SQL Encryption: Difference Between NetLib Security's Whole Database and Column Level Encryption Methodology (2024)

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NetLib® Encryptionizer® is the only product line that can provide both whole database and column-level encryption for all Editions and versions of SQL Server. Below is a discussion of each of the methods by which data in SQL Server can be protected.

NetLib Encryptionizer Whole Database Encryption and Column Encryption products can be layered to provide the protections of both methods.

Whole Database Encryption Advantages

  • Simplest to implement – a few clicks and it is done.
  • No code changes necessary to applications
  • Negligible performance impact (<1%) on typical transactions on a multi-processor server. More efficient and less impact than Column Encryption.
  • Protects ALL information in a database including schema, stored procedures, all data points.
  • Can encrypt Master and other system databases to protect security information.
  • Prevents the database from being attached to an unauthorized instance of SQL Server .
  • Can protect databases on backup media
  • Can protect databases from the network, domain, or Windows administrators
  • Can protect databases from the SQL sysadmin in certain cases (requires a dedicated SQL instance for the database).
  • Can protect databases on laptops/desktops.
  • Developers can use it to protect intellectual property, including proprietary business processes and schema of the database.
  • Can be used to protect databases distributed on CD, over the Internet, etc.
  • Optional APIs for encrypting non-database files such as documents, spreadsheets, or graphic images.

Whole Database Encryption Limitations

  • Single key for the entire database
  • Cannot protect against the SQL sysadmin in a SQL instance shared with other databases (can be mitigated by following Microsoft Best Practices for assigning authority)

Column Level Encryption Advantages

  • More flexible in choosing which pieces of data to encrypt. Applications can be written to ultimately control when, where, by whom, and how data is viewed.
  • Can protect data from the SQL sysadmin even where there is no dedicated SQL instance (requires custom programming).
  • Contains both an API interface for maximum power and flexibility, and a seamless point-and-click interface for maximum ease of deployment.
  • Different columns (and even different rows) can be encrypted with different keys (requires custom programming).
  • Transparent encryption possible in some cases.

Column Level Encryption Limitations

  • Performance Impact in typical transactions – 5-6 percent on average slower on accessing/updating an encrypted column versus plaintext column. The greater the number of columns encrypted, the greater potential for performance impact.
  • Cannot encrypt primary or foreign key fields without changes to existing programs.
  • Limitations on types of database searches that can be performed. For example, comparison searches on an encrypted column (e.g., LastName begins with “S”, Salary between $50,000 and $60,000) can result in table scans, which can be slow in a large database.
  • Cannot protect the intellectual property of the database (e.g., schema, views).

Why is NetLib Encryptionizer’s Transparent Database Encryption (Whole Database) faster than Column Encryption?

It seems counter-intuitive. Why would performance when working with a wholly encrypted database be better than performance when working with just a few columns? That is because NetLib’s patented Transparent Database Encryption processing actually takes place between the SQL Server and file system layers. Since Transparent Database Encryption works at such a low level, it is very efficient. As a matter of fact, on a multi-processor machine, our clients have noted virtually no impact on performance when working with a wholly encrypted database. Since column encryption works within SQL Server itself, there is some performance impact, reported to be 5-6 percent slower accessing an encrypted column vs. a plaintext one. This performance impact is additive when accessing multiple encrypted columns at one time. As a general rule of thumb, because of the possible performance impact of column encryption, if more than 10 percent of the database needs to be encrypted, Transparent Database Encryption is recommended.

For more information about NetLib® Encryptionizer® for data encryption, view our case studies and additional white papers or request a fully functional evaluation today!

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SQL Encryption: Difference Between NetLib Security's Whole Database and Column Level Encryption Methodology (2024)

FAQs

What is the difference between always encrypted and column-level encryption? ›

Always encrypted is completely transparent to the applications. The client application needs to be heavily modified to support column-level encryption. An Always Encrypted-enabled driver needs to be installed on a client computer to handle encryption and decryption transparently.

What is the difference between column-level encryption and tablespace encryption? ›

TDE tablespace encryption has no storage overhead, but TDE column encryption has some associated storage overhead. Encrypted column data must have more storage space than plaintext data. In addition, TDE pads out encrypted values to multiples of 16 bytes.

What is the difference between column-level encryption and data masking? ›

Encryption is ideal for storing or transferring sensitive data, while data masking enables organizations to use data sets without exposing the real data. Whichever method gets used, it is essential that the encryption keys and algorithms used to mask data are secured to prevent unauthorized access.

What is the difference between data-at-rest encryption and field-level encryption? ›

Data at Rest Encryption encrypts the underlying files stored in the file system. It's transparent to Marketing Cloud Engagement and doesn't impact other features. Field-Level Encryption (FLE) protects sensitive data at the level of the Marketing Cloud Engagement application.

What are the three 3 different encryption methods? ›

There are different types of encryption techniques, but the following three are the most common and widely used: Symmetric Encryption, Asymmetric Encryption, and Hashing.

What are the disadvantages of column-level encryption? ›

BUT, I understand that it has the following drawbacks:
  • It is not transparent: the user must explicitly choose the key, encrypt/decrypt the column.
  • It is hardly portable to other clouds/DBs,
  • Efficient select/filter/search on the encrypted attribute is compromised because of impossibility of indexing on them.
Jun 28, 2023

What is the difference between row level and column level security? ›

CLS allows for specific users to access only certain columns of a table relevant to their department, protecting sensitive data. RLS, on the other hand, restricts users to accessing only data rows pertinent to their role or department.

What is column level encryption in SQL Server? ›

Column-level encryption provides encryption at a more granular level of data that can be applied on all or selected columns. With column-level encryption, you can define different encryption keys for each different column. You can use encryption in SQL Server for connections, data, and stored procedures.

Which encryption method is better? ›

Security: Asymmetric encryption is considered more secure due to the use of two separate keys, making it harder for attackers to compromise the system. However, symmetric encryption can still provide strong security when implemented correctly with strong key management practices.

What is the difference between database masking and database encryption? ›

Data Masking vs Data Encryption

Data masking secures data by removing either a part of the sensitive data, replacing it with a “mask” with a similar structure but a different value. Encryption on the other hand uses complex algorithms to change the sensitive data until it is unreadable without a key.

What are the 2 types of data encryption? ›

There are two types of encryption in widespread use today: symmetric and asymmetric encryption. The name derives from whether or not the same key is used for encryption and decryption.

What is the difference between data security and data encryption? ›

MFA is a multi-layered security system that grants users access to a network, system, or application only after confirming their identity with more than one credential or authentication factor. Data encryption: Encrypt data at rest and in transit. This ensures that even if data is stolen, it is unreadable.

Is MongoDB encryption at rest? ›

MongoDB Enterprise supports KMIP-enabled key providers for encryption at-rest. Cloud-provided KMS (Key Management Systems) is not supported.

Should you encrypt all data at rest? ›

Data encryption is optional

You can choose not to encrypt your data at rest. However, it is recommended to encrypt the data for security and protection of your data. Data At Rest Encryption is supported for all different components in which customer data is stored.

What is the best encryption for data at rest? ›

Hard disk encryption is the most common way to encrypt data at rest. Encrypting data at rest secures files and documents, ensuring that only those with the key can access them.

What is column-level encryption? ›

Column-level encryption is a technique that encrypts specific columns or fields within a database table. This process, conducted by the application or the Database Management System (DBMS), allows for granular access control, flexibility, enhanced data security, and minimal performance impact.

What is the difference between TDE and always encrypted? ›

To simplify: TDE secures all of the database files on disk, hence the term "at rest". Since encryption and decryption are done by the database engine, it's transparent to all clients. Always Encrypted is more granular, specific data elements/columns store encrypted data which requires a "key" to translate.

What are the two types of encryption allowed in always encrypted? ›

Provision cryptographic keys to protect your data.

Always Encrypted uses two types of keys: Column encryption keys. Column master keys.

What are the two levels of encryption? ›

Asymmetric-key Encryption

The public key is used to encode data, while the private key is used to decode the data. Asymmetric encryption is often used in combination with symmetric encryption for an additional layer of security. The public key is used to encrypt the data, while the private key is used to decrypt it.

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