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Stackby VS Databricks

Compare Stackby VS Databricks and see what are their differences

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The all-in-one Screenshot API for developers: capture websites, generate PDFs, record videos, and automate it all with powerful, scalable infrastructure. No browser setup, no hassle. Just clean results, fast. featured
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Stackby logo Stackby

API first collaborative databases to build your own tools, the way you want. Sign up for free.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • Stackby Landing page
    Landing page //
    2023-06-14

Stackby is a collaborative database platform that empowers anyone to create their own workflows and automate it via third party services. It brings together the familiarity of spreadsheets, functionality of databases and best business APIs (YouTube, MailChimp, Clearbit, etc.) on a single new customizable canvas. No coding and training needed.

Choose from 50+ pre-defined templates across various domains like Sales, Product, Marketing, Growth Hacking, Video production, Creatives, Project Management here - www.stackby.com/templates or build your own from scratch. The possibilities are endless.

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

Stackby features and specs

  • Versatile Database Management
    Stackby offers a versatile platform that combines databases, spreadsheets, and automation. Users can manage data effectively, similar to working with spreadsheets but with the enhanced capabilities of a database.
  • Customizable Views
    Stackby provides multiple views such as grid, kanban, gallery, and forms, allowing users to customize how they view and interact with their data to better suit their workflow needs.
  • Automation Capabilities
    The platform allows users to automate workflows using integrations with popular third-party apps, enabling more efficient data management and reducing manual work.
  • Real-time Collaboration
    Stackby supports real-time collaboration, making it easy for teams to work together on data projects simultaneously, improving teamwork and productivity.
  • Easy to Use Interface
    With a user-friendly interface, Stackby is accessible to users who may not have extensive technical knowledge, allowing a wider range of users to leverage the tool effectively.

Possible disadvantages of Stackby

  • Pricing Structure
    Some users may find the pricing structure of Stackby to be on the higher side, especially for smaller teams or individual users who might not utilize all the premium features available.
  • Learning Curve for Complex Features
    While basic features are user-friendly, there can be a learning curve associated with more complex functionalities, which might require additional time and effort to master.
  • Limited Offline Access
    Stackby might offer limited functionality in offline mode, meaning that continuous internet access is needed to make full use of the platform's capabilities.
  • Integration Limitations
    Although Stackby does support various integrations, some users might find certain desired integrations are not available or might require additional workarounds.
  • Performance with Large Datasets
    Some users may experience performance issues when working with very large datasets, which could hinder efficiency and speed.

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.

Stackby videos

+ Add

Welcome to Stackby

More videos:

  • Review - Stackby Review -- Airtable Competitor, But Should You Switch? [AppSumo 2020]
  • Review - Stackby Onboarding and Review: Spreadsheets Powered By APIs
  • Review - Content Planning: How I Plan YouTube Videos! (Using Stackby)

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 Stackby and Databricks)

Stackby

Databricks

Productivity
100 100%
Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Big Data Analytics
0 0%
Big Data Analytics
100% 100

User comments

Share your experience with using Stackby 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 Stackby and Databricks

Stackby Reviews

We have no reviews of Stackby yet.
Be the first one to post

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 Stackby. 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.

Stackby mentions (11)

  • Is it Possible to manage Email Campaigns for Marketing Agency ?
    Yes Now It's Possible by using stackby you can Manage Email Campaigns and track your email campaigns by connecting MailChimp API and SendFox API directly at the columns in Stackby. Source: about 2 years ago
  • Stackby | A new collaborative canvas to manage and automate work.
    Stackby proves to be a powerful Airtable Alternative, offering a plethora of features and functionalities that cater to diverse needs. With its customizable templates, seamless integrations, collaboration features, advanced data visualization, automation capabilities, and robust security measures, Stackby provides a comprehensive solution for managing and organizing data effectively. Consider giving Stackby a try... Source: about 2 years ago
  • free-for.dev
    StackBy — One tool that brings together flexibility of spreadsheets, power of databases and built-in integrations with your favorite business apps. Free plan includes unlimited users, 10 stacks, 2GB attachment per stack. - Source: dev.to / almost 3 years ago
  • Now, get your all data at your fingertip.
    After close to 400 days of development (by a huge team of 1), we’ve finally launched our brand new, completely built from scratch Stackby iOS app. Source: about 4 years ago
  • HELP: App to replace Google Calendar and Google Tasks
    Go with stackby.com .. It is the best tool out there! Source: about 4 years 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 / about 1 year 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: over 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 / about 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 / over 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 / over 3 years ago
View more

What are some alternatives?

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

monday.com - The most intuitive platform to manage projects and teamwork

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.

Paperflite - Paperflite is a prospect engagement platform to enable business development reps to see what sells.

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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