Software Alternatives, Accelerators & Startups

DataFlowed VS Postgres.js

Compare DataFlowed VS Postgres.js and see what are their differences

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.

DataFlowed logo DataFlowed

DataFlowed Automatically Syncs Your Shopify and Marketing Data to Google Sheets.

Postgres.js logo Postgres.js

Postgres.js - The Fastest full featured PostgreSQL client for Node.js - porsager/postgres
  • DataFlowed Hero
    Hero //
    2025-05-03
  • DataFlowed Dashboard
    Dashboard //
    2025-05-03
  • DataFlowed Shopify Export
    Shopify Export //
    2025-05-03

DataFlowed was born from a simple observation: businesses spend too much time and money building and maintaining custom API integrations. We're here to change that with a reliable, automated solution that just works.

DataFlowed specializes in connecting ecommerce and marketing platforms directly to Google Sheets, eliminating the need for expensive custom development and ongoing maintenance.

By connecting your data to Google Sheets, we unlock powerful possibilities for your business. Create custom dashboards, generate detailed reports, and track key metrics all within a familiar interface that your entire team already knows how to use.

Your data is automatically updated on a schedule you control, ensuring your reports and dashboards are always have fresh data.

  • Postgres.js Landing page
    Landing page //
    2023-08-29

DataFlowed

$ Details
freemium $19.0 / Monthly
Platforms
Web
Release Date
2025 January
Startup details
Country
Australia
State
Queensland
Employees
1 - 9

Postgres.js

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

DataFlowed features and specs

  • Shopify Data Exporter
    Automatically export and sync your Shopify Data to Google Sheets.
  • Facebook Ads Data Exporter
    Automatically export and sync your Facebook Ads Data to Google Sheets.
  • Google Ads Data Exporter
    Automatically export and sync your Google Ads Data to Google Sheets.
  • Google Analytics Data Exporter
    Automatically export and sync your Google Analytics Data to Google Sheets.
  • Google Search Console Data Exporter
    Automatically export and sync your Google Search Console Data to Google Sheets.
  • Google Sheets Data Importer
    Automatically import Shopify, Facebook Ads, Google Ads, Google Analytics and Google Search Console data to Google Sheets.

Postgres.js features and specs

  • Performance
    Postgres.js is designed to provide fast queries and optimized performance using native calls to PostgreSQL.
  • Lightweight
    The library is lightweight, with minimal dependencies, which can lead to easier maintenance and deployment.
  • Asynchronous
    It supports asynchronous operations using modern JavaScript Promise-based syntax, improving code readability and maintainability.
  • Support for PostgreSQL Features
    It includes support for a wide range of PostgreSQL features such as transactions, streaming, and logical replication.
  • Community Support
    Being an open-source project, it has community contributions and support, which can help in getting issues resolved and features updated.

Possible disadvantages of Postgres.js

  • Learning Curve
    Developers who are new to this library might face a learning curve as it might differ from other more commonly used PostgreSQL libraries.
  • Maturity
    Compared to older libraries like node-postgres (pg), it might lack the extensive documentation and long-term usage by large projects.
  • Niche Use Case
    May not be the best fit for applications that require a middleware ORM or the abstractions provided by traditional ORMs.
  • Smaller Ecosystem
    While it is growing, the ecosystem of third-party tools and plugins is not as large as those for some established libraries.

Category Popularity

0-100% (relative to DataFlowed and Postgres.js)
Google Sheets
100 100%
0% 0
Developer Tools
0 0%
100% 100
Reporting & Dashboard
100 100%
0% 0
Web Frameworks
0 0%
100% 100

Questions and Answers

As answered by people managing DataFlowed and Postgres.js.

What's the story behind your product?

DataFlowed's answer

DataFlowed was born from a simple observation: businesses spend too much time and money building and maintaining custom API integrations. We're here to change that with a reliable, automated solution that just works.

User comments

Share your experience with using DataFlowed and Postgres.js. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Postgres.js seems to be more popular. It has been mentiond 20 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.

DataFlowed mentions (0)

We have not tracked any mentions of DataFlowed yet. Tracking of DataFlowed recommendations started around May 2025.

Postgres.js mentions (20)

  • Neon Is Generally Available: Serverless Postgres
    I want to use this as a chance to bring attention to a GitHub issue that I think would help reduce friction for Neon: https://github.com/neondatabase/neon/issues/4989. Having run a local dev environment connected to Neon and tests connected to Neon got in our way of adoption. We'd prefer to develop and run tests against a regular Postgres localhost database. To the PMs of Neon, put yourself in the shoes of a new... - Source: Hacker News / about 1 year ago
  • Drizzle is just as unready for prime-time as Prisma, what else is there?
    I'd push you to consider using postgres, slonik or similar for database queries. With these libraries, you just write SQL, but they perform input sanitization for you. So you can safely write:. Source: over 1 year ago
  • We migrated to SQL. Our biggest learning? Don't use Prisma ORM
    There's also https://kysely.dev/ but personally I handwrite my queries with https://github.com/porsager/postgres for flexibility and performance most orms use node-pg lib which has shit performance. - Source: Hacker News / over 1 year ago
  • Relational is more than SQL
    When viewed as a DSL for set theory, views, CTEs, set-returning functions, et al are indeed proper first-class query abstractions. When viewed through the lens of general purpose imperative or functional programming languages, it's easy to see how it can be seen as falling short. I'll admit much of the tooling and driver APIs leave a lot to be desired. Some tools do make good efforts though such as nested... - Source: Hacker News / over 1 year ago
  • Is ORM still an anti-pattern?
    Demonstrate how easily and accidentally one can make an SQL injection with these: https://github.com/porsager/postgres. - Source: Hacker News / almost 2 years ago
View more

What are some alternatives?

When comparing DataFlowed and Postgres.js, you can also consider the following products

Coupler.io - Try Coupler.io to turn complex data into insightful reports. Bring your marketing, sales, and finance data to your sheets and dashboards with no-code.

SQLPage - Build SQL-only websites - Build full web applications using just SQL queries

Supermetrics - Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

JDBI - See this.

Coefficient.io - Automatically Sync Google Sheets with your Business Systems. No-code reporting and analysis tool.

Gio UI - Gio is an open source library for creating portable, immediate mode GUI programs for Android, iOS, Linux, Windows, macOS.