Software Alternatives, Accelerators & Startups
Register | Login

PlanetScale VS ArangoDB

Compare PlanetScale VS ArangoDB and see what are their differences

ScreenshotMAX
The all-in-one Screenshot API for developers: capture websites, generate PDFs, record videos, and automate it all with powerful, scalable infrastructure. No browser setup, no hassle. Just clean results, fast. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PlanetScale logo PlanetScale

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

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • PlanetScale Landing page
    Landing page //
    2023-10-15
  • ArangoDB Landing page
    Landing page //
    2023-01-20

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.

ArangoDB features and specs

  • Graph DB

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

Analysis of ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

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

ArangoDB videos

+ Add

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to PlanetScale and ArangoDB)

PlanetScale

ArangoDB

Databases
36 36%
Databases
64% 64
Developer Tools
100 100%
Developer Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100
Vitess
100 100%
Vitess
0% 0

User comments

Share your experience with using PlanetScale and ArangoDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare PlanetScale and ArangoDB

PlanetScale Reviews

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

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).
Source: www.arangodb.com

Social recommendations and mentions

Based on our record, PlanetScale seems to be a lot more popular than ArangoDB. While we know about 104 links to PlanetScale, we've tracked only 6 mentions of ArangoDB. 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.

PlanetScale mentions (104)

  • 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. Both our Postgres and Vitess databases deliver exceptional speed and reliability, with Vitess adding ultra scalability through horizontal sharding. I know exactly what they do. Zero... - Source: Hacker News / 12 days 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 / 4 months ago
  • Ask HN: What's the best free database provider out there?
    Https://planetscale.com/ would be a good bet. - Source: Hacker News / 5 months ago
  • List of 45 databases in the world
    PlanetScale — Serverless database platform built on MySQL and Vitess. - Source: dev.to / about 1 year 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 / over 1 year ago
View more

ArangoDB mentions (6)

View more

What are some alternatives?

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

Datahike - A durable datalog database adaptable for distribution.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

Loading...