Software Alternatives, Accelerators & Startups

Baserow VS dataflow

Compare Baserow VS dataflow and see what are their differences

Baserow logo Baserow

Build databases, automations, apps & agents with AI โ€” self-hosted, open source, no-code

dataflow logo dataflow

This software provides a graphical user interface (GUI) for designing and simulating algorithms and systems in digital signal processing (DSP) and digital communications.
  • Baserow No-code database
    No-code database //
    2025-11-21
  • Baserow AI form building
    AI form building //
    2025-11-21
  • Baserow Kanban board
    Kanban board //
    2025-11-21
  • Baserow Application builder
    Application builder //
    2025-11-21
  • Baserow Automations
    Automations //
    2025-11-21
  • Baserow Dashboard
    Dashboard //
    2025-11-21
  • Baserow Kuma
    Kuma //
    2025-11-21
  • Baserow Application builder
    Application builder //
    2025-11-21
  • Baserow Automations
    Automations //
    2025-11-21
  • Baserow Self hosted
    Self hosted //
    2025-11-21

Baserow is the secure, open-source platform for building databases, applications, automations, and AI agents โ€” all without code. Trusted by over 150,000 users, Baserow delivers enterprise-grade security with GDPR, HIPAA, and SOC 2 Type II compliance, plus cloud and self-hosted deployments for full data control. With a built-in AI Assistant that lets you create databases and workflows using natural language, Baserow empowers teams to structure data, automate processes, build internal tools, and create custom dashboards. Fully extensible and API-first, Baserow integrates seamlessly with your existing tools and performs at any scale.

  • dataflow Landing page
    Landing page //
    2023-04-19

Baserow

Website
baserow.io
$ Details
freemium
Platforms
Docker Helm Kubernetes Browser Google Chrome Firefox REST API
Startup details
Country
The Netherlands
Founder(s)
Bram Wiepjes, Olivier Maes
Employees
10 - 19

Baserow features and specs

  • Database
  • Automations
  • Application Builder
  • Dashboards
  • AI-assistant
  • Vibe no-coding
  • Grid view
  • Gallery view
  • Form view
  • Kanban view
  • Calendar view
  • Timeline view
  • Web application
  • Filtering
  • Sorting
  • Search
  • Templates
  • Public REST API
  • API token permissions
  • Import
  • Export
  • Trash
  • Undo/redo
  • Webhooks
  • Public sharing
  • Footer aggregations
  • Row comments
  • Row coloring
  • Real time collaboration
  • Rich field types
  • Admin panel
  • Inviting members
  • Date dependencies
  • Data sync

dataflow features and specs

  • Scalability
    Dataflow is designed to handle large-scale data processing tasks efficiently. It can automatically scale resources up or down based on the current workload, ensuring optimal performance and cost-effectiveness.
  • Unified Model
    Dataflow provides a unified programming model that supports both batch and stream processing. This flexibility allows developers to use the same codebase for different types of data processing tasks.
  • Fully Managed
    As a managed service, Dataflow eliminates the need for infrastructure management. Google Cloud handles provisioning, configuration, and management tasks, freeing up developers to focus on building and optimizing their data processing pipelines.
  • Integrations
    Dataflow integrates seamlessly with other Google Cloud services, such as BigQuery, Cloud Storage, and Pub/Sub, allowing for comprehensive data processing workflows within the Google ecosystem.

Possible disadvantages of dataflow

  • Cost
    While Dataflow provides powerful features, it can become expensive, especially for larger data processing tasks or continuous streaming pipelines. Costs can accumulate with increased resource usage and storage.
  • Complexity
    Dataflow can have a steep learning curve, particularly for those unfamiliar with Apache Beam, the underlying programming model. The complexity of setting up and optimizing pipelines can be challenging for new users.
  • Vendor Lock-in
    As a proprietary Google Cloud service, Dataflow may lead to vendor lock-in concerns. Organizations heavily dependent on Dataflow might face challenges if they decide to migrate to other cloud platforms.
  • Debugging Challenges
    Debugging in Dataflow can be difficult, especially in streaming pipelines. While there are debugging tools available, the distributed nature of Dataflow can complicate troubleshooting efforts.

Analysis of Baserow

Overall verdict

  • Baserow is a good option for users looking for an open-source, easily customizable database solution that provides a wide set of features for team collaboration and data management without needing to write code.

Why this product is good

  • Baserow is a no-code database tool that allows users to create databases and team collaboration without requiring programming knowledge. It is appreciated for its user-friendly interface, scalability, and robust features such as real-time collaboration, flexible data organization, and integration capabilities with other software applications.

Recommended for

  • Small to medium-sized teams looking for a collaborative database solution
  • Individuals and organizations preferring open-source software
  • Users who require customization and flexibility in managing data
  • Those who want integration with other tools and platforms

Analysis of dataflow

Overall verdict

  • Dropbox Dash (formerly Dropbox Dataflow) is a solid AI-powered universal search and productivity tool, particularly useful for teams already invested in the Dropbox ecosystem, though it may offer less value for those using competing storage or search solutions.

Why this product is good

  • Provides unified search across multiple cloud storage platforms like Google Drive, OneDrive, and Dropbox
  • Uses AI to help organize, summarize, and surface relevant files quickly
  • Reduces time spent searching for documents across fragmented apps
  • Integrates with common workplace tools like Slack, Notion, and email
  • Offers smart organization features that group related files and content automatically
  • Backed by Dropbox's established infrastructure and security practices

Recommended for

  • Teams and businesses using multiple cloud storage services simultaneously
  • Knowledge workers who need to quickly locate files across scattered platforms
  • Organizations already using Dropbox looking to add AI-enhanced search capabilities
  • Remote or hybrid teams managing large volumes of shared documents
  • Professionals seeking to reduce context-switching between apps to find information

Baserow videos

Baserow

dataflow videos

Are you using the right Dataflows connector in Power BI???

More videos:

  • Review - What is a Power BI dataflow? A deep dive on Dataflows for Power BI
  • Tutorial - DataFlow Partners: How to Review and Approve PSV Reports

Category Popularity

0-100% (relative to Baserow and dataflow)
SaaS
100 100%
0% 0
Numerical Computation
0 0%
100% 100
Productivity
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Baserow and dataflow.

Who are some of the biggest customers of your product?

Baserow's answer

Royal Bank of Canada, Groupe Atlantic, Capgemini, Charite, AND-E, Believe, Surf, Stafflink,

Which are the primary technologies used for building your product?

Baserow's answer

Python/Django, Vue/Nuxt, PostgreSQL

User comments

Share your experience with using Baserow and dataflow. 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 Baserow and dataflow

Baserow Reviews

12 Best Open-source Database Backend Server and Google Firebase Alternatives
Baserow is a low-code and no-code database application layer with a rich REST-API headless mode for building a data-rich web and mobile apps.It features a multi-project (app) support, dynamic data tables view with a rich control panel which comes with Kanban and Calendar views as well. It supports real-time collaboration and unlimited data row display.Baserow is built on top...
Source: medevel.com

dataflow Reviews

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

Social recommendations and mentions

Based on our record, Baserow seems to be more popular. It has been mentiond 97 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.

Baserow mentions (97)

  • I only use Google Sheets
    Have any thoughts on how it compares to https://baserow.io/ ? - Source: Hacker News / 10 months ago
  • Why Do Developers Struggle with Low-Code? (6 Tools That Actually Help)
    4. Baserow (An Open-Source Airtable Alternative for Easy Data Management). - Source: dev.to / over 1 year ago
  • Open-Source Alternative to Airtable
    I don't know of any OSS low code dbs with access controls, but baserow's paid plans do https://baserow.io/. - Source: Hacker News / over 2 years ago
  • Baserow โ€“ Self Hosted Airtable Alternative Launches No-Code Application Builder
    Hey, I'm one of the founders of Baserow. We launched the beta of our application builder last week. It allows you to build database-driven websites, web applications, and portals. It's in the same product as our database module, and will work seamlessly together with it. More information can be found in the release blog post linked to this post, and in this video https://www.youtube.com/watch?v=yjE7gxkPlDs. Even... - Source: Hacker News / over 2 years ago
  • Show HN: Teable โ€“ Open-Source No-Code Database Fusion of Postgres and Airtable
    What are the main differences compared to Baserow (https://baserow.io/)? - Source: Hacker News / over 2 years ago
View more

dataflow mentions (0)

We have not tracked any mentions of dataflow yet. Tracking of dataflow recommendations started around Mar 2021.

What are some alternatives?

When comparing Baserow and dataflow, you can also consider the following products

BareMetrics - SaaS Analytics for Stripe

Rows - The spreadsheet where teams work faster

Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.

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

NocoDB - The Open Source Airtable alternative

Datastryke - We're a dashboard and reporting agency taking the tricky data work off of your hands.