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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchTransparent database encryption (TDE) protects database files and other covered storage when they are offline; field-level encryption protects selected values, and can keep them hidden from the database engine if encryption keys stay outside it. TDE usually needs little or no application change, while field-level encryption can narrow who sees sensitive data but affects queries and key management. They address different threats, so systems sometimes use both.
Which threat are you trying to stop?
The useful distinction is where the attacker gets access. A copied database file, a live database login, and a compromised application do not expose the same things. Encryption only helps against access that falls outside its protection boundary.
- Stolen or copied storage: TDE is designed to protect covered database files at rest. Field-level encryption can additionally keep selected column values encrypted in those files.
- A user querying a running database: TDE generally does not hide query results from a database principal authorized to read the data. Client-side field encryption can withhold plaintext from the database engine, depending on where decryption keys are held.
- A compromised application that can decrypt values: Neither approach guarantees protection once the attacker controls a process with access to plaintext or usable keys.
How do TDE and field-level encryption compare?
| Question | Transparent database encryption (TDE) | Field-level or client-side encryption |
|---|---|---|
| What is encrypted? | Database files and logs at rest; exact coverage depends on the product and storage path. Microsoft SQL Server TDE documentation | Selected values or fields. The implementation may encrypt in application code, a client library, or a database feature. |
| Who can see plaintext during normal operation? | The running database engine decrypts data for authorized operations, so authorized database users can ordinarily receive plaintext. | In a client-side design such as Always Encrypted, the client driver encrypts values before they reach the database and decrypts results on the client. Key placement determines who else can see plaintext. Microsoft’s Always Encrypted client-development documentation |
| What query operations are available? | Because the engine works with decrypted data, ordinary database queries remain available. | Depends on the scheme. Always Encrypted supports some operations on deterministically encrypted values; randomized encryption restricts database operations more substantially. See Microsoft’s query limitations. |
| Where are keys kept? | In a database key hierarchy; certificate or key backup and recovery are part of operating SQL Server TDE. The exact arrangement varies by platform. | For Always Encrypted, column master keys are kept in a trusted external key store; the database holds metadata and encrypted column encryption keys, not plaintext master keys. Microsoft’s key-management documentation |
| What about backups and copies? | Coverage is product- and path-specific. Azure SQL TDE covers associated backups and transaction logs at rest; AWS RDS storage encryption documentation covers automated backups, read replicas, and snapshots. Verify the particular service and configuration. | Encrypted fields remain encrypted in copies that preserve their ciphertext, but exports, application-generated files, and other transformations need separate review. Coverage depends on where encryption occurs. |
| What implementation work is involved? | Often little or no application change, though keys, certificates, backup coverage, and recovery must be managed. | Usually more application, driver, query, schema, and operational work. Every component that reads or writes protected values must handle the chosen encryption design. |
“Field-level encryption” is a design category, not one interchangeable vendor feature. The query and key-custody details in the Always Encrypted examples apply to that SQL Server/Azure SQL implementation, not automatically to every field-encryption system.
What does TDE protect—and what does it leave exposed?
TDE encrypts database files and logs while stored, with the database engine handling decryption as it reads data for normal authorized work. Microsoft describes SQL Server TDE as at-rest protection, and Azure SQL documentation frames its TDE protection for Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics as helping counter malicious offline activity. SQL Server TDE · Azure SQL TDE overview
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Where TDE is a good fit
- Reducing exposure if covered storage media or database files are obtained while offline.
- Encrypting data at rest without requiring the application to encrypt and decrypt each value.
- Protecting backups or logs where the particular platform includes them in its TDE coverage.
What TDE does not hide from the database
TDE is not a barrier between the running database engine and an authorized query. A database account permitted to read a table ordinarily receives decrypted results. It also does not replace access controls, network encryption, application security, or endpoint protection. A privileged administrator’s access depends on the platform’s roles and key arrangement; do not assume TDE alone makes live data invisible to a DBA.
Can field-level encryption keep data from a DBA?
It can, when encryption and decryption happen in a client or application process and the database does not have access to the decryption keys. Microsoft’s Always Encrypted is one concrete example: an enabled driver encrypts sensitive parameters before they are sent to SQL Server or Azure SQL and decrypts results on the client. Microsoft describes that feature as client-side encryption intended to keep sensitive data and related keys from being revealed to the SQL Server or Azure SQL Database engine. Develop applications using Always Encrypted
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For Always Encrypted, Microsoft recommends keeping column master keys in a trusted external key store. Documented examples include the Windows Certificate Store, Azure Key Vault, and a hardware security module (HSM). The database stores key metadata and encrypted column encryption keys rather than plaintext master keys. Always Encrypted key management
The key-separation condition
The protection is only as strong as the separation between the database and the processes or people that can use the keys. If the same administrator controls both the application and its key store, or an attacker compromises an application while it can decrypt values, that attacker may still obtain plaintext. Decide which roles may provision, use, rotate, back up, and recover keys; separating those duties can reduce database-operator visibility, but it also makes recovery and service availability part of the design.
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Can the database query encrypted fields?
There is no universal answer for field-level encryption: capabilities depend on the algorithm and implementation. In standard Always Encrypted, deterministic encryption produces the same ciphertext for the same plaintext. It enables selected equality-based operations such as point lookups, equality joins, grouping, and indexing. But matching ciphertexts reveal that values are equal, which can expose patterns—especially when the possible values come from a small set.
Randomized encryption produces different ciphertext for repeated plaintext and better hides repetition, but standard database operations on those values are much more limited. Always Encrypted with secure enclaves supports some richer operations in protected memory, including pattern matching and comparisons, but availability and supported operations depend on the SQL Server or Azure SQL platform and version. Microsoft’s secure-enclave documentation
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Other application-side schemes may require redesigned queries or additional mechanisms, such as keyed lookup tokens. Those mechanisms need their own security analysis; they do not make encrypted search free of trade-offs. Check the actual engine, client-driver versions, schema, query patterns, indexes, reports, and migration workflows before choosing a design.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Does TDE encrypt backups, logs, replicas, and exports?
Do not infer coverage for every copy from the label “TDE.” On Azure SQL, Microsoft’s TDE overview says associated backups and transaction logs are encrypted at rest. AWS RDS documents storage-encryption coverage for database storage, automated backups, read replicas, and snapshots; SQL Server and Oracle TDE support is engine-specific. Check the exact service, engine version, settings, and path used for each backup or copy. AWS RDS encryption best practices
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Exports, application-generated files, temporary data, and copies made outside the covered database path may need separate protection. For field-level encryption, a copy that retains ciphertext can remain protected from someone lacking the keys, but a process that decrypts data before exporting it can create plaintext elsewhere. Map each data flow instead of treating backup encryption as proof that all copies are protected.
Should you use both?
Often, yes—when the system needs broad at-rest protection and a separate boundary around a few particularly sensitive values. TDE can protect covered database storage and backups, while client-side field encryption can keep selected values unreadable to the database engine if the key boundary is maintained. They are complementary, not substitutes.
- Use TDE when the main concern is offline exposure of database files and covered storage or backups, and normal database query behavior should remain unchanged.
- Consider field-level/client-side encryption when selected values should not be visible to database operators or the database engine, and your query requirements tolerate its restrictions.
- Use both when those threat boundaries coexist, while separately applying least privilege, authentication, auditing, secure connections, and application security.
For PostgreSQL, distinguish application-level encryption from file-system, block-level, or network encryption: PostgreSQL’s encryption-options documentation describes these approaches, but should not be read as establishing a universal built-in TDE feature in upstream PostgreSQL. Managed services and extensions may offer their own approaches. PostgreSQL encryption options
How to choose without breaking queries or recovery
- Name the attacker and access path. Decide whether the target is someone with offline storage, a live database account, a privileged operator, or control of an application that can decrypt data.
- Map plaintext and keys. Identify which database, service, driver, application, key store, administrator, and backup process can see or recover plaintext.
- List every copy. Include database files, transaction logs, backups, replicas, snapshots, exports, temporary files, and reporting or migration pipelines; confirm actual product coverage for each.
- Test representative queries and workflows. Validate lookups, joins, sorting, uniqueness, indexing, reporting, inserts, migrations, backup restores, and driver compatibility with the intended encryption mode.
- Design key operations before deployment. Define access control, rotation, backup, recovery, and role separation, then test recovery rather than assuming encrypted data will remain available.
Product editions, versions, service tiers, drivers, and enclave support can differ. For SQL Server, Azure SQL, or AWS RDS, confirm current availability and configuration in the documentation for the exact deployment rather than generalizing from a product-family label.
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