Software Alternatives, Accelerators & Startups

Azimutt VS Databricks

Compare Azimutt VS Databricks and see what are their differences

Azimutt logo Azimutt

Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • Azimutt Landing page
    Landing page //
    2023-08-14

If you are looking to explore and understand your database (relational or document), Azimutt is the tool you need. It's the first entity relationship diagram built to handle big database schema (up to 1000 tables) with dedicated features: search, find path and even schema analysis to keep it consistent.

  • Databricks Landing page
    Landing page //
    2023-09-14

Azimutt

$ Details
freemium โ‚ฌ7.0 / Monthly (Solo)
Platforms
Web Browser
Release Date
2021 November

Azimutt features and specs

  • User-Friendly Interface
    Azimutt offers a clean and intuitive user interface, making it easy to navigate and use for both technical and non-technical users.
  • Visualization of Database Schema
    The tool provides effective visualization options for database schemas, enabling users to better understand and manage complex databases.
  • Collaborative Features
    Azimutt supports collaboration, allowing multiple users to work together on the same database project, enhancing teamwork and productivity.
  • No Installation Required
    As a web-based application, it does not require any installation or setup, making it convenient to access from any device with internet connectivity.

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.

Azimutt videos

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Databricks videos

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 Azimutt and Databricks)
Database Tools
21 21%
79% 79
Data Dashboard
0 0%
100% 100
Developer Tools
100 100%
0% 0
Big Data Analytics
0 0%
100% 100

Questions & Answers

As answered by people managing Azimutt and Databricks.

How would you describe the primary audience of your product?

Azimutt's answer

Azimutt is mainly targeted at developers working with databases, allowing them to easily explore and understand them by either importing the schema or connecting to a live instance.

As it's quite easy to use, we have seen other profile such as product owners, engineering managers and even CFOs using it to better understand the product they build or extract meaningful data on their own ^^

What's the story behind your product?

Azimutt's answer

Early 2021 I joined Doctolib, a health startup very successful in France, and discovered their big Ruby on Rails monolith backed by a large PostgreSQL database with more than 700 business tables (more then 1300 in total). As an architect I worked with several teams and needed to understand their models but neither Ruby, Rails or the structure.sql were very helpful for such a big app. So I looked for a tool but they all failed with such a large database, so after a few month and tens of tools tested, I decided to build my own: Azimutt. Now it has evolved a lot and we are still very active to enable new usages every months. I believe it's a solid product and quite unique โค๏ธ

Which are the primary technologies used for building your product?

Azimutt's answer

From development languages, Azimutt is built with Elm/TypeScript for the frontend, Elixir/Phoenix for the backend and PostgreSQL/S3 as storage.

What makes your product unique?

Azimutt's answer

It's the only ERD able to handle databases with many tables (>1000) nicely thanks to unique features:

  • layouts to see only the relevant tables (not all are useful for everyone)
  • smart search everywhere

It's also very unique in the sense it's made to explore and understand real world databases, from development to production with larges features:

  • database design with an intuitive DSL
  • database documentation, on any table, column or layout (markdown text and tags)
  • database analysis to make sure best practices are in place
  • innovative data exploration

Thousands of developers already love it, give it a try, we have several samples you can try right away!

Why should a person choose your product over its competitors?

Azimutt's answer

Azimutt is the all-in-one app to explore real world databases. If you look for very specialized features some competitors may be more suited, but if you want a versatile app to explore and understand your database, we believe no competitor come close to us.

  • if you have more than 50 tables, there is no match, you should be amazed by Azimutt features built for large databases
  • if you want to mix data exploration and schema exploration, it's also very unique
  • if you care about open source, visit our GitHub

Who are some of the biggest customers of your product?

Azimutt's answer

Azimutt is used at Doctolib (3000 people company) and some other french scale ups I can't disclose yet.

User comments

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Reviews

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

Azimutt Reviews

We have no reviews of Azimutt yet.
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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...
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.

Social recommendations and mentions

Based on our record, Databricks should be more popular than Azimutt. It has been mentiond 18 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.

Azimutt mentions (4)

  • SQLitebrowser: First update in three years (July 2024)
    Not mine but someone showed me this : https://azimutt.app/. - Source: Hacker News / almost 2 years ago
  • SQLite Schema Diagram Generator
    I just want to get a basic overview quickly. An old colleague of mine created an interactive web app that does this. We use it internally and I find it super useful. Supports SQLite, among others: https://azimutt.app/. - Source: Hacker News / over 2 years ago
  • One Month Post Product Hunt Launch: An Honest Review of Azimutt.app launch
    Hello Dev.to community, I'm Sam, a proud part of a dedicated trio that built Azimutt.app. - Source: dev.to / about 3 years ago
  • pgAdmin Generate ERD stuck on load
    A couple of options here: - From a database. Generate ERD by connecting to your database directly. I've used this as a quick way to generate a diagram from my local or even QA DB (not prod DB for obvious security reasons). - From a schema dump file. Take a pg dump and then generate an ERD from the dump file. There are ERD tools like dbdaddy.dev and azimutt.app that support these options. Source: over 3 years ago

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 / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™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 3 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 / almost 4 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 / about 4 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 4 years ago
View more

What are some alternatives?

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

DrawSQL - Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.

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

DBDiagram.io - Free database diagrams designer for analysts & developers ๐Ÿ› 

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.

TablePlus - Easily edit database data and structure

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.