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Memocore VS PlanetScale

Compare Memocore VS PlanetScale and see what are their differences

Memocore

Shared AI memory for you and your team. Save notes, decisions and docs once — every teammate's Claude, ChatGPT or Cursor remembers them. Works over MCP or the API inside your own product.

Rating
0 reviews
Pricing
Freemium $6 / Monthly (Pro)
Alternatives Is it good?
PlanetScale

The last database you'll ever need. Go from idea to IPO.

Rating
0 reviews
Pricing
Open source Freemium Free trial $29 / Monthly (250GB)
Alternatives Is it good?
Castmint
Type one line. Get a finished short. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, PlanetScale seems to be more popular. It has been mentioned 105 times since March 2021.

social mentions
0 vs 105
Team Collaboration popularity
100% vs 0%
alternatives listed
5 vs 217

Base details

Website, pricing, platforms and company facts side by side.

Memocore
PlanetScale
Website memocore.ai planetscale.com
Pricing
Freemium $6 / Monthly (Pro) Official pricing
Open source Freemium Free trial $29 / Monthly (250GB) Official pricing
Platforms
Web REST API MCP
—
Listed in
AI Memory Team Collaboration Knowledge Base AI AI Tools Developer Tools Productivity +4
Vitess Databases Relational Databases Cloud Storage APIs DevOps Tools MySQL Tools MySQL GUI +5

About Memocore and PlanetScale

In their own words, as submitted to SaaSHub.

Memocore
PlanetScale

Every AI chat starts from zero. You re-explain your project again and again, and your teammates' AI knows nothing of what you've already decided. Memocore is shared memory for you and your team. Notes, decisions, conventions, product docs — saved once, then read and updated by every teammate's...

Read more about Memocore

No description of PlanetScale yet.

Features and specs

What each product offers, as listed by its team.

Memocore 7 features
PlanetScale 8 features
  • MCP Integration
    Works in Claude, ChatGPT, Cursor, VS Code, Claude Code and any MCP client
  • Team projects
    Shared memory for the whole team, each member sees only allowed projects
  • Change history
    Track who changed what and when
  • REST API
    Power your own chatbots and products with the same memory
  • Semantic search
    AI finds relevant memos by meaning, not just keywords
  • File Attachments
    Attach files to memos
  • Sharing
    Public links and read-only access by email invite
  • 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

  • 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

An editorial look at what each product does well and who it suits.

Memocore
PlanetScale

No analysis of Memocore yet.

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

Videos

Walkthroughs and reviews on video.

Memocore 0 videos + Add
PlanetScale 3 videos + Add

No Memocore videos yet. You could help us improve this page by suggesting one.

PlanetScale Beta - Release Radar

More videos

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Memocore
PlanetScale
100% 100%
Team Collaboration
0% 0%
0% 0%
Databases
100% 100%
100% 100%
Knowledge Base
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing Memocore and PlanetScale.

What makes your product unique?

Memocore's answer

Memocore is shared memory for teams, not just for one agent. A teammate saves a note, decision or doc once, and every colleague's AI (Claude, ChatGPT, Cursor, VS Code or any MCP client) can read and update it. Projects have access control per member and a full history of who changed what. The same memory can power your own chatbots via the REST API.

Why should a person choose your product over its competitors?

Memocore's answer

Most memory tools (Mem0, Zep, Supermemory) are SDKs for developers building agents. Memocore works out of the box: add one MCP endpoint to the AI client you already use, create a project, invite your team. No code required. And when you do need it, there's an API for your own product

How would you describe the primary audience of your product?

Memocore's answer

Small and mid-sized teams that work with AI every day: developers, product teams, founders, HR and support. Anyone tired of re-explaining the same context to AI, or of documentation that goes stale.

What's the story behind your product?

Memocore's answer

I was tired of AI forgetting everything, and of team docs going stale: technical notes in the repo, business notes in Google Docs, never up to date. So I built a memory that AI agents maintain themselves. Agents save decisions and architecture as they work and update them on every commit, and anyone on the team can pull the answer in seconds, even from their phone. I use it daily myself, for everything from research to grocery lists.

User comments

Share your experience with using Memocore and PlanetScale. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Memocore no reviews yet
PlanetScale no reviews yet

We have no reviews of Memocore yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Memocore 0 mentions
PlanetScale 105 mentions

Tracking Memocore since Sep 2026.

  • Ask HN: Who is hiring? (June 2026)
    PlanetScale | https://planetscale.com/ | Software Engineer - PlanetScale Postgres | Remote (AMER, LATAM & EMEA) | Base range: $120,000 - $290,000 USD I'm the hiring manager for this position. Come build the best Postgres product on the... - Source: Hacker News / 4 months ago
  • PlanetScale announces Postgres is GA
    i'll take the opposite side. I was very impressed with their website. The very first line: > The world’s fastest and most scalable cloud databases the second line: > PlanetScale brings you the fastest databases available in the cloud.... - Source: Hacker News / about 1 year ago
  • 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 / over 1 year ago

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Alternatives to Memocore and PlanetScale

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