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Supabase VS Databricks

Compare Supabase VS Databricks and see what are their differences

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Supabase logo Supabase

An open source Firebase alternative

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Supabase Landing page
    Landing page //
    2023-05-27
  • Databricks Landing page
    Landing page //
    2023-09-14

Supabase features and specs

  • Real-time capabilities
    Supabase offers real-time database features that allow you to subscribe to database changes and sync data with your frontend seamlessly.
  • PostgreSQL foundation
    Supabase is built on PostgreSQL, a robust, mature, and highly extensible SQL database, providing strong data integrity and reliability.
  • Open-source
    Supabase is open-source, which means you can inspect, modify, and contribute to the source code. This fosters community engagement and transparency.
  • Ease of use
    Supabase provides an intuitive dashboard and auto-generated APIs, making it easy for developers to manage databases without extensive backend knowledge.
  • Authentication and Authorization
    Supabase includes pre-built authentication and authorization modules, supporting various sign-in methods like email, OAuth, and more, simplifying user management.
  • Scalability
    Supabase is designed to scale with your application, offering plans that can handle from small to large-scale traffic and data operations.

Possible disadvantages of Supabase

  • New and evolving
    As a relatively new platform, Supabase is still evolving, which means it might lack some features found in more mature solutions and could have occasional bugs or stability issues.
  • Limited integration
    Currently, Supabase has fewer third-party integrations compared to other established backend-as-a-service (BaaS) providers, which might limit its utility in diverse tech stacks.
  • Learning curve
    Despite its user-friendly interface, there could be a learning curve for those unfamiliar with PostgreSQL or real-time database concepts.
  • Pricing for advanced features
    While Supabase offers a free tier, advanced features, and higher usage plans come with a cost. This might be limiting for startups or hobby projects with tight budgets.
  • Limited geographic presence
    Supabase's infrastructure might have limited geographic data centers compared to larger cloud providers, potentially affecting latency and performance for users in certain regions.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

Supabase videos

+ Add

Basic demo

More videos:

  • Review - Supabase in 100 Seconds by Fireship

Databricks videos

+ Add

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to Supabase and Databricks)

Supabase

Databricks

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Realtime Backend / API
100 100%
Realtime Backend / API
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Supabase and Databricks. For example, how are they different and which one is better?
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Reviews

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

Supabase Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
Supabase makes it incredibly easy to migrate from Firebase. Its data structure and APIs are designed to feel familiar, so you can switch without a major learning curve. Plus, the open-source nature means you have complete control over your code and data.
Source: genezio.com
Top 7 Firebase Alternatives for App Development in 2024
Community Support and Longevity: Investigate the size and activity of the platform's community. A larger, more active community can provide better support and resources. Platforms like Parse and Supabase have strong community support.
Source: signoz.io
5 Best Vercel Alternatives for Next.js & App Router
Supabase distinguishes itself through its focus on data and community-driven development. Self-hosting capabilities allow you to deploy Supabase's suite of products within your own infrastructure. This maintains data ownership while still leveraging Supabase's tools.
Source: il.ly
Best Serverless Backend Tools of 2023: Pros & Cons, Features & Code Examples
Create an account, a project, and a database. Unlike a NoSQL database like Firebase’s, you need to have a structure ready to be able to manipulate data. But once this step is done―and you’ll have ready-to-use templates to help speed up this part―you can call Supabase like so:
Source: www.rowy.io
2023 Firebase Alternatives: Top 10 Open-Source & Free
Supabase is another trusted platform in our list that calls itself an open-source alternative to Firebase. You can also name it one of the newest cloud service providers similar to Firebase because it launched in 2020. Indeed, with great scalability and documentation support, Supabase could be an ideal option.
Source: digitalcruch.com

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Source: www.shipyardapp.com
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.
Source: blog.bismart.com

Social recommendations and mentions

Based on our record, Supabase seems to be a lot more popular than Databricks. While we know about 501 links to Supabase, we've tracked only 18 mentions of Databricks. 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.

Supabase mentions (501)

  • Why devs are quitting aws and what they’re choosing instead
    Platforms like Railway, Render, Fly.io, Vercel, Supabase, and Cloudflare are leading the charge with a shared philosophy:. - Source: dev.to / 11 days ago
  • I analyzed how Supabase and Laravel launched. Here's what I learned.
    Supabase is an open-source alternative to Firebase. They turned fast shipping into a format: launch weeks — announcing something new every day. They were first and initiated a movement. Picture this: according to launchweek.dev, there were 126 launch weeks run by 94 different companies in 2024. - Source: dev.to / about 2 months ago
  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 26 days ago
  • How to Host a Scalable Full-Stack App for Free Using Cloudflare Pages, Workers, and Supabase
    Create an account at Supabase and create a new project. You’ll get:. - Source: dev.to / 28 days ago
  • Supabase WordPress Integration - SupaWP Plugin
    Supabase provides a robust authentication system supporting email/password, OAuth providers, and magic links. Integrating this with WordPress allows you to leverage Supabase’s secure and scalable auth backend to manage user registration and login seamlessly. - Source: dev.to / about 1 month ago
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 8 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / over 2 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / almost 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing Supabase and Databricks, you can also consider the following products

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Next.js - A small framework for server-rendered universal JavaScript apps

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.

AppWrite - Appwrite provides web and mobile developers with a set of easy-to-use and integrate REST APIs to manage their core backend needs.

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.

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