# Linter Reviews
**Vendor:** RELEX Group  
**Category:** [Relational Databases](https://www.g2.com/categories/relational-databases)  
**Average Rating:** 5.0/5.0  
**Total Reviews:** 1
## About Linter
Linter SQL is a Russian-developed relational database management system (RDBMS that adheres to the SQL:2003 standard. Designed for high-security environments, it supports a wide range of operating systems, including Windows, various Unix versions, QNX, and more. Linter facilitates seamless interaction between client applications and database servers across diverse hardware and software platforms. It offers interfaces compatible with most popular development tools, ensuring flexibility and ease of integration. Notably, Linter is certified by Russia's Federal Service for Technical and Export Control (FSTEC for Class 2 data security and Level 2 control of undeclared features, making it suitable for handling classified information. Its robust security features have led to its adoption by entities such as the Russian Ministry of Defense and the Ministry of Foreign Affairs. Key Features and Functionality: - Cross-Platform Compatibility: Operates on multiple operating systems, including Windows, Unix variants, and QNX. - Development Tool Integration: Provides interfaces for a broad spectrum of development environments, enhancing developer productivity. - High-Security Standards: Certified for Class 2 data security and Level 2 control of undeclared features by FSTEC, ensuring robust protection of sensitive data. - Comprehensive SQL Support: Compliant with the SQL:2003 standard, offering extensive SQL functionalities. - Scalability: Capable of managing large databases with up to 65,535 tables, each containing up to 1 billion rows. - Data Integrity and Concurrency: Supports ACID transactions, ensuring data consistency and reliability. Primary Value and User Solutions: Linter SQL addresses the critical need for a secure, reliable, and versatile database management system in environments where data confidentiality and integrity are paramount. Its cross-platform support and compatibility with various development tools make it a flexible solution for organizations operating in diverse IT ecosystems. The system's high-security certifications provide assurance for handling classified or sensitive information, making it an ideal choice for government agencies, defense sectors, and enterprises requiring stringent data protection measures. By offering a scalable and standards-compliant RDBMS, Linter enables organizations to manage large datasets efficiently while maintaining the highest security standards.




## Linter Reviews
  ### 1. Linter is SQL based RDBMS

**Rating:** 5.0/5.0 stars

**Reviewed by:** Gana  N. | Senior Engineer - Cloud Services and Software, Computer Software, Small-Business (50 or fewer emp.)

**Reviewed Date:** September 05, 2023

**What do you like best about Linter?**

Linter is a platform dependent it supports major operating systems own dependencys and vest relationsship management databases one of the market leading RDBMS.

**What do you dislike about Linter?**

Linter has limited learnings and to find handling complex rules and some structural problems.

**What problems is Linter solving and how is that benefiting you?**

Retional management with constraints and well maintained quality updates.



- [View Linter pricing details and edition comparison](https://www.g2.com/products/linter/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-19+03%3A05%3A29+-0500&secure%5Bsession_id%5D=206db28e-3273-4d5a-87da-95cb2ecf9cfb&secure%5Btoken%5D=b8e489ff3691a786e1121d9668bc3fadb3a628d435de4f464d4cf17083e55e90&format=llm_user)

## Linter Features
**Management **
- Data Schema
- Query Language
- ACID - Complaint
- Data Replication

**Support **
- Text Search
- Data Types
- Languages
- Operating Systems

**Security**
- Database Locking
- Access Control
- Encryption
- Authentication

**Performance **
- Disaster Recovery
- Data Concurrency
- Workload Management
- Advanced Indexing
- Query Optimizer

**Database Features**
- Storage
- Availability
- Stability
- Scalability
- Security
- Data Manipulation
- Query Language

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