Comparison Dreame D20 vs Dreame D20 Pro
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|---|---|---|
| Dreame D20 | Dreame D20 Pro | |
| Compare prices 1 | from $99.99 | |
| TOP sellers | ||
| Type | robot vacuum cleaner | robot vacuum cleaner |
| Cleaning | dry and wet side brush turbo brush wiping with a cloth | dry and wet retractable brush turbo brush wiping with a cloth |
| Water supply adjustment | ||
Robot vacuum cleaner | ||
| Suction power | 13000 Pa | 13000 Pa |
| Dust container capacity | 700 ml | 700 ml |
| Water tank capacity | 350 ml | 350 ml |
| Power auto-adjustment | ||
| Fine filter | HEPA | HEPA |
| Building a room map | rangefinder (laser) | rangefinder + camera |
| Cleaning area limitation | via the app | via the app |
Features | ||
| Control via smartphone | ||
| Voice assistant | Google Assistant, Amazon Alexa, Apple Siri | Google Assistant, Amazon Alexa, Apple Siri |
| Scheduled cleaning | ||
| Object recognition | ||
| Memory of several maps (floors) | ||
Battery | ||
| Battery capacity | 5.2 Ah | 5.2 Ah |
| Operating time | 285 min | 200 min |
| Charging time | 6 h | |
General | ||
| Cleaning area | 100 m² | 100 m² |
| Threshold clearance | 20 mm | 20 mm |
| Noise level | 74 dB | 74 dB |
| Dimensions (HxWxD) | 9.7x35x35 cm | 9.7x35x35 cm |
| Weight | 3.58 kg | |
| Color | ||
| Added to E-Catalog | august 2025 | august 2025 |
Compare Dreame D20 and D20 Pro
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Dreame D20 Pro often compared
Glossary
Cleaning
The cleaning method determines whether the robot can only collect dry debris or also wipe the floor covering with water, and which methods are available for this.
— Dry. The robot cleans the floor with brushes and an airflow, directing dust, crumbs, hair and pet fur into the dust container. This option is suitable for carpets and hard floors, but does not remove stains and marks from the floor.
— Dry and wet. The device combines debris suction with floor wiping using a damp attachment. Depending on the design, this may be a simple cloth or an active washing module that can better handle fresh stains and shoe marks.
— Side brushes. Small rotating elements that sweep debris along walls, near furniture and out of corners towards the main suction opening. One side brush on the edge of the body sweeps debris along walls, near furniture and out of corners towards the central suction channel. This design is usually sufficient, as the robot most often moves along obstacles with one particular side. Two brushes operate on both sides of the body and cover a wider strip of floor in one pass. This setup is especially convenient when moving along walls and between furniture, although on smooth floors fast brushes can sometimes scatter light debris.
— Extendable brush. A mov...able side brush automatically extends beyond the body when cleaning corners and areas near walls. Compared to a conventional fixed design, it reduces uncleaned areas where the robot body cannot get close enough.
— Turbo brush. A motorized module at the bottom of the robot that picks up debris and directs it into the suction channel. The working part may consist of a roller with bristles, rubber blades, or a combined surface. This system collects pet fur, hair and dirt from carpets more effectively than a simple suction opening, but bristled elements need regular cleaning to remove tangled hair.
— Floor scrubber. An active washing module with rotating mops or a roller that does not simply glide over the floor but mechanically scrubs away dirt. This system removes stains and marks better than a regular cloth.
— Extendable floor scrubber. One of the rotating mops shifts to the side and extends beyond the robot body. This allows the floor to be wiped closer to skirting boards, furniture legs and corners, where a standard fixed floor scrubber leaves a narrow dry strip.
— Vibration wiping. The washing platform rapidly moves the cloth back and forth, increasing friction against the surface. In terms of effectiveness, this option is between a passive cloth and rotating mops, effectively removing light stains and marks.
— Cloth wiping. A damp fabric attachment is fixed under the body and pulled across the floor as the robot moves. This simple solution is suitable for regular removal of fine dust and fresh marks, but barely scrubs off dried dirt.
— Dry. The robot cleans the floor with brushes and an airflow, directing dust, crumbs, hair and pet fur into the dust container. This option is suitable for carpets and hard floors, but does not remove stains and marks from the floor.
— Dry and wet. The device combines debris suction with floor wiping using a damp attachment. Depending on the design, this may be a simple cloth or an active washing module that can better handle fresh stains and shoe marks.
— Side brushes. Small rotating elements that sweep debris along walls, near furniture and out of corners towards the main suction opening. One side brush on the edge of the body sweeps debris along walls, near furniture and out of corners towards the central suction channel. This design is usually sufficient, as the robot most often moves along obstacles with one particular side. Two brushes operate on both sides of the body and cover a wider strip of floor in one pass. This setup is especially convenient when moving along walls and between furniture, although on smooth floors fast brushes can sometimes scatter light debris.
— Extendable brush. A mov...able side brush automatically extends beyond the body when cleaning corners and areas near walls. Compared to a conventional fixed design, it reduces uncleaned areas where the robot body cannot get close enough.
— Turbo brush. A motorized module at the bottom of the robot that picks up debris and directs it into the suction channel. The working part may consist of a roller with bristles, rubber blades, or a combined surface. This system collects pet fur, hair and dirt from carpets more effectively than a simple suction opening, but bristled elements need regular cleaning to remove tangled hair.
— Floor scrubber. An active washing module with rotating mops or a roller that does not simply glide over the floor but mechanically scrubs away dirt. This system removes stains and marks better than a regular cloth.
— Extendable floor scrubber. One of the rotating mops shifts to the side and extends beyond the robot body. This allows the floor to be wiped closer to skirting boards, furniture legs and corners, where a standard fixed floor scrubber leaves a narrow dry strip.
— Vibration wiping. The washing platform rapidly moves the cloth back and forth, increasing friction against the surface. In terms of effectiveness, this option is between a passive cloth and rotating mops, effectively removing light stains and marks.
— Cloth wiping. A damp fabric attachment is fixed under the body and pulled across the floor as the robot moves. This simple solution is suitable for regular removal of fine dust and fresh marks, but barely scrubs off dried dirt.
Building a room map
Map building allows the robot vacuum to memorize the room layout, track covered areas, and plan a systematic cleaning route. The mapping method affects its accuracy, orientation speed, and the device's ability to detect obstacles.
— With sensors. The robot creates an approximate map using data from the gyroscope, motion sensors, wheels, and obstacle collisions. This system is more affordable, but less accurate at determining the exact location of walls and furniture, while accumulated errors may lead to repeated passes or missed areas.
— With a rangefinder. A laser rangefinder, or lidar, measures the distance to surrounding objects and creates an accurate map of the room even before completing a full sweep. It works reliably in low light, confidently detects walls and furniture, and also supports room division and no-go zones.
— With a camera. The camera analyzes the surroundings and navigates using visual objects, helping refine the robot's position and the room layout. Its advantage is the ability to distinguish individual objects, although performance depends more heavily on lighting.
— With a rangefinder and camera. The combined system uses lidar for accurate distance measurement and map building, and a camera to recognize small objects on the floor. Such a robot not only navigates rooms confidently in any lighting but also avoids cables, shoes, toys, and pet...bowls more effectively.
— With sensors. The robot creates an approximate map using data from the gyroscope, motion sensors, wheels, and obstacle collisions. This system is more affordable, but less accurate at determining the exact location of walls and furniture, while accumulated errors may lead to repeated passes or missed areas.
— With a rangefinder. A laser rangefinder, or lidar, measures the distance to surrounding objects and creates an accurate map of the room even before completing a full sweep. It works reliably in low light, confidently detects walls and furniture, and also supports room division and no-go zones.
— With a camera. The camera analyzes the surroundings and navigates using visual objects, helping refine the robot's position and the room layout. Its advantage is the ability to distinguish individual objects, although performance depends more heavily on lighting.
— With a rangefinder and camera. The combined system uses lidar for accurate distance measurement and map building, and a camera to recognize small objects on the floor. Such a robot not only navigates rooms confidently in any lighting but also avoids cables, shoes, toys, and pet...bowls more effectively.
Operating time
Battery life determines how much area the robot vacuum can clean before returning to the docking station. Actual performance depends on the selected mode, suction power, floor type, operation of the mops or roller, and layout complexity. Therefore, the stated maximum time is usually achieved in a gentle mode and will be noticeably shorter during intensive cleaning.
Charging time
Full charging cycle of the robot vacuum to restore the battery from the minimum level to 100%. The process usually takes several hours and depends on the battery capacity and charging system power. However, with regular returns to the base, this parameter rarely affects cleaning convenience.


