ACID Properties of DBMS Explained with Examples
Published: 1 Jan 2025
What are the ACID Properties in DBMS
The ACID properties in a Database Management System (DBMS) are essential rules that help keep data safe and reliable during transactions. ACID stands for Atomicity, Consistency, Isolation, and Durability. These properties ensure that each transaction is completed fully or not at all (Atomicity), keeps data accurate and stable (Consistency), prevents transactions from interfering with each other (Isolation), and saves data permanently even after unexpected issues (Durability). Together, ACID properties make databases trustworthy and secure, allowing smooth data management.
ACID Properties of a Relational Database with Examples
The ACID properties are four rules that databases follow to keep data accurate, safe, and reliable:
- Atomicity
- Consistency
- Isolation
- Durability
Meaning of Atomicity in DBMS with a Real-life Example
Atomicity means that a transaction in a database must either be completed fully or not happen at all. If any part of the transaction fails, the entire transaction is canceled, and no changes are made to the data. This all-or-nothing approach ensures that incomplete or failed actions don’t leave the database in an incorrect state.
Real-life example of Atomicity in a Database Transaction
- Imagine you’re transferring $100 from your savings account to your checking account.
- For this transaction, the bank needs to take $100 out of your savings and add $100 to your checking.
- If something goes wrong (like a system error) after the money is taken from savings but before it’s added to checking, Atomicity cancels the whole transaction.
- This means the $100 would stay in your savings account, and nothing would change in your checking account.
- With Atomicity, the transaction is all-or-nothing, so your money doesn’t disappear or end up in an incorrect state.
What is Consistency in ACID Properties?
Consistency means that a database must follow all its rules and constraints to keep data accurate. After any transaction, the data should remain valid and meet all requirements set by the database.
Simple Example of Consistency in DBMS
- Imagine a bank rule that says an account balance cannot be negative.
- You try to withdraw $200 from an account with only $150.
- Since this would break the rule (making the balance negative), the database blocks the transaction.
- This keeps the data consistent and follows the bank’s rules about balances.
- Consistency ensures that any action or transaction leaves the data accurate and within the set limits.

Explanation of Isolation in ACID with a Practical Example
Isolation means that transactions happen independently in a database, even if they’re happening at the same time. This prevents one transaction from affecting or interfering with another.
Real-world Example of Isolation in DBMS Transactions
- Imagine two people, Alex and Sam, both trying to withdraw money from the same account at the same time.
- Alex starts a transaction to withdraw $100, and Sam starts one to withdraw $50.
- Isolation ensures that Alex’s transaction is completed fully before Sam’s transaction begins (or vice versa).
- This prevents any confusion, like double-counting or miscalculating the balance.
- With isolation, each transaction happens separately, keeping the account balance accurate.
Definition of Durability in DBMS with Example
Durability means that once a transaction is completed in a database, its changes are saved permanently, even if there’s a system failure or power outage afterward. This ensures that data is safe and won’t be lost unexpectedly.
Example of Durability in Database Recovery
- Imagine you just completed a money transfer of $100 from your savings to your checking account.
- After you receive a confirmation of the transaction, a sudden power outage occurs.
- Durability ensures that the $100 transfer is still recorded in the bank’s database, even after the power is restored.
- When the system comes back online, the balance will accurately reflect the completed transaction.
- This means your money transfer is secure and won’t be lost, providing confidence in the system’s reliability.
ACID Property | Responsibility |
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Atomicity | Handled by the Transaction Manager. |
Consistency | Managed by the Application Programmer. |
Isolation | Controlled by the Concurrency Control Manager. |
Durability | Overseen by the Recovery Manager. |
Top Advantages of ACID Properties in Relational Databases |
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Disadvantages or Limitations of ACID in Modern Databases |
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Conclusion About ACID Properties DBMS
ACID properties are essential for ensuring that databases are reliable, accurate, and secure. They help maintain data integrity by making sure that transactions are completed fully or not at all, that data stays consistent, and that completed actions are saved permanently. While ACID properties provide many advantages, such as data accuracy and reliable error recovery, they can also introduce challenges like performance overhead and complexity in implementation. Overall, understanding and applying ACID properties are crucial for building robust database systems that meet the needs of users and applications effectively.
FAQS – ACID Properties Database
Transaction ACID properties refer to the four key rules (Atomicity, Consistency, Isolation, and Durability) that govern how transactions are handled in a database. These properties ensure that transactions are processed reliably, maintaining the integrity and accuracy of data.
The ACID properties in SQL refer to the same four rules (Atomicity, Consistency, Isolation, Durability) applied to SQL transactions. These properties ensure that SQL commands executed within transactions maintain data integrity and reliability.
ACID properties apply to databases by providing a framework for handling transactions safely and effectively. They ensure that operations are completed correctly and that data remains accurate and secure, allowing users to rely on the database for consistent and trustworthy information.
ACID properties are important because they ensure that data in a database is reliable and accurate. They help prevent errors during transactions, making sure that all changes are correct and complete. This way, users can trust that the information in the database is safe and won’t be lost or corrupted.
We can ensure Atomicity by using a Transaction Manager that keeps track of all actions within a transaction. If any part of the transaction fails, the manager cancels the entire transaction, reverting all changes. This way, either all changes are saved, or none are, keeping track in a consistent state.
ACID is a group of rules that ensure a transaction happens properly or not at all. Each property keeps the database accurate and stable.
The common five are Atomicity, Consistency, Isolation, Durability, and sometimes Serializability. They help manage how data changes safely.
ACID is used in traditional databases for accuracy and safety. BASE is used in NoSQL databases, which focus more on speed and flexibility.
The main types are flat transactions, nested transactions, and distributed transactions. They differ by size and how they interact with other processes.
Serializability ensures the result of transactions is the same as if they happened one after another. It helps prevent problems in multi-user systems.
Deadlock happens when two transactions wait on each other forever. It stops the system from finishing either task.
Indexing makes data search faster in a database. It works like a book index, helping the system find information quickly.

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- Stay Relevant
- Stay Positive
- True Feedback
- Encourage Discussion
- Avoid Spamming
- No Fake News
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- No Personal Attacks