Software Alternatives, Accelerators & Startups

Minio VS Databricks

Compare Minio VS Databricks and see what are their differences

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.

Minio logo Minio

Minio is an open-source minimal cloud storage server.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Minio Landing page
    Landing page //
    2023-09-25
  • Databricks Landing page
    Landing page //
    2023-09-14

Minio features and specs

  • High Performance
    Minio is designed for high-performance object storage, providing fast read and write speeds and scalability for large-scale storage needs.
  • Open Source
    Being an open-source platform, Minio allows users to review, modify, and distribute its code, fostering transparency and collaboration within the community.
  • S3 Compatibility
    Minio offers S3 API compatibility, making it easier to integrate with existing applications and tools that are already designed to work with AWS S3.
  • Lightweight
    Minio is extremely lightweight and can be deployed on minimal hardware, making it an efficient option for edge computing and low-resource environments.
  • Multi-Cloud Support
    Minio supports a variety of cloud environments, allowing for flexibility and ease of data distribution across multiple cloud providers.
  • Strong Security
    Minio offers strong security features such as automatic encryption, Identity and Access Management (IAM), and compliance with enterprise-level security standards.

Possible disadvantages of Minio

  • Learning Curve
    For beginners, initial setup and configuration can be complex, requiring a certain level of technical expertise to deploy and manage effectively.
  • Limited Ecosystem
    Compared to AWS S3, Minio has a relatively smaller ecosystem of integrated tools and services, which could limit functionality or require additional development resources.
  • Community Support
    While there is a growing community around Minio, the support channels and community contributions are not as extensive as those for more established platforms like AWS.
  • Feature Parity
    Although Minio offers many similar features to AWS S3, there are still some advanced features and services in AWS that are not available in Minio.

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.

Minio videos

This is MinIO

More videos:

  • Review - A Review of MinIO's Performance Benchmarks
  • Review - MinIO Hardware Considerations

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 Minio and Databricks)
Cloud Storage
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Big Data Analytics
0 0%
100% 100

User comments

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Reviews

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

Minio Reviews

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
Maintaining consistency between multiple databases, like MinIO and InfluxDB, adds a layer of complexity. In our setup, MinIO, used for blob storage, is linked to data points in InfluxDB via its filename. Any inconsistencies or mismatches between the two could potentially result in data loss. Furthermore, we need to query both databases, which is quite inefficient. Lastly,...
Performance comparison: ReductStore vs. Minio
We often use blob storage like S3, if we need to store data of different formats and sizes somewhere in the cloud or in our internal storage. Minio is an S3 compatible storage which you can run on your private cloud, bare-metal server or even on an edge device. You can also adapt it to keep historical data as a time series of blobs. The most straightforward solution would be...
Best & Cheapest Object Storage Providers With S-3 Support
MinIO supports many use cases for diverse settings and has been cloud-native from its inception. MinIO’s software-defined suite operates in public and private clouds smoothly at the edge and positions itself as a leader in hybrid cloud object storage.
Source: macpost.net
What are the alternatives to S3?
Zenko is an open source multi-cloud controller allowing users to be in control of data while leveraging the efficiency of private and public clouds. Zenko stores information locally and to Amazon S3, Azure Blob storage, Google Cloud Storage, or any S3-compatible cloud storage platform (Ceph, Minio, and more). Zenko, as described on the official website, is not a data mover,...
Source: www.w6d.io
Ceph Storage Platform Alternatives in 2022
MinIO leverages the hard won knowledge of the web scalers to bring a simple scaling model to object storage. At MinIO, scaling starts with a single cluster which can be federated with other MinIO clusters to create a global namespace, spanning multiple data centers if needed. It is one of the reasons that more than half the Fortune 500 runs MinIO.

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, Minio should be more popular than Databricks. It has been mentiond 167 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.

Minio mentions (167)

  • OpenBSD Upgrade 7.6 to 7.7
    In addition, it also includes MariaDB update where "Binary logs are no longer purged by default unless a replica has connected", and minio update where "the MinIO Gateway and the related filesystem mode code have been removed". - Source: dev.to / 28 days ago
  • Hosting Services – The Short and Mid-Term Solution Before Transition to the Public Cloud
    Consume object storage – a hosting provider can deploy and maintain object storage services (such as Min.io), offering his customers to begin consuming storage capabilities that exist in cloud-native environments. - Source: dev.to / 3 months ago
  • When using an S3-compatible Object Storage, be cautious when upgrading **SDK for Java 2.x** to version **2.30.0 or later**
    Based on a rough check using o1 pro mode & Deep Search, MinIO supports it, but other storages do not. - Source: dev.to / 4 months ago
  • Gitlab names Bill Staples as new CEO
    You don't happen to work at Minio do you? Because apparently Minio is for AI these days: https://min.io/. - Source: Hacker News / 6 months ago
  • Minio integration with nestjs | file upload & retrieve
    What is minio? Minio is *free, open-source, scalable S3 compatible object storage. - Source: dev.to / 6 months 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 Minio and Databricks, you can also consider the following products

Ceph - Ceph is a distributed object store and file system designed to provide excellent performance...

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

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

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.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

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.