Contentful
Contentful is a flexible and future-friendly content platform that helps editors to manage and developers to serve content into mobile or web applications.
- 27 updates · 30dTop focus: Event★ 4.2 G2
Headless CMS Comparison
Contentful
Sanity
Tracking Contentful vs Sanity
155 updates from Contentful and Sanity in the last 30 days. We read them all so you don't have to.
★★★★★4.2+ on G2✓ GDPR Compliant
Sanity
The Sanity Content Operating System is a fully customizable all-code platform for all your content-driven apps. Unlike a CMS, Sanity treats content as data, enabling your business to operate at scale. The platform offers a unified interface where teams maintain their own workflows while easily synchronizing content, integrating processes, and automating tasks across systems. With components including Content Lake, Live CDN, customizable Studio, App SDK, Functions, AI capabilities, Media Library, Canvas, and a Dashboard with Insights, Sanity empowers businesses to build, scale, and ship all the content applications they need.
- 128 updates · 30dTop focus: Support★ 4.7 G2
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150,000+ companies tracked · 137M URLs counted · Tracking since 2025 · GDPR compliant · EU infrastructure
TL;DR
Contentful has shipped 27 updates in the last 30 days, focused on event. Contentful has been quieter than Sanity, which shipped 128. Both rank ★ 4.2+ on G2.
Activity Over Time
Weekly updates per vendor, last 12 weeks.
Where They're Investing
Page-type activity over the last 30 days. Brighter cells = more updates.
ContentfulSanitySupport
Other
Blog
Product
Event
Case Study
Changelog
Last 14 days·AI summary
Recent activity summary for Contentful and Sanity
Sanity focused heavily on product development and technical documentation, shipping several beta features including Workflows for automated content stages, Knowledge Bases for AI context, and Content Variants for personalization. Their activity also included extensive educational resources on topics like prompt engineering, content federation, and real-time collaborative editing. In contrast, Contentful’s activity was primarily centered on industry presence and brand engagement. Their updates focused on high-profile speaking engagements at Dreamforce and The Atlantic Festival, hosting experience tours in Nashville and Cologne, and participating in community networking events. While Sanity prioritized shipping new AI-driven governance and orchestration tools, Contentful prioritized demonstrating its strategic positioning within the agentic marketing ecosystem.
Recent Activity
Last updates we detected for each vendor.
Contentful
5 updates- ChangelogLinkedIn Post
Contentful released its September roadmap updates, featuring a new Optimization Agent for Slack and a new integration with Claude to improve content workflows.
- EventLinkedIn Post
Contentful shared insights from Dreamforce regarding the integration of AI, personalization, and scalable content strategies. The company highlighted how brands can use its platform to distribute trusted content across all digital touchpoin
- EventLinkedIn Post
Contentful shared its upcoming schedule and speaking engagements for Dreamforce '26, highlighting its focus on the agentic era of content management.
- OtherLinkedIn Post
Contentful reshared Palmata's post regarding how AI summaries are changing user search behavior and how brands should adapt. The post also promotes an upcoming session at Dreamforce involving Contentful and Palmata.
- EventLinkedIn Post
Contentful is partnering with Salesforce Marketing Cloud to showcase how agentic marketing drives real-time customer engagement and growth at the upcoming Dreamforce event.
Sanity
5 updates- SupportWhat is API versioning? Strategies and best practices
Sanity explains the necessity of API versioning to prevent breaking client applications during updates. The article details various versioning strategies, including URI, query string, header-based, and date-based approaches, while highlight
- BlogWhat is content provenance? Definition and how it works
Sanity explains the definition and mechanics of content provenance, distinguishing between simple labels and cryptographically signed history. The article discusses how granular, field-level tracking in a Content Lake is essential for verif
- SupportWhat is machine-readable content? Glossary
Sanity explains the fundamental differences between human-readable and machine-readable content. The article details how structured data modeling enables reliable parsing for software and AI agents by using explicit labels and types.
- SupportWhat is a semantic layer? Definition and how it works
Sanity explains how a semantic layer translates raw data and content into meaningful business concepts. The article details how this layer ensures consistency across tools and enables AI systems to resolve terms accurately.
- SupportWhat is a large language model (LLM)?
Sanity explains the mechanics of Large Language Models (LLMs), including training stages and the transformer architecture. The article also details how Retrieval-Augmented Generation (RAG) provides models with current facts to overcome know
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