Best of GraphQLDecember 2025

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    Article
    Avatar of datadogDatadog·16w

    How microservice architectures have shaped the usage of database technologies

    Microservices have transformed database usage from monolithic, single-database architectures to distributed systems where organizations run multiple database technologies simultaneously. Analysis of 2.5 million services shows over half of organizations now use both SQL and NoSQL databases side by side, with many adopting 3+ different database technologies. This shift enables teams to choose the right tool for each service but introduces new challenges: fragmented schemas require data integration layers like GraphQL, analytics demands OLAP systems like Snowflake, and service communication relies heavily on message queues like Kafka and RabbitMQ for asynchronous decoupling.

  2. 2
    Article
    Avatar of PrismicPrismic·18w

    Best Headless CMS for Developers in 2026

    Headless CMSs offer developers flexibility, control, and scalability by separating backend from frontend. The top five platforms in 2026 are Prismic (visual page building with AI tools), Sanity (structured content with automation), Contentful (enterprise digital experience platform), Strapi (open-source with plugin ecosystem), and Hygraph (GraphQL-native). Key selection factors include pricing models, API type (REST vs GraphQL), integration ecosystem, and team workflow needs. Modern platforms increasingly include AI features for content generation, translation, and optimization.

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    Article
    Avatar of wundergraphWunderGraph·18w

    TypeScript Plugin Support for Cosmo Connect

    Cosmo Connect now supports TypeScript router plugins, enabling developers to extend GraphQL federation routers with custom logic written in TypeScript without deploying separate services. Previously limited to Go, this feature makes plugin development accessible to TypeScript-focused teams. Plugins run inside the router, are published through Cosmo Cloud, and participate in schema checks like subgraphs. The workflow involves initializing a plugin via CLI, generating protobuf definitions from GraphQL schemas, implementing RPC handlers in TypeScript, building the plugin artifact, and publishing to Cosmo Cloud where routers automatically pull updates. This approach is particularly useful for wrapping legacy REST APIs or exposing small pieces of logic without the operational overhead of deploying full subgraph services.