Why Choose PGSQL as the Database for Resource Storage
Tags: aws, devops, opensource, postgres
Published: 2023-07-09 10:38:19

### Analyzing the Ideal Database Choice for Selefra's Policy-as-Code Tool

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/89y61j8sfdrus80y3zx0.png)

## Introduction

In today's cloud computing environment, the demand for Policy-as-Code (PaC) tools is increasing to achieve tasks such as multi-cloud security, cost analysis, and organizational structure analysis. Selefra is an excellent PaC tool that uses YAML to read policies and relies on PGSQL database for storing cloud service resources. This article will explore why PGSQL is chosen as the database for resource storage and highlight its advantages for such query analysis PaC tools.

### Scalability

PGSQL is a mature open-source Relational Database Management System (RDBMS) with excellent scalability. In the cloud environment, the number and scale of resources can grow over time. PGSQL's scalability allows it to handle large volumes of data and supports horizontal and vertical scaling, meeting the storage requirements of Selefra in different-scale environments.

### Data Consistency

As a relational database, PGSQL provides robust transaction support, ensuring data consistency. Selefra needs to read and analyze data from cloud service resources and perform policy checks based on it. PGSQL's transaction mechanism guarantees the integrity and consistency of data across multiple queries and analysis operations, enhancing the tool's reliability and accuracy.

### Powerful Query Capabilities

Selefra requires flexible and efficient querying and analysis of cloud service resources. PGSQL offers rich query capabilities, supporting complex SQL queries, aggregation operations, and window functions, among others. By leveraging PGSQL's powerful querying capabilities, Selefra can easily perform in-depth analysis of resources in multi-cloud environments, providing valuable insights to users.

Such as:

```sql
SELECT
  DISTINCT(a1.*)
FROM
  aws_s3_buckets a1,
  aws_s3_bucket_grants a2
WHERE
 a1.selefra_id = a2.aws_s3_buckets_selefra_id
  AND a2.grantee :: jsonb ->> 'URI' = 'http://acs.amazonaws.com/groups/global/AllUsers'
  AND a2.permission IN ('WRITE_ACP', 'FULL_CONTROL');
```

### Security

In PaC tools, security is a crucial concern, especially when dealing with sensitive data. PGSQL provides multi-level security features, including role-based access control, SSL/TLS encryption, and transparent encryption storage of data. By using PGSQL as the database for resource storage, Selefra can leverage these security features to protect user data, ensuring that sensitive information remains inaccessible to unauthorized parties.

### Mature Ecosystem

PGSQL, as a popular database management system, has a large and active community and ecosystem. This means that support and advice on performance tuning, security best practices, and bug fixes are readily available. Selefra can benefit from the knowledge and resources of the PGSQL community, staying up-to-date with the latest developments in database technology and obtaining support when needed.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/fyss6y20wxmvpsciapz0.png)

### Conclusion

Choosing PGSQL as the database for resource storage in Selefra is a wise decision. PGSQL's scalability, data consistency, powerful query capabilities, security features, and mature ecosystem make it an ideal choice for query analysis-based Policy-as-Code tools. By harnessing the advantages of PGSQL, Selefra can provide efficient, reliable, and secure analysis of cloud service resources, offering users a better experience in multi-cloud management.

GitHub: https://github.com/selefra/selefra

Slack: https://selefra.io/community/join

## **recommended reading**

[How to spot and fix issues with publicly accessible AWS S3 buckets](https://www.selefra.io/blog/how-to-spot-and-fix-issues-with-publicly-accessible-aws-s3-buckets-cljl5t7ng11971413tqwzdeuzfvm)

[How Selefra Combines GPT for Multi-Cloud Security Scanning](https://www.selefra.io/blog/how-selefra-combines-gpt-for-multi-cloud-security-scanning-clji608k39978973tqwvuerzhnu)