or fix incorrect information.
Now you are not thinking about how many rights exist. You are trying to figure out where that data is stored, who is responsible for handling it, and how fast you are expected to respond.
This is where the comparison starts to shift.
Instead of counting rights, you are dealing with workflows. Requests come through email or support tickets. Data sits across multiple tools.
Ownership is not clearly defined. You are trying to connect pieces that were never designed to work together.
So while GDPR and DPDPA look different on paper, the real difference shows up in how you handle these situations in practice.
In this guide, you will not just look at the number of rights.
You will see what those rights actually require you to do, where things usually break, and why this turns into an operational problem much faster than expected.
Data subject rights are legal rights that allow individuals to control their personal data.
Under different laws, the terminology changes:
But the idea is the same.
These rights allow people to:
From a legal perspective, this is about user control.
From a business perspective, this is about handling requests correctly and on time.
GDPR gives individuals 8 core data subject rights.
Users must know how their data is collected and used
Users can request a copy of their personal data
Users can correct inaccurate or incomplete data
Also called the “right to be forgotten.”
Users can limit how their data is used
Users can move their data between services
Users can object to certain types of processing
Users can challenge decisions made only by algorithms
These rights look structured, but in reality:
So even though there are 8 rights, companies struggle to handle even a few requests properly.
DPDPA gives Data Principals 4 express rights under the law.
Users can know what data is collected and how it is used
Users can correct or delete their personal data
Users can raise complaints and expect resolution
Users can appoint someone to act on their behalf
You may have seen articles claiming DPDPA has 6 rights. This usually includes:
These are valid protections under the law. But they are not listed as separate rights in Chapter III. So for accuracy, the safest statement is:
DPDPA has 4 express statutory rights, along with additional protections like notice and consent withdrawal.
How to Create a Data Inventory for GDPR and DPDP: Step-by-Step Guide
Knowing the number of rights is easy. Managing them is not. To comply, companies must:
This turns into a process problem, not just a legal requirement.
Most companies face the same issues.
But no one owns the full flow.
At a small scale, teams manage with:
This works when:
But as volume grows:
This is where compliance starts breaking down.
At some point, you stop thinking about the rules and start feeling the gaps in your process.
You see it when a request comes in and you are not sure where to start. One part of the data sits in your CRM, another in your support tool, and something else in internal systems.
You end up checking multiple places, sending messages to different teams, and trying to piece together a response.
This is usually the point where structure becomes necessary.
Without this, every request feels like a fresh problem.
With some structure in place, the process starts to look different. Requests are tracked, ownership is clear, and responses become more consistent.
You are not solving the same problem from scratch each time.
This is where many teams move away from spreadsheets and scattered workflows. Not because they want another tool, but because they want a system that holds everything together.
You might come across platforms like Redacto while looking into this.

The reason they come up is simple. They try to bring consent, requests, and compliance workflows into one place so you are not switching between tools or relying on manual tracking.
The goal here is not to add complexity. It is to reduce the number of moving parts you have to manage.
If you are handling a small number of users and very few requests, manual tracking can still work. You can manage things through email, simple logs, and basic coordination.
But the shift happens quietly.
Requests become more frequent. Data spreads across more tools. More people get involved in handling them. What used to take a few minutes now takes multiple follow ups.
This is where things start slipping.
You will notice delays, missed steps, or uncertainty around what was actually done. Not because the team is not capable, but because the process is not designed for scale.
This is common in SaaS products, fintech and BFSI teams, e-commerce platforms, healthtech companies, or any setup where user data is central to how the product works.
If your team is already receiving regular data requests, you will start to feel these gaps sooner rather than later.
That is usually the signal that manual systems are reaching their limit.
Yes, it is possible, especially when you are operating at a smaller scale.
If your team handles very few requests and your data lives in limited systems, you can still manage things manually. Many companies start this way.
Requests come through email, someone checks the required systems, updates a spreadsheet, and sends a response.
The problem is that this process becomes harder to maintain as things grow.
You start adding more tools. Customer data spreads across support platforms, CRMs, analytics tools, marketing systems, and internal databases.
At the same time, requests become more frequent, and more people get involved in handling them.
This is usually where the pressure starts building.
Not because the rights themselves are complicated, but because consistency becomes difficult.
One request gets handled properly, another gets delayed, and a third depends on who picked it up internally.
Then comes the bigger issue.
At some point, you may need to prove what happened. You may need to show:
That is why the real challenge is usually not whether you can handle these rights once.
It is whether you can handle them consistently, across teams and systems, and still have a clear record of everything later.
GDPR gives 8 rights. DPDPA gives 4 express rights. That part is simple.
The real challenge is handling those rights in real workflows.
Most companies don’t struggle with understanding the law.
They struggle with:
Spreadsheets and scattered systems usually work… until they don’t.
And when they break, it’s not because the rules changed, it’s because the volume did.
That’s the point where teams stop trying to “manage” compliance manually and start building a system around it.
If you’re starting to feel that shift, it’s worth looking at how platforms like Redacto structure the entire flow, from request to resolution, in one place.
You usually start this comparison with a simple question.
How many rights are there in GDPR and DPDPA?
So, GDPR gives you eight rights and DPDPA gives you four.
At this point, it feels like you understand the difference.
But that clarity doesn’t last once you have to deal with an actual request.
You see it the moment someone asks you to share their data, or delete everything, or fix incorrect information.
Now you are not thinking about how many rights exist. You are trying to figure out where that data is stored, who is responsible for handling it, and how fast you are expected to respond.
This is where the comparison starts to shift.
Instead of counting rights, you are dealing with workflows. Requests come through email or support tickets. Data sits across multiple tools.
Ownership is not clearly defined. You are trying to connect pieces that were never designed to work together.
So while GDPR and DPDPA look different on paper, the real difference shows up in how you handle these situations in practice.
In this guide, you will not just look at the number of rights.
You will see what those rights actually require you to do, where things usually break, and why this turns into an operational problem much faster than expected.
Data subject rights are legal rights that allow individuals to control their personal data.
Under different laws, the terminology changes:
But the idea is the same.
These rights allow people to:
From a legal perspective, this is about user control.
From a business perspective, this is about handling requests correctly and on time.
GDPR gives individuals 8 core data subject rights.
Users must know how their data is collected and used
Users can request a copy of their personal data
Users can correct inaccurate or incomplete data
Also called the “right to be forgotten.”
Users can limit how their data is used
Users can move their data between services
Users can object to certain types of processing
Users can challenge decisions made only by algorithms
These rights look structured, but in reality:
So even though there are 8 rights, companies struggle to handle even a few requests properly.
DPDPA gives Data Principals 4 express rights under the law.
Users can know what data is collected and how it is used
Users can correct or delete their personal data
Users can raise complaints and expect resolution
Users can appoint someone to act on their behalf
You may have seen articles claiming DPDPA has 6 rights. This usually includes:
These are valid protections under the law. But they are not listed as separate rights in Chapter III. So for accuracy, the safest statement is:
DPDPA has 4 express statutory rights, along with additional protections like notice and consent withdrawal.
How to Create a Data Inventory for GDPR and DPDP: Step-by-Step Guide
Knowing the number of rights is easy. Managing them is not. To comply, companies must:
This turns into a process problem, not just a legal requirement.
Most companies face the same issues.
But no one owns the full flow.
At a small scale, teams manage with:
This works when:
But as volume grows:
This is where compliance starts breaking down.
At some point, you stop thinking about the rules and start feeling the gaps in your process.
You see it when a request comes in and you are not sure where to start. One part of the data sits in your CRM, another in your support tool, and something else in internal systems.
You end up checking multiple places, sending messages to different teams, and trying to piece together a response.
This is usually the point where structure becomes necessary.
Without this, every request feels like a fresh problem.
With some structure in place, the process starts to look different. Requests are tracked, ownership is clear, and responses become more consistent.
You are not solving the same problem from scratch each time.
This is where many teams move away from spreadsheets and scattered workflows. Not because they want another tool, but because they want a system that holds everything together.
You might come across platforms like Redacto while looking into this.

The reason they come up is simple. They try to bring consent, requests, and compliance workflows into one place so you are not switching between tools or relying on manual tracking.
The goal here is not to add complexity. It is to reduce the number of moving parts you have to manage.
If you are handling a small number of users and very few requests, manual tracking can still work. You can manage things through email, simple logs, and basic coordination.
But the shift happens quietly.
Requests become more frequent. Data spreads across more tools. More people get involved in handling them. What used to take a few minutes now takes multiple follow ups.
This is where things start slipping.
You will notice delays, missed steps, or uncertainty around what was actually done. Not because the team is not capable, but because the process is not designed for scale.
This is common in SaaS products, fintech and BFSI teams, e-commerce platforms, healthtech companies, or any setup where user data is central to how the product works.
If your team is already receiving regular data requests, you will start to feel these gaps sooner rather than later.
That is usually the signal that manual systems are reaching their limit.
Yes, it is possible, especially when you are operating at a smaller scale.
If your team handles very few requests and your data lives in limited systems, you can still manage things manually. Many companies start this way.
Requests come through email, someone checks the required systems, updates a spreadsheet, and sends a response.
The problem is that this process becomes harder to maintain as things grow.
You start adding more tools. Customer data spreads across support platforms, CRMs, analytics tools, marketing systems, and internal databases.
At the same time, requests become more frequent, and more people get involved in handling them.
This is usually where the pressure starts building.
Not because the rights themselves are complicated, but because consistency becomes difficult.
One request gets handled properly, another gets delayed, and a third depends on who picked it up internally.
Then comes the bigger issue.
At some point, you may need to prove what happened. You may need to show:
That is why the real challenge is usually not whether you can handle these rights once.
It is whether you can handle them consistently, across teams and systems, and still have a clear record of everything later.
GDPR gives 8 rights. DPDPA gives 4 express rights. That part is simple.
The real challenge is handling those rights in real workflows.
Most companies don’t struggle with understanding the law.
They struggle with:
Spreadsheets and scattered systems usually work… until they don’t.
And when they break, it’s not because the rules changed, it’s because the volume did.
That’s the point where teams stop trying to “manage” compliance manually and start building a system around it.
If you’re starting to feel that shift, it’s worth looking at how platforms like Redacto structure the entire flow, from request to resolution, in one place.

