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As organizations increasingly adopt Infrastructure as Code (IaC) practices, securing these definitions becomes critical to prevent vulnerabilities from reaching production environments. IaC security tools help identify misconfigurations, compliance issues, and security risks early in the development lifecycle.

This article examines the leading open-source IaC security solutions to help you select the right tool for your requirements.

## Checkov

[Checkov](https://github.com/bridgecrewio/checkov) is a static code analysis tool for detecting security misconfigurations in infrastructure as code and performing software composition analysis.

![Checkov](/content/blog/top-open-source-iac-security-tools/checkov.webp)

Maintained by Prisma Cloud, Checkov analyzes multiple frameworks including Terraform, CloudFormation, Kubernetes, Dockerfile, and ARM templates. Its distinctive graph-based scanning detects security issues across interconnected resources, with over 1,000 built-in policies covering compliance frameworks and cloud provider guidelines.

The tool integrates with CI/CD pipelines and provides remediation suggestions for detected issues. Developers can suppress false positives using inline code comments (`checkov:skip`). Checkov's multi-framework support and comprehensive policy library make it effective for implementing security checks early in development.

## TFLint

[TFLint](https://github.com/terraform-linters/tflint) is a pluggable Terraform linter that detects possible errors, deprecated syntax, and enforces best practices in your Terraform code.

TFLint catches issues that Terraform's native validation misses by validating against actual cloud provider constraints (AWS, Azure, GCP). It identifies potential errors like invalid instance types or misconfigured security groups before deployment.

Its plugin architecture supports custom rules and provider-specific validations. TFLint integrates with IDEs, command-line workflows, and CI pipelines for quick feedback. While primarily focused on correctness rather than security scanning, it serves as a valuable complement to other security tools, especially in Terraform-centric environments.

## Trivy

[Trivy](https://github.com/aquasecurity/trivy) is a multi-purpose security scanner that detects vulnerabilities and misconfigurations in both containers and infrastructure code.

![Trivy](/content/blog/top-open-source-iac-security-tools/trivy.webp)

Trivy scans across multiple targets: container images, filesystems, git repositories, and various IaC formats. For infrastructure code, it identifies misconfigurations in Terraform, Kubernetes, CloudFormation, and other formats using policies based on industry standards.

The tool combines container and IaC scanning in a single solution, making it valuable for DevSecOps pipelines. Trivy integrates with CI/CD systems and produces outputs in multiple formats (JSON, SARIF, HTML). Its regularly updated vulnerability database helps protect against new threats. This unified approach makes Trivy particularly useful for teams looking to consolidate security tooling across container and infrastructure environments.

## CloudSploit

[CloudSploit](https://github.com/aquasecurity/cloudsploit) is an open-source Cloud Security Posture Management (CSPM) tool that identifies security risks across major cloud providers.

![CloudSploit](/content/blog/top-open-source-iac-security-tools/cloudsploit.webp)

CloudSploit scans live cloud infrastructure environments to detect misconfigurations and security issues. Unlike static IaC scanners, it examines the actual deployed state of resources across AWS, Azure, GCP, and Oracle Cloud. This runtime analysis helps catch drift between defined infrastructure and production environments.

The tool features a plugin architecture with over 300 security checks and configurable risk levels. CloudSploit provides remediation guidance in its reports and supports multiple output formats including console, CSV, JSON, and JUnit XML. Its ability to monitor running infrastructure makes it particularly useful for continuous security assessment of cloud environments after deployment.

## KICS

[KICS](https://github.com/Checkmarx/kics) (Keeping Infrastructure as Code Secure) is an open-source solution that scans infrastructure code to find security vulnerabilities, compliance issues, and misconfigurations.

![KICS](/content/blog/top-open-source-iac-security-tools/kics.webp)

KICS uses a query-based approach to security scanning with over 1,500 predefined queries for multiple IaC frameworks. It supports Terraform, Kubernetes, Docker, CloudFormation, Ansible, Bicep, and others through a unified scanning engine. The tool covers security, compliance, and infrastructure reliability checks.

Its key feature is the extensible query engine that allows teams to define custom rules using a simplified query language based on Open Policy Agent. KICS provides detailed vulnerability explanations with remediation guidance and severity ratings. It integrates with CI/CD systems and offers multiple output formats for reporting. This makes KICS especially useful for organizations working with diverse infrastructure definitions that need customizable security rules.

## Conclusion

| Tool        | Best For                     | Coverage                 | Integration Capabilities | Key Features                               |
| ----------- | ---------------------------- | ------------------------ | ------------------------ | ------------------------------------------ |
| Checkov     | Multi-framework scanning     | Multiple IaC frameworks  | CI/CD pipelines          | Graph-based scanning, 1,000+ policies      |
| TFLint      | Terraform validation         | Terraform                | IDE integration          | Provider-specific rules, plugin system     |
| Trivy       | Unified security scanning    | Container and IaC        | CI/CD systems            | Regularly updated vulnerability database   |
| CloudSploit | Runtime security assessment  | Multi-cloud environments | Notification systems     | 300+ checks, configuration drift detection |
| KICS        | Customizable security checks | Multiple IaC frameworks  | CI/CD integration        | 1,500+ queries, OPA-based rule engine      |

Each tool serves different security needs:

- **Checkov**: Provides comprehensive policy coverage across multiple frameworks with graph-based analysis
- **TFLint**: Specializes in Terraform-specific validation against actual cloud provider constraints
- **Trivy**: Offers unified scanning for both infrastructure code and containers in a single tool
- **CloudSploit**: Focuses on runtime scanning of deployed cloud resources across major providers
- **KICS**: Features an extensive, customizable query engine for diverse infrastructure definitions

Integrating IaC security early in development is essential for maintaining secure infrastructure at scale. When selecting an IaC security tool, you may consider these factors above.



<HintBlock type="info">

This post is maintained by Bytebase, an open-source database governance platform that can manage PostgreSQL hosted in any providers. We update the post every year.

</HintBlock>

PostgreSQL remains the default choice for relational databases in 2026. This article compares hosting from the major clouds (AWS, GCP, Azure) and specialized providers (DigitalOcean, Aiven, Neon, PlanetScale, Prisma, Supabase, TigerData, Heroku), focusing on pricing models and key cost factors.

## Understanding Pricing Models

Three pricing models dominate:

**Instance-Based:** Pay hourly for fixed vCPU/RAM; storage and I/O billed separately. Common with major clouds.

**Usage-Based/Serverless:** Pay only for what you use — compute, storage, I/O, and data transfer. Ideal for variable workloads.

**Tiered Plans:** Fixed-price bundles from specialized providers offer predictable costs but less flexibility.

## Comparison Table

| Provider | Entry-Level (Monthly) | Mid-Range (Monthly) | Enterprise-Level (Monthly) | Free Tier Available |
| --- | --- | --- | --- | --- |
| **AWS RDS** | $12.41 (db.t4g.micro: 2 vCPU, 1 GiB) | $99.28 (db.m6g.large: 2 vCPU, 8 GiB) | $794.24 (db.m6g.4xlarge: 16 vCPU, 64 GiB) | $200 credits (new accounts) |
| **AWS Aurora** | $59.86 (db.t4g.medium: 2 vCPU, 4 GiB) | $211.70 (db.r6g.large: 2 vCPU, 16 GiB) | $1,693.60 (db.r6g.4xlarge: 16 vCPU, 128 GiB) | $200 credits (new accounts) |
| **Google Cloud SQL** | $11.32 (db-f1-micro: 0.2 vCPU, 0.6 GiB) | $122.49 (db-n1-standard-2: 2 vCPU, 7.5 GiB) | $980.03 (db-n1-standard-16: 16 vCPU, 60 GiB) | Yes ($300/90 days) |
| **Google AlloyDB** | $143.68 (2 vCPU, 16 GiB) | $301.44 (4 vCPU, 32 GiB) | $1,209.60 (16 vCPU, 128 GiB) | No |
| **Azure PostgreSQL** | $14.60 (B1ms: 1 vCPU, 2 GiB) | $99.28 (GP_Gen5_4: 4 vCPU, 16 GiB) | $794.24 (GP_Gen5_32: 32 vCPU, 128 GiB) | Yes (12 months) |
| **DigitalOcean** | $15.00 (1 vCPU, 1 GiB) | $60.00 (2 vCPU, 4 GiB) | $244.00 (6 vCPU, 16 GiB) | No |
| **Aiven** | Free (2 vCPU, 1 GiB) | $110 (4 vCPU, 8 GiB) | $435 (8 vCPU, 16 GiB) | Yes |
| **Neon** | Free (100 CU-hours, 0.5 GiB storage) | Usage-based: $0.106/CU-hour (Launch) | Usage-based: $0.222/CU-hour (Scale) | Yes |
| **Supabase** | Free (1 vCPU, 0.5 GiB) | $25 (2 vCPU, 1 GiB) | $99 (4 vCPU, 8 GiB) | Yes |
| **TigerData** (Timescale) | Free (750 MB) | Usage-based (hourly compute + storage) | Usage-based | Yes |
| **PlanetScale Postgres** | $5 (PS-5: 1/16 vCPU, 512 MiB) | $148 (PS-80 HA: 3 x 1 vCPU, 8 GiB) | $570 (PS-320 HA: 3 x 4 vCPU, 32 GiB) | No |
| **Prisma Postgres** | Free (100k operations, 500 MB) | $10 (Starter: 1M operations, 10 GB) | $49-129 (Pro/Business: 10M-50M operations) | Yes |
| **Heroku Postgres** | $5 (Essential-0: 1 GB storage) | $50 (Standard-0) | $500+ (8 vCPU, 16 GiB) | No |

## Major Cloud Providers: The Big Three

**AWS**, **Google Cloud**, and **Azure** all offer capable managed PostgreSQL; the tradeoff is complex pricing.

### AWS

AWS offers two primary managed PostgreSQL options: Amazon RDS for PostgreSQL and Amazon Aurora (PostgreSQL-compatible edition).

#### RDS for PostgreSQL

- 💰 **Pricing**: Instance-based (e.g., `db.t3.micro`, `db.m6g.large`)
- 📦 **Storage**: gp3 (scalable) or io1/io2 (high-performance)
- 🛡️ **High Availability**: Multi-AZ; doubles instance cost
- 💾 **Backups**: Free up to DB size; extra charged per GB-month
- 🧮 **Discounts**: Reserved Instances, Savings Plans

#### Aurora PostgreSQL-Compatible

- 💰 **Pricing**: Cluster-based, compute + storage + I/O billed separately
- ⚙️ **Compute**: Per instance-hour or per ACU-hour (Serverless v2)
- 📦 **Storage**: Auto-scaling, charged per GB-month
- 🔁 **I/O**: Pay-per-request (Standard) or free (I/O-Optimized)
- 🛡️ **High Availability**: Built-in, cross-AZ replication
- 💾 **Backups**: Continuous to S3
- 💵 **Entry Point**: Higher than RDS; designed for heavier workloads

### Google Cloud

GCP provides two main managed PostgreSQL offerings: the standard Cloud SQL for PostgreSQL and the higher-performance AlloyDB for PostgreSQL.

#### Cloud SQL for PostgreSQL

- 💰 **Pricing**: Instance-based (`db-f1-micro`, `db-n1-standard-2`, etc.)
- ⚙️ **Compute**: Billed per vCPU + RAM hour
- 📦 **Storage**: SSD or HDD, per GB-month
- 🛡️ **High Availability**: Regional standby; doubles cost
- 💾 **Backups**: Charged per GB-month
- 🧮 **Discounts**: Committed Use Discounts (CUDs)

#### AlloyDB for PostgreSQL

- 💰 **Pricing**: Cluster-based with separate compute + storage
- ⚙️ **Compute**: Per vCPU + RAM hour
- 📦 **Storage**: Auto-scaling, includes I/O
- 🛡️ **High Availability**: Built-in, 99.99% SLA
- 💾 **Backups**: Continuous with PITR
- 💵 **Entry Point**: Higher (min: 2 vCPU, 16 GiB RAM)

### Microsoft Azure

Azure's primary managed PostgreSQL offering is Azure Database for PostgreSQL, with Flexible Server as the recommended deployment model.

#### PostgreSQL Flexible Server

- 💰 **Pricing**: Compute + Storage
- ⚙️ **Tiers**: Burstable (B-series, low-cost), General Purpose (D-series), Memory Optimized (E-series)
- 📦 **Storage**: Per GB-month with baseline and optional IOPS
- 🛡️ **High Availability**: Optional zone-redundant (doubles cost)
- 💾 **Backups**: Configurable, per GB-month
- 🧮 **Discounts**: Reserved Capacity (up to 70% off compute)

## Specialized Managed PostgreSQL Providers

Beyond the big three, specialized providers compete on developer experience, specific features (serverless, time-series, ORM integration), and simpler pricing, often built on the major clouds' infrastructure.

### DigitalOcean

DigitalOcean offers Managed Databases for PostgreSQL, focusing on simplicity and predictable pricing.

- 💰 **Model**: Tiered monthly plans
- 💵 **Entry Point**: $15/month (1 vCPU, 1 GiB RAM, 10 GB SSD)
- 📦 **Storage**: Included in the plan
- 🌐 **Bandwidth**: 1 TB outbound included; overage billed
- 🛡️ **High Availability**: Optional standby node (doubles cost)
- 💾 **Backups**: Daily backups + 7-day PITR
- 🆓 **Free Tier**: ❌ Not available

### Aiven

Aiven provides managed PostgreSQL (and other open-source data services) hosted on major cloud providers (AWS, GCP, Azure, DigitalOcean, UpCloud).

- 💰 **Model**: Tiered plans by cloud & region
- 💵 **Entry Point**: Free (2 vCPU, 1 GiB RAM, 1–5 GB SSD); paid plans from ~$19/month
- 📦 **Storage & Network**: Included in plan; generous allowances
- 🛡️ **High Availability**: Included in Business and Premium tiers
- 💾 **Backups**: Automatic backups included
- 🆓 **Free Tier**: ✅ Yes

### Neon

Neon offers a serverless PostgreSQL platform with a unique architecture separating storage and compute. Databricks acquired Neon in May 2025 (its technology also powers Databricks Lakebase), and prices dropped substantially afterwards: storage fell from $1.75 to $0.35/GB-month and the monthly plan minimums were removed.

- 💰 **Model**: Purely usage-based: $0.106/CU-hour (Launch) or $0.222/CU-hour (Scale), no monthly minimum
- 💵 **Entry Point**: Free (100 CU-hours/month, 0.5 GB storage per project)
- ⚙️ **Compute**: Billed only when active; scales to zero when idle
- 📦 **Storage**: $0.35/GB-month
- 🛡️ **High Availability**: Built into platform architecture
- 💾 **Backups**: Includes time-travel and PITR
- 🆓 **Free Tier**: ✅ Yes

### PlanetScale Postgres

PlanetScale, known for years as a MySQL/Vitess platform, launched managed PostgreSQL in 2025 and made benchmark-topping performance its pitch. Pricing is resource-based, pro-rated to the millisecond.

- 💰 **Model**: Resource-based node types, pro-rated to the millisecond
- 💵 **Entry Point**: $5/month single node (PS-5: 1/16 vCPU, 512 MB); 3-node HA clusters from $15/month
- ⚙️ **Metal**: All-inclusive clusters with local NVMe storage from $50/month; storage included
- 🛡️ **High Availability**: 3-node clusters with automatic failover
- 💾 **Backups**: 2x per day included + PITR
- 🔀 **Coming**: Neki, PlanetScale's sharded Postgres (Vitess-style horizontal scaling)
- 🆓 **Free Tier**: ❌ No, but startup credits available case-by-case

### Prisma Postgres

Prisma (the company behind the popular TypeScript ORM) launched Prisma Postgres in 2025, a serverless PostgreSQL built on unikernel microVMs with no cold starts. Its pricing model is unique: you pay per ORM operation, not for compute or bandwidth.

- 💰 **Model**: Operations-based; an operation is one Prisma ORM query
- 💵 **Entry Point**: Free (100k operations, 500 MB storage, 50 databases); Starter $10/month (1M operations, 10 GB)
- ⚙️ **Higher Tiers**: Pro $49 (10M operations, 50 GB), Business $129 (50M operations, 100 GB)
- 📦 **Overages**: Metered per 1,000 operations and per GB, rates fall on higher tiers
- 💾 **Backups**: Daily; 30-day retention on Business
- 🆓 **Free Tier**: ✅ Yes

### Supabase

Supabase positions itself as an open-source Firebase alternative, providing a suite of backend tools, including a dedicated PostgreSQL database for each project.

- 💰 **Model**: Tiered plans + usage-based overages
- 💵 **Entry Point**: Free (shared DB, 500 MB); Pro starts at $25/month
- ⚙️ **Compute & Storage**: Varies by tier; add-ons available
- 🛡️ **High Availability**: Included in Team and Enterprise tiers
- 💾 **Backups**: PITR; retention depends on tier
- 🆓 **Free Tier**: ✅ Yes

### TigerData (formerly Timescale)

Timescale renamed itself TigerData in June 2025, repositioning from time-series specialist to "modern PostgreSQL for the analytical and agentic era." Tiger Cloud remains fully compatible with standard PostgreSQL, with TimescaleDB's hypertables and columnar storage built in.

- 💰 **Model**: Pure usage-based (hourly compute + actual storage used)
- 💵 **Entry Point**: ~$0.02/hr (smallest compute unit)
- 📦 **Storage**: Includes hypertables + regular tables
- 🛡️ **High Availability**: Optional (adds to cost)
- 💾 **Backups**: Continuous with PITR
- 🆓 **Free Tier**: ✅ Yes: free plan with 750 MB storage, database forks, and pgvector (read-only past the cap)

### Heroku Postgres

Heroku Postgres is one of the original and well-known managed PostgreSQL services, tightly integrated with the Heroku PaaS. The Essential plans now run on Amazon Aurora under the hood.

- 💰 **Model**: Tiered hourly/monthly billing
- 💵 **Entry Point**: $5/month (Essential-0, 1 GB storage); Essential-1 $9 (10 GB), Essential-2 $20 (32 GB)
- 📦 **Storage**: Included based on plan
- 🛡️ **High Availability**: Premium and above tiers only
- 💾 **Backups**: PG Backups (free); PITR on paid tiers
- 🆓 **Free Tier**: ❌ Removed in 2022

## Conclusion

The big three offer power and scale with complex pricing; specialized hosts offer free tiers and prices you can predict. Match the choice to workload, budget, and team expertise, and start on a free plan.

The specialized tier is also where the industry consolidation landed: Databricks bought Neon, Snowflake bought Crunchy Data (Crunchy Bridge still operates under Snowflake), Timescale renamed itself TigerData, and two new entrants (PlanetScale and Prisma) arrived with opposite bets: benchmark-topping hardware versus operations-based serverless. Postgres hosting has never had more competition, and prices have dropped accordingly.


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