The main difference between High-level Data Link Control (HDLC) and Point-to-Point Protocol (PPP) is that High-level Data Link Control is bit oriented protocol, on the other hand Point-to-Point Protocol is the byte oriented protocol.
Another difference between HDLC and PPP is that HDLC is implemented by Point-to-point configuration and also multi-point configurations on the other hand While PPP is implemented by Point-to-Point configuration only.
Let’s see that difference between HDLC and PPP:
|1.||HDLC stands for High-level Data Link Control.||PPP stands for Point-to-Point Protocol.|
|2.||HDLC is a bit oriented protocol.||PPP is a byte oriented protocol.|
|3.||HDLC is implemented by Point-to-point configuration and also multi-point configurations.||PPP is implemented by Point-to-Point configuration only.|
|4.||Dynamic addressing is not offered by HDLC.||While in this Dynamic addressing is offered.|
|5.||HDLC is used in synchronous media.||PPP is used in synchronous media as well as asynchronous media.|
|6.||HDLC is not compatible with non-Cisco devices.||PPP is compatible with npn-Cisco devices.|
- Cisco Discovery Protocol (CDP) and Link Layer Discovery Protocol (LLDP) in Data Link Layer
- Difference between Stop and Wait protocol and Sliding Window protocol
- Internet Control Message Protocol (ICMP)
- Difference between Flow Control and Congestion Control
- Difference between Serial Line Internet Protocol (SLIP) and Point-to-Point Protocol (PPP)
- Difference between File Transfer Protocol (FTP) and Secure File Transfer Protocol (SFTP)
- Framing in Data Link Layer
- Difference between Numerical Control (NC) and Computer Numerical Control (CNC)
- Difference between Stateless and Stateful Protocol
- Principle Of Reliable Data Transfer Protocol
- Difference Between Go-Back-N and Selective Repeat Protocol
- Difference between Data Scientist, Data Engineer, Data Analyst
- Difference between Distance vector routing and Link State routing
- Difference between a Data Analyst and a Data Scientist
- Difference between Data Warehouse and Data Mart
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.