Based on our record, Google BigQuery should be more popular than GitBook. It has been mentiond 42 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
TL,DR: LaunchDarkly is great for B2C companies. Bucket is for B2B SaaS products, like GitBook — a modern, AI-integrated documentation platform. - Source: dev.to / 4 months ago
Addison Schultz, Developer Relations Lead at GitBook, puts it simply:. - Source: dev.to / 4 months ago
Good question that led to insightful responses. I would like to bring GitBook (https://gitbook.com) too to the comparison notes (no affiliation). They, too, focus on the collaborative, 'similar-to-git-workflow', and versioned approach towards documentation. Happy to see variety in the 'docs' tools area, and really appreciate it being FOSS. Looking forward to trying out Kalmia on some project soon. - Source: Hacker News / 9 months ago
You can have both a landing page (e.g.: www.your-project.dev) and a documentation website (e.g.: docs.your-project.dev). For creating documentation website GitBook is better fit than Gitlanding. GitBook is free for open source Projects (you just need to issue a request). - Source: dev.to / about 3 years ago
GitBook is a collaborative documentation tool that allows anyone to document anything—such as products and APIs—and share knowledge through a user-friendly online platform. According to GitBook, “GitBook is a flexible platform for all kinds of content and collaboration.” It provides a single unified workspace for different users to create, manage and share content without using multiple tools. For example:. - Source: dev.to / about 4 years ago
This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / about 2 months ago
Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 2 months ago
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 2 months ago
BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 7 months ago
Docusaurus - Easy to maintain open source documentation websites
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.What is Apache Spark?
MkDocs - Project documentation with Markdown.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
ReadMe - A collaborative developer hub for your API or code.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.