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Unleash VS Databricks

Compare Unleash VS Databricks and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Contents:
  1. » Base Details
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  3. » Reviews
  4. » Alternatives

Unleash logo Unleash

Unleash is an open-source feature management platform. We are private, secure, and ready for the most complex setups out of the box.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Unleash Landing page
    Landing page //
    2021-06-12

As a highly flexible feature management platform, Unleash is built to reduce the risk of releasing new features and accelerate software development.

Whether you’re a small team or a large enterprise, Unleash enables you to innovate faster and make data-driven decisions that enhance your user experience.

With market-leading data governance, robust change and access controls, SaaS or self-hosted deployment options, multi-region support, and the flexibility of open-source, you have the freedom to choose the setup that works best for you while maintaining full control over your data.

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

Unleash

Website
getunleash.io
Pricing URL
Official Unleash Pricing
$ Details
freemium $75.0 / Monthly ("Enterprise Pay-as-you-go", "5 users")
Platforms
Linux JavaScript Java .Net Go Elixir Python Ruby
Release Date
2019 January
Edit details

Databricks

Website
databricks.com
Pricing URL
Official Databricks Pricing
$ Details
Platforms
-
Release Date
-
Edit details

Unleash features and specs

  • Flexibility
    Unleash provides a highly flexible feature management system that allows teams to enable or disable features without deploying new code. This is particularly useful for A/B testing, gradual rollouts, and quick feature toggles.
  • Open Source
    Being an open-source platform, Unleash allows you to review the source code, contribute to improvements, and avoid vendor lock-in. This provides a greater degree of transparency and control.
  • Multiple Environment Support
    Unleash supports multiple environments (development, staging, production) out of the box, enabling seamless management of feature releases across different stages of software development and deployment.
  • Strong Community
    As an open-source project, Unleash boasts a strong community that contributes to its constant improvement and provides support through forums, documentation, and other channels.
  • Privacy and Security
    Unleash allows self-hosting, which can be a significant advantage for organizations concerned about data privacy and security. Self-hosting ensures that no feature flag data leaves your infrastructure.

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.

Analysis of Unleash

Overall verdict

  • Yes, Unleash is generally considered a good option for teams looking to implement feature management and flagging in their development workflow. It is praised for its flexibility, scalability, and ease of integration.

Why this product is good

  • Unleash is a feature management platform that offers robust feature flagging capabilities. It allows teams to ship features faster, reduce risk, and efficiently manage feature rollouts. With a focus on gradual releases, segmentation, A/B testing, and flexible SDKs, Unleash provides the tools needed for sophisticated feature management.

Recommended for

  • Development teams aiming for quick, controlled feature releases.
  • Organizations needing dynamic configuration management.
  • Software projects looking to implement A/B testing and custom targeting strategies.
  • Teams that prioritize open-source solutions and community support.

Unleash videos

+ Add

Why Unleash? Why Now?

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 Unleash and Databricks)

Unleash

Databricks

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Feature Flags
100 100%
Feature Flags
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Unleash 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 Unleash and Databricks

Unleash Reviews

The 8 best free and open-source feature flag services
BlogBackSign inBlogThe 8 best free and open-source feature flag servicesPosted byThe best open-source feature flag tools1. PostHogWhat is PostHog?Supported librariesHow much does it cost?2. UnleashWhat is Unleash?Supported SDKsHow much does it cost?3. GrowthBookWhat is GrowthBook?Supported SDKsHow much does it cost?4. FlagsmithWhat is Flagsmith?Supported SDKsHow much does it...
Source: posthog.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, Databricks should be more popular than Unleash. 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.

Unleash mentions (4)

  • KILLSWITCH
    So my first instinct is to setup some sorta feature-flag thing within a CMS so managers can flip the boolean, I'm exploring getunleash.io and GrowthBook.io and we already use Contentful.com within the app but they're saying they "really don't think we need to use any third party thing for a killswitch"... Source: almost 2 years ago
  • Need your opinion
    We are an Open Source Feature Flagging solution called Unleash, and we are looking to get some feedback from the community on a decision we are trying to make. We are considering offering our developers the option to either write technical content through a Community Content Program for us for a $200 fee, or to donate that amount to charity. Source: over 2 years ago
  • How we use analytics as a privacy focused OSS company
    TLDR: Privacy is really important for us at Unleash. Here you will find the full story on how we ended up with an analytics solution that does not collect personal data and has very short retention. Whenever we evaluate a new feature at Unleash, we always start with one question. How does this fit with our values? This question is powerful. It can quickly qualify or disqualify a feature from consideration, putting... - Source: dev.to / almost 3 years ago
  • Best A/B testing, experimentation platform for Mobile
    Have seen Unleash used: getunleash.io and people seemed happy with it. Source: almost 4 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 / 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 / almost 3 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 Unleash and Databricks, you can also consider the following products

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

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

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

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.

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

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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