Overview
Trusted by millions of developers, engineers, architects, and security professionals at thousands of enterprises, including the majority of the Fortune 100, the cloud-native JFrog Software Supply Chain Platform is the single source of truth for all software packages, data, and ML models utilized and generated in the development process.
The JFrog Platform on AWS manages all software inputs and outputs, providing organizations with complete visibility across their supply chain. This flexible, massively scalable, and hybrid platform helps improve developer efficiency by reducing wait times from builds to security scans. It allows organizations to take to the clouds with agility, leveraging both managed and self-managed instances. Critically, it enables teams to manage application risk end-to-end by applying evidence-based policies across the SDLC. Finally, the JFrog Platform helps accelerate AI/ML pipelines by treating models like a package, simplifying AI development and ensuring the success of initiatives.
Contact JFrog at cloud@jfrog.com for private offers on annual subscriptions, or visit <www.jfrog.com/pricing > for more information.
The JFrog Platform is often leveraged to consolidate enterprise DevSecOps solutions for companies utilizing GitLab, Sonatype, Snyk, or Veracode, among other solutions. Key capabilities include:
- Universal artifact management with JFrog Artifactory
- Modern, holistic SCA with JFrog Xray
- Contextual analysis of vulnerabilities with JFrog Advanced Security
- Early blocking of malicious open source packages with JFrog Curation
- Application risk governance with JFrog AppTrust
- Control and govern AI/ML development with JFrog ML
- Simplify model discovery and access with JFrog AI Catalog
- AI-assisted remediation with Agentic Software Supply Chain Security
- Real-time Kubernetes security monitoring with JFrog Runtime
- Speed up secure software consumption with JFrog Distribution
- IoT device management with JFrog Connect
- Includes 24x7 Support and in-region 99.99% uptime SLA, plus an assigned support resource with regular touch points
Highlights
- 50+ natively supported package and file types, including ML models and generic repositories.
- Comprehensive, enterprise-grade security solution integrated across the entire SDLC, eliminating tool sprawl and alert fatigue. Go beyond scanning with contextual analysis and vulnerability prioritization, anti-tampering mechanisms, and signed provenance, ensuring best practices and compliance.
- Fast, secure distribution of verified, multi-repository release bundles to sync large-scale geo-distributed teams and accelerate deployments to any target: SaaS, self-managed, or connected devices.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Customer reviews
Centralized Artifacts, Smooth Deployments, and Reliable CI/CD with JFrog
A feature I rely on often is Artifactory’s support for multiple package formats. Whether we’re working with Docker images, Maven, npm, or other package types, it all gets handled in a consistent way. Integrating it with our CI/CD pipeline was also straightforward, and once it was connected, it automated a lot of the manual steps we used to do ourselves. As a result, we’ve saved time and seen fewer deployment mistakes.
From a UI standpoint, the interface feels clean and easy to navigate. Finding artifacts, checking versions, and managing repositories doesn’t require digging through complicated menus, which is especially useful when we’re troubleshooting build issues.
Performance has been strong as well. Uploads and downloads are fast, and we’ve rarely run into downtime or delays, even when multiple developers are working at the same time. That level of reliability gives us more confidence during releases.
I’ve also appreciated the documentation and onboarding experience. There are plenty of guides and examples, so getting started wasn’t difficult, and when we’ve needed support, the responses have been helpful and knowledgeable.
Another feature that has added value is JFrog’s AI-powered security and intelligence capabilities. The platform helps surface vulnerabilities and provides useful insights into dependencies, making it easier to identify potential risks early in the development lifecycle instead of discovering them later during deployment.
One unexpected benefit has been improved traceability. Being able to quickly see where artifacts came from, which versions were deployed, and how everything ties together has made debugging and auditing much easier than it used to be.
Overall, JFrog has streamlined our development workflow, improved collaboration across the team, and reduced the time we spend managing artifacts manually. While it’s a premium product, the time savings, automation, reliability, and intelligent security insights have made it a worthwhile investment for our team.
The pricing can also be high for smaller teams, and the AI-powered features, while useful, could provide more proactive recommendations and automation. Improving onboarding, simplifying advanced workflows, and enhancing the AI capabilities would make the overall experience even better.
It has also improved collaboration across our development team, made it easier to track artifact versions, and helped identify security issues earlier in the development lifecycle. Overall, it's saved us time, reduced deployment errors, and made our release process much more efficient.