Software Alternatives, Accelerators & Startups

Databricks VS Getly.store

Compare Databricks VS Getly.store and see what are their differences

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Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?

Getly.store logo Getly.store

Buy and sell digital products โ€” templates, design assets, fonts, music, courses, AI prompts, software, and more. 80% revenue share for creators.
  • Databricks Landing page
    Landing page //
    2023-09-14
  • Getly.store
    Image date //
    2026-03-08
  • Getly.store
    Image date //
    2026-03-08
  • Getly.store
    Image date //
    2026-03-08

Getly.store is a digital goods marketplace where creators sell templates, design assets, fonts, music, code, AI prompts, courses, 3D models, and more.

Why Getly?

  • 90% revenue share for new sellers (first 3 months), then 80% โ€”
    one of the highest in the industry
  • 678 categories covering every digital niche from gaming assets to e-books
  • Crypto payments โ€” buyers can pay with USDT/USDC alongside traditional Stripe checkout
  • Built-in marketing tools โ€” email campaigns, affiliate program,
    coupons, product bundles, upsells
  • AI-powered discovery โ€” semantic search, personalized
    recommendations, quality scoring
  • Getly Pro โ€” subscription plan for buyers to access a curated
    catalog
  • Developer API โ€” webhooks, REST API with API keys for custom
    integrations
  • Multi-language โ€” English and Russian interface with localized
    emails

For Sellers

List your digital products in minutes. Get a customizable storefront, real-time analytics, customer CRM, and automated payouts on the 1st and 15th of each month (Stripe or stablecoins).

## For Buyers

Discover quality digital products with AI-powered search, verified reviews, wishlists, and weekly free products. Pay with card or crypto.

Getly.store

$ Details
-
Release Date
2026 February
Startup details
Country
Ukraine
State
Dnepr
City
Kriviy Rih
Employees
1 - 9

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.

Getly.store features and specs

  • Simple Storefront Setup
    Getly.store offers a straightforward way to set up an online storefront, making it accessible for individuals and small businesses who want to start selling products online without extensive technical knowledge.
  • Affordable Entry Point
    The platform appears to target small sellers and entrepreneurs with a low-cost or free entry point, making it accessible for those who are just starting out in e-commerce and have limited budgets.
  • Clean and Minimalist Interface
    Getly.store features a clean, minimalist design that is easy to navigate for both store owners and customers, reducing friction in the buying and selling process.
  • Quick Product Listing
    The platform allows sellers to list products quickly without overly complicated processes, enabling users to get their store up and running in a short amount of time.
  • Link-Based Sharing
    Getly.store provides shareable store links that sellers can easily distribute across social media platforms and messaging apps, making it convenient for social commerce and direct selling.

Possible disadvantages of Getly.store

  • Limited Brand Recognition
    Getly.store is a relatively lesser-known platform compared to established e-commerce solutions like Shopify or Etsy, which may reduce buyer trust and make it harder for sellers to attract customers.
  • Limited Feature Set
    Compared to more mature e-commerce platforms, Getly.store may lack advanced features such as detailed analytics, robust inventory management, advanced SEO tools, and extensive third-party integrations.
  • Scalability Concerns
    The platform may not be well-suited for businesses looking to scale significantly, as it appears designed primarily for small-scale sellers and may lack the infrastructure to support high-volume operations.
  • Limited Customer Support Resources
    As a smaller platform, Getly.store may have limited customer support options and documentation, which could be challenging for users who encounter issues or need assistance setting up their store.
  • Uncertain Long-Term Viability
    Being a newer and less established platform, there may be concerns about the long-term sustainability of the service, which could pose risks for sellers who invest time building their storefront on it.

Analysis of Getly.store

Overall verdict

  • Insufficient verified information is available about Getly.store to confirm its legitimacy, product quality, or overall reliability, so caution is advised before making any purchase.

Why this product is good

  • The site lacks widespread, verifiable customer reviews or third-party ratings that would confirm trustworthiness
  • Limited public information makes it difficult to verify business registration, ownership, or history
  • No strong presence on established review platforms (e.g., Trustpilot, BBB) was found to validate service quality
  • Newer or lesser-known e-commerce sites can carry higher risk regarding shipping, returns, and customer support

Recommended for

  • Shoppers who are willing to do extra due diligence, such as checking for SSL security, return policies, and contact information before purchasing
  • Buyers who prefer to use secure payment methods like PayPal or credit cards that offer purchase protection when trying unfamiliar online stores
  • Those specifically searching for niche products that Getly.store may offer, provided they proceed with caution and verify legitimacy first

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Getly.store videos

No Getly.store videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Databricks and Getly.store)
Data Dashboard
100 100%
0% 0
Digital Products
0 0%
100% 100
Big Data Analytics
100 100%
0% 0
eCommerce
0 0%
100% 100

Questions & Answers

As answered by people managing Databricks and Getly.store.

What makes your product unique?

Getly.store's answer:

Getly combines the highest revenue share in the industry (90% for new
sellers) with AI-powered discovery, crypto payments (USDT/USDC), and
678 specialized categories. Unlike competitors, it offers built-in
email marketing, affiliate programs, and an automated marketing bot โ€”
all included, no extra fees.

Why should a person choose your product over its competitors?

Getly.store's answer:

Gumroad takes 10% + processing fees. Envato takes 37.5-87.5%. Getly gives sellers 90% for the first 3 months, then 80% โ€” permanently. Plus crypto payouts, real-time analytics, customer CRM, AI-generated product recommendations, and bi-monthly payouts via Stripe or stablecoins. Buyers get AI-powered search, verified reviews, and weekly free
products

How would you describe the primary audience of your product?

Getly.store's answer:

Digital creators and indie sellers: designers, developers, musicians, 3D artists, course creators, AI prompt engineers, and game developers who want to sell templates, assets, fonts, code, music, e-books, and software. Buyers are freelancers, small teams, and hobbyists looking for quality digital tools at fair prices.

What's the story behind your product?

Getly.store's answer:

Getly was built out of frustration with existing marketplaces that take too large a cut and offer limited seller tools. The goal was simple: create a platform where digital creators keep most of their earnings while getting professional-grade marketing, analytics, and discovery tools built in โ€” not as paid add-ons.

Which are the primary technologies used for building your product?

Getly.store's answer:

Next.js, React, PostgreSQL (Neon), TypeScript, Stripe, Cloudflare R2, OpenAI, TailwindCSS, Drizzle ORM, Vercel

Who are some of the biggest customers of your product?

Getly.store's answer:

Getly is an early-stage marketplace currently onboarding its first wave of creators across design, gaming, and development categories.

User comments

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Reviews

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

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.

Getly.store Reviews

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

Social recommendations and mentions

Based on our record, Databricks seems to be more popular. 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.

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: over 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

Getly.store mentions (0)

We have not tracked any mentions of Getly.store yet. Tracking of Getly.store recommendations started around Mar 2026.

What are some alternatives?

When comparing Databricks and Getly.store, you can also consider the following products

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

Gumroad - An all-in-one solution to sell your work and grow your audience.

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.

Envato - Join millions and bring your ideas and projects to life with Envato - the world's leading marketplace and community for creative assets and creative people.

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.

Lemon Squeezy - Sell digital products the easy-peasy way