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Thunkable VS Databricks

Compare Thunkable VS Databricks and see what are their differences

Modelence
Create production-ready applications with zero code featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Thunkable logo Thunkable

Powerful but easy to use, drag-and-drop mobile app builder.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • Thunkable Landing page
    Landing page //
    2023-10-23
  • Databricks Landing page
    Landing page //
    2023-09-14

Thunkable features and specs

  • User-Friendly Interface
    Thunkable offers a drag-and-drop interface which makes it easy for beginners to create mobile apps without needing to write code.
  • Cross-Platform Development
    It allows you to build apps that work on both iOS and Android platforms from a single codebase, saving time and effort.
  • Community and Support
    Thunkable has an active community and extensive documentation, which can be very helpful for troubleshooting and learning new features.
  • Real-time Testing
    You can test your app in real-time using the Thunkable Live app, which speeds up the development process.
  • Integrations
    Thunkable offers various pre-built integrations such as Google Sheets, Firebase, and REST APIs, making it easier to add functionality to your app.

Possible disadvantages of Thunkable

  • Limited Customization
    While the drag-and-drop interface is user-friendly, it can also be limiting for advanced users who need more control and customization.
  • Performance Issues
    Apps built with Thunkable may not perform as well as those built with native development tools, particularly for resource-intensive applications.
  • Pricing
    While Thunkable offers a free tier, many advanced features and higher usage limits are locked behind a subscription paywall.
  • Learning Curve for Complex Apps
    Although itโ€™s beginner-friendly, creating complex apps can still require a steep learning curve, especially if you donโ€™t have a background in app development.
  • Dependence on Platform Limitations
    As a cross-platform tool, it may not always support the latest features specific to iOS or Android as quickly as native solutions.

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 Thunkable

Overall verdict

  • Thunkable is a good choice for individuals or small teams looking to develop apps quickly and without needing to learn complex programming languages. Its simplicity and cross-platform capabilities make it a preferred option for novice developers or educators teaching app development.

Why this product is good

  • Thunkable is a platform that allows users to create mobile applications without extensive coding knowledge. It features a drag-and-drop interface, making it accessible to beginners and those without a technical background. The platform supports both Android and iOS app development from a single project, which saves time and effort. Additionally, Thunkable provides various pre-built components and a community forum for support.

Recommended for

    Beginners in app development, educators introducing app creation, small startups looking for rapid prototyping, and non-technical entrepreneurs interested in building mobile applications.

Thunkable videos

+ Add

What is Thunkable X?

More videos:

  • Review - Thunkable vs Kodular: Create Android and iOS Apps without Coding
  • Review - ProductHunt Review E8 (Reactful, Thunkable, Tster) by Cleveroad Inc

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 Thunkable and Databricks)

Thunkable

Databricks

Mobile App Builder
100 100%
Mobile App Builder
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Application Builder
100 100%
Application Builder
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Thunkable 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 Thunkable and Databricks

Thunkable Reviews

Top 10 Android Studio Alternatives For App Development
Thunkable is a mobile application development platform that allows users to create apps on Android or iOS without having any coding skills. It consists of a drag-and-drop interface which makes it easier to use by anyone.
Source: www.geeksforgeeks.org
Top 5 App Builder To Build Your Own App Without Coding
In the Free Version of Thunkable, You can make a maximum of 10 posts with 200 MB of storage, Don't create a Good Project in the free version because Your project is available in public So that anyone can use it. If you want to create an app to publish your app on the play store, So please buy PRO subscriptions in Thunkable or Move to another app builder. Only you can...
Source: www.neverspend.in
33+ Best No Code Tools you will love ๐Ÿ˜
With testing out Thunkable with a friend, it's a bit of s learning curve at first, but once you get used to the platform, there's a lot of potential to build awesome projects. What I do like that they have done is includes video tutorials (which is pulled in from their YouTube page) to understand specific features/tools to help build your app. Something I think more apps...
Source: www.dansiepen.io
25 No-Code Apps and Tools to help build your next Startup
Thunkable is a powerful mobile app builder that requires no coding. It emphasizes speed and aesthetics. Its best feature is its functionality for advanced features.
Source: www.ishir.com
10 Best Android Studio Alternatives For App Development
Thunkable is a powerful drag and drops app builder. And this is made by two of the very first MIT engineers on the MIT app inventor. The platform is geared for the most professional users, who may want higher quality and robust apps for their business, community or just for themselves. Thus, Thunkable has an amazingly active and engaged community. And it also offers live...
Source: techdator.net

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 Thunkable. 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.

Thunkable mentions (10)

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 / 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 Thunkable and Databricks, you can also consider the following products

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

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

Android Studio - Android development environment based on IntelliJ IDEA

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.

AppyPie AppMakr - AppMakr is a browser-based platform designed to make creating your own iPhone app quick and easy.

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.

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