Software Alternatives, Accelerators & Startups

Talk To Your Data App VS Databricks

Compare Talk To Your Data App VS Databricks and see what are their differences

Talk To Your Data App logo Talk To Your Data App

Tak to your data in natural language, no technical skills required. PostgreSQL, MySQL, HubSpot, Mailchimp & many more SaaS platforms. Get instant answers, visualizations & insights.

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • Talk To Your Data App
    Image date //
    2025-08-26
  • Talk To Your Data App
    Image date //
    2025-08-26
  • Talk To Your Data App
    Image date //
    2025-08-26

Talk To Your Data helps businesses access and analyze their information by transforming complex database queries into simple, natural language conversations. Using advanced Large Language Models (LLMs), the platform connects to PostgreSQL, MySQL, HubSpot, Mailchimp, and numerous other SaaS platforms. Users can ask questions in natural language and receive instant answers, visualizations, and actionable insights without any techincal knowledge or technical setup. The AI interprets questions, securely connects to data sources, and delivers clear, contextual insights that help businesses make informed decisions faster.

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

Talk To Your Data App

$ Details
paid Free Trial $50.0 / Monthly (500 monthly messages, 1 member, 1 data connection)
Platforms
Postgres MySQL Hubspot MailChimp Stripe Shopify GMail Airtable Supabase
Release Date
2025 August
Startup details
Country
Spain
State
Barcelona
City
Barcelona
Founder(s)
Nor Alexanian, Jordi Albert Ribas Gonzรกlez
Employees
1 - 9

Talk To Your Data App features and specs

  • Natural Language Querying
    Ask questions in plain language and get instant answers, no SQL or technical setup required.
  • AI-Powered Data Processing
    Utilizes advanced AI and Large Language Models to interpret questions and analyze data across multiple sources.
  • Instant Insights & Visualizations
    Provides clear, actionable insights and visualizations unified from multiple data sources in real time.
  • Data Source Integration
    Seamlessly connects to databases (PostgreSQL, MySQL) and SaaS tools (HubSpot, Mailchimp, analytics, marketing, productivity platforms, and more).
  • Interactive Demo
    Try a live demo with sample datasets, no registration needed. Privacy-First Architecture โ€“ End-to-end encryption, zero data retention, permission-based access, and no business data stored.
  • Flexible for Any Organization Size
    Designed for both startups without data teams and companies with established data teams.
  • Free Trial
    14-day free trial with no credit card required. Unified Conversational Interface โ€“ One simple interface for accessing all your business data, regardless of the source.
  • No Technical Skills Required
    Built for both technical and non-technical users to easily analyze and access their data.
  • Real-Time Processing
    Answers and insights are generated instantly, without waiting for manual reports.
  • Transparent Data Handling
    Processes only user-authorized data, with complete transparency about data usage.
  • Business Intelligence Automation
    Automates everyday data analysis and reporting tasks, boosting team productivity.

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.

Talk To Your Data App videos

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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 Talk To Your Data App and Databricks)
AI
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Data Analysis
100 100%
0% 0
Big Data Analytics
0 0%
100% 100

Questions and Answers

As answered by people managing Talk To Your Data App and Databricks.

What makes your product unique?

Talk To Your Data App's answer

Itโ€™s the first solution designed equally for non-technical users and data teams. Helping everyone access, analyze, and visualize data effortlessly, whether youโ€™re a startup or an enterprise.

Why should a person choose your product over its competitors?

Talk To Your Data App's answer

Whether youโ€™re a non-technical user or a data pro, Talk To Your Data empowers your team to make faster, smarter decisions, so you can stop waiting for answers and start acting on insights today.

How would you describe your primary audience?

Talk To Your Data App's answer

The primary audience for Talk To Your Data is businesses and organizations of all sizes that want to simplify data access and analysis. Especially those using multiple databases and SaaS platforms. This includes startups and non-technical teams seeking easy, code-free insights, as well as established companies with data teams looking to boost productivity, automate routine analysis, and provide a unified, conversational interface for all their data sources.

What's the story behind your product?

Talk To Your Data App's answer

As a sole web developer at work, I always ended up with requests for analytics from our internal database. Even though I could write SQL, it took way too long to get the right answers for my boss while also working on my actual tasks. Thatโ€™s when I built a tool that let me ask questions in natural language and get instant insights. My boss was hooked, and still uses it every day.

Which are the primary technologies used for building your product?

Talk To Your Data App's answer

Vuejs, Stripe, Notion

Who are some of the biggest customers of your product?

Talk To Your Data App's answer

Etalex Metal - Custom Metal Manufacturing for Business

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Talk To Your Data App and Databricks

Talk To Your Data App Reviews

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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, 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.

Talk To Your Data App mentions (0)

We have not tracked any mentions of Talk To Your Data App yet. Tracking of Talk To Your Data App recommendations started around Aug 2025.

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 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 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 Talk To Your Data App and Databricks, you can also consider the following products

TalktoData AI - Data analytics made easy with AI

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

ChatWithCloud AI - Chat with your AWS Cloud from Terminal. Talk to your Cloud, literally.

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.

InsightBase - Talk to your database, build analytics by asking questions

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.