As the last day of 2024 unfolds, I can’t help but feel immense gratitude and pride reflecting on Wren AI’s journey this year. The momentum we’ve built — both as an open-source project and as a commercial service — has been nothing short of remarkable, and I’d like to share some highlights and extend our heartfelt thanks to everyone who’s been part of the story.
Back in April, we took a significant leap by open-sourcing Wren AI. Since then, the community has rallied around the project in ways we never anticipated. Here are a few achievements we’re celebrating:
We surpassed a major milestone on GitHub, standing proud among top Text-to-SQL libraries.
We welcomed more than 30 developers, data enthusiasts, and AI experts who have contributed code, documentation, and insightful feedback.
Over the course of this year, we added compatibility with a wide range of data sources, including BigQuery, DuckDB, PostgreSQL, JSON, Parquet, CSV, MySQL, MSSQL, Trino, and ClickHouse, making Wren AI more accessible and versatile than ever.
The open-source community has helped Wren AI become one of the most widely used Text-to-SQL solutions in the field. Your collaborative spirit, bug reports, feature requests, and pull requests have been invaluable in shaping our roadmap.
In October, we introduced our commercial offering, Wren AI Cloud, making it easier for enterprises and analytics teams to harness the power of Text-to-SQL without needing to manage their own infrastructure. Here’s a look at some of the features we rolled out:
A standout addition this year has been Boilerplates, which are pre-defined templates that streamline your data analysis process. Boilerplates have proven incredibly useful for anyone looking to get up and running with Wren AI quickly — especially when working with popular SaaS tools like HubSpot and Google Analytics 4. We’ll soon expand support to include WooCommerce, Google Ads, Facebook Ads, Instagram Ads, Stripe, and more so your data workflows can be even more seamless.
We listened to your requests for more intuitive data interpretation. In response, we introduced AI-driven charting and visualization features — helping you transform raw data into clear, actionable charts with just a few clicks or simple prompts.
Managing multiple data projects across various teams can be challenging. That’s why we introduced Project Management and User Management features in Wren AI Cloud, giving you better control and visibility over who is working on what and how they’re interacting with sensitive data.
Security and compliance go hand in hand with accessibility. We rolled out Advanced Data Controls to help organizations govern data more effectively. Role-based permissions, audit logs, and dataset-level access controls are just a few ways we’re enabling teams and companies to stay both efficient and compliant.
We’re entering the new year with ambitious goals. Here’s a sneak peek at what’s on our roadmap:
We plan to integrate automation tools to streamline data workflows and analysis. This will allow users to automate repetitive tasks, connect Wren AI with hundreds of other apps, and build custom workflows without writing code.
Our team will continue to refine our AI models to handle more complex queries, deeper insights, and richer data relationships — turning raw data into meaningful conclusions.
Looking beyond insights, we want Wren AI to act on those insights, enabling automated decision-making and self-improving pipelines based on the information the AI uncovers.
One of our most requested features for 2025 is Custom Dashboards and Reporting. We’re building tools that will allow companies to save and organize AI-generated visuals directly into customizable dashboards for easy reference and easily share dashboards across teams or export them for presentations and deeper analysis.
This feature will empower businesses to seamlessly integrate AI insights into their reporting workflows, ensuring data-driven decisions are always at their fingertips.
Every star on GitHub, every user sign-up, every thoughtful comment — each of these moments reaffirms our mission: to make data analysis simpler, more collaborative, and more impactful. We couldn’t have accomplished any of this without the ongoing support, creativity, and feedback from you, our community and customers.
As we bid farewell to 2024, we are tremendously excited about the next chapter of Wren AI. From all of us here, thank you for being a part of this journey. Here’s to a new year filled with continued innovation, growth, and breakthroughs in data-driven insights.
Cheers to 2025! We can’t wait to show you what’s next.
🔹 Open Source Wren AI: Explore our GitHub repository at https://github.com/Canner/WrenAI to understand the codebase, contribute, or deploy in your environment.
🔹 Wren AI Cloud: For a fully managed, enterprise-grade solution, head to https://getwren.ai/ and discover how Wren AI Cloud can transform your data operations.
👉 Join us in shaping the future of data analysis! Whether you’re contributing to the open-source project or adopting Wren AI Cloud, your journey toward unlocking faster insights starts today.
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