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Langfuse VS PlanetScale

Compare Langfuse VS PlanetScale and see what are their differences

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Langfuse logo Langfuse

Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.

PlanetScale logo PlanetScale

The last database you'll ever need. Go from idea to IPO.
  • Langfuse Landing page
    Landing page //
    2023-08-20

Langfuse is an open-source LLM engineering platform designed to empower developers by providing insights into user interactions with their LLM applications. We offer tools that help developers understand usage patterns, diagnose issues, and improve application performance based on real user data. By integrating seamlessly into existing workflows, Langfuse streamlines the process of monitoring, debugging, and optimizing LLM applications. Our platform's robust documentation and active community support make it easy for developers to leverage Langfuse for enhancing their LLM projects efficiently. Whether you're troubleshooting interactions or iterating on new features, Langfuse is committed to simplifying your LLM development journey.

  • PlanetScale Landing page
    Landing page //
    2023-10-15

Langfuse features and specs

  • User-Friendly Interface
    Langfuse offers a clean and intuitive interface that makes it easy for users to navigate and use the platform efficiently, regardless of their technical skill level.
  • Integration Capabilities
    The platform provides a variety of APIs and integration options, allowing users to seamlessly connect Langfuse with other applications and services they use.
  • Comprehensive Analysis Tools
    Langfuse offers advanced analysis tools that help users to gain insights from their language data, improving decision-making and strategy development.

Possible disadvantages of Langfuse

  • Limited Language Support
    While Langfuse offers a range of language options, it may not support as many languages as some global companies require, potentially limiting its usability for diverse linguistic needs.
  • Pricing Model
    The pricing model of Langfuse might be considered expensive for small businesses or startups with a limited budget, which can make it less accessible to those users.
  • Learning Curve for Advanced Features
    While the basic features are easy to use, some advanced functionalities might have a steep learning curve, requiring more time and effort from users to fully leverage them.

PlanetScale features and specs

  • Scalability
    PlanetScale is designed for massive scale, leveraging the Vitess engine that powers YouTube. This makes it suitable for applications requiring high scalability for both read and write operations.
  • Global Distribution
    Offers multi-region deployment, ensuring low-latency access and higher availability, beneficial for globally distributed applications.
  • Serverless Approach
    The platform takes a serverless approach to database management, which means automatic scaling, less infrastructure to manage, and potential cost savings.
  • Branching and Sharding
    Supports database branching for isolated environments like development, testing, and production. It also supports sharding, which helps in distributing data across multiple nodes for better performance and reliability.
  • High Availability
    PlanetScale provides high availability with automated failover mechanisms, ensuring minimal downtime.
  • Strong Data Integrity
    Uses Vitess’s strong consistency models to ensure data integrity across distributed systems.
  • Developer Friendly
    Includes tools and features that make it easier for developers to manage, such as automatic migrations and simplified schema management.
  • Integration
    Can be easily integrated with various cloud service providers, making it flexible for different deployment environments.

Possible disadvantages of PlanetScale

  • Learning Curve
    The platform comes with a learning curve, especially for teams unfamiliar with Vitess or managing distributed databases.
  • Cost
    While it can offer cost savings in some areas, the pricing for large-scale deployments and multi-region setups can be relatively high.
  • Complexity of Advanced Features
    Advanced features like sharding and branching can add complexity to the database management operations.
  • Limited Ecosystem
    Compared to more established databases, the ecosystem and community around PlanetScale might be smaller, which can affect the availability of third-party tools and community support.
  • Vendor Lock-in
    Using a proprietary platform can lead to vendor lock-in, making it harder to switch to other database services if needed.
  • Early-stage Platform
    While promising, PlanetScale is relatively new compared to some other established database services, which means it may lack some maturity or have bugs that older platforms have ironed out.

Analysis of PlanetScale

Overall verdict

  • PlanetScale is a strong choice for developers and companies looking for a scalable, reliable, and developer-friendly database solution. Its foundations on proven technology and modern features make it a good option for various use cases.

Why this product is good

  • PlanetScale is known for its serverless database platform designed to be simple, scalable, and efficient. It is built on Vitess, which powers companies like YouTube and Slack, offering great performance at scale. PlanetScale provides features such as branching, sharding, and horizontal scaling without downtime, appealing to developers who need robust infrastructure. Additionally, it's designed to integrate seamlessly with developer workflows, providing tools like a CLI and a web console for easy database management.

Recommended for

  • Developers building cloud-native applications
  • Teams needing scalable databases with no downtime
  • Organizations requiring seamless integration with existing development workflows
  • Startups and tech companies looking for robust infrastructure

Langfuse videos

+ Add

Langfuse in two minutes

PlanetScale videos

+ Add

PlanetScale Beta - Release Radar

More videos:

  • Review - Using PlanetScale (MySQL) with Next.js and Vercel!
  • Review - PlanetScale and Prisma: building in the cloud - Nick Van Wiggeren | Prisma Day 2021

Category Popularity

0-100% (relative to Langfuse and PlanetScale)

Langfuse

PlanetScale

AI
100 100%
AI
0% 0
Databases
0 0%
Databases
100% 100
Help Desk
100 100%
Help Desk
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, PlanetScale should be more popular than Langfuse. It has been mentiond 103 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.

Langfuse mentions (11)

  • How to Learn AI from Scratch
    And then there’s evaluation and observability—two things you must consider when your AI app is live. You need to know if the model is doing its job, and why it failed when it didn’t. Tools like LangSmith and LangFuse can help with this, but you’ll need to spend time experimenting with what works best for your stack. - Source: dev.to / 2 days ago
  • Top Open Source Tools for LLM Observability in 2025
    Langfuse is another open-source platform for debugging, analyzing, and iterating on language model applications. It offers tracing, evaluation, and prompt management. While Langfuse offers many capabilities, some (like the Prompt Playground and automated evaluation) are only available in the paid tier for self-hosted users. - Source: dev.to / about 2 months ago
  • A Curated List of shadcn/ui-like React Component Collections
    It is reportedly used on websites like Langfuse and Million.dev. - Source: dev.to / 3 months ago
  • 10 Ways AI Can Speed Up your Mobile App Development
    LangFuse is a monitoring and debugging platform for LLM-powered applications. It provides insights into token usage and costs. It can also analyze latency, and the performance of AI interactions. The platform allows debug prompts, and analyzes how they behave in production. - Source: dev.to / 4 months ago
  • Building effective AI agents with Trigger.dev
    You'll notice there's a lot of prompts in these examples. As you develop your prompts, you'll likely want to iterate and refine them over time. I recommend using tools like Langfuse or Langsmith for prompt management and metrics, making it easier to track performance and make improvements. - Source: dev.to / 4 months ago
View more

PlanetScale mentions (103)

  • Serverless Backend: A New Era for Developers
    Database: It helps storing, managing and retriving data in a structured manner (e.g. NeonDB, PlanetScale, DynamoDB). - Source: dev.to / 23 days ago
  • Ask HN: What's the best free database provider out there?
    Https://planetscale.com/ would be a good bet. - Source: Hacker News / about 2 months ago
  • List of 45 databases in the world
    PlanetScale — Serverless database platform built on MySQL and Vitess. - Source: dev.to / 11 months ago
  • Good alternatives to Heroku
    Planetscale - Directly from their website: "PlanetScale is a MySQL-compatible serverless database that brings you scale, performance, and reliability — without sacrificing developer experience.". - Source: dev.to / about 1 year ago
  • MySQL or Top Alternatives in 2024 and How to Choose One
    PlanetScale is a MySQL-compatible database that offers scale, performance, and reliability, and many more powerful database features. Leveraging cloud-native architecture, PlanetScale enables organizations to deploy, manage, and scale MySQL-compatible databases with ease. With features such as automatic sharding, distributed transactions, and high availability, PlanetScale enables businesses to handle large... - Source: dev.to / about 1 year ago
View more

What are some alternatives?

When comparing Langfuse and PlanetScale, you can also consider the following products

LangSmith - Build and deploy LLM applications with confidence

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Datumo Eval - Discover Datumo Eval, the cutting-edge LLM evaluation platform from Datumo, designed to optimize AI model accuracy, reliability, and performance through advanced evaluation methodologies.

Supabase - An open source Firebase alternative

Braintrust - Braintrust connects companies with top technical talent to complete strategic projects and drive innovation. Our AI Recruiter can 100x your recruiting power.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

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