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Postgres.js VS Databox

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

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Postgres.js logo Postgres.js

Postgres.js - The Fastest full featured PostgreSQL client for Node.js - porsager/postgres

Databox logo Databox

Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.
  • Postgres.js Landing page
    Landing page //
    2023-08-29
  • Databox Databox Home
    Databox Home //
    2024-11-08

Databox is an easy-to-use analytics platform for growing businesses. By connecting all your tools, you can centralize your data in one place and then visualize, track, analyze, and report on key metrics across your entire organization.

We’ve taken powerful analytics features, normally found in complex enterprise tools, and made them accessible for growing businesses. Now, anyone on your team can use data to make better decisions and improve performance.

  • Build custom dashboards without code, so you always know how you’re performing.
  • Create automated reports to share updates, dashboards, and context with your team or clients.
  • Set goals for every team, and track their progress automatically.
  • Use Benchmarks to see how you compare to companies like yours, and find opportunities to improve.
  • And, use Forecasts to predict future performance and plan better now.

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.

Databox features and specs

  • User-Friendly Interface
    Databox offers an intuitive and easy-to-navigate interface that allows users of all technical levels to create, manage, and analyze dashboards without extensive training.
  • Integration Capabilities
    Databox supports integration with numerous popular data sources such as Google Analytics, HubSpot, Salesforce, and more, enabling users to bring all their data into one unified platform.
  • Customizable Dashboards
    Users can tailor dashboards to meet their specific needs by customizing widgets, charts, and graphs, providing flexibility in the representation of data.
  • Real-time Data Updates
    Databox provides real-time data updates, allowing users to make timely and informed decisions based on the most current information available.
  • Mobile App Availability
    Databox offers a mobile application for both iOS and Android, making it convenient for users to access their dashboards and data insights on the go.
  • Pre-designed Templates
    The platform comes with pre-designed templates that can help users get started quickly and effortlessly, saving time on dashboard creation.

Possible disadvantages of Databox

  • Pricing
    Databox can be considered expensive for small businesses or individual users, particularly if advanced features and additional integrations are required.
  • Learning Curve for Advanced Features
    While simple tasks are straightforward, there may still be a learning curve for users who want to take full advantage of Databox's more advanced analytics and customization features.
  • Limited Data Source Customization
    Although Databox integrates with many data sources, there can be limitations in how data from these sources can be customized or manipulated within the platform.
  • Dependency on Third-Party Integrations
    Since Databox relies heavily on third-party integrations, any issues or outages with these services can impact the functionality and accuracy of the dashboards.
  • Potential Performance Issues
    Some users have reported occasional performance issues, such as slow load times or lags when dealing with large datasets or complex visualizations.
  • Support for Complex Data Queries
    For users who require complex data queries and manipulations, Databox might fall short, as it is more focused on visualizations and less on advanced data analysis functionalities.

Postgres.js videos

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Databox videos

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Databox - Business Analytics Platform & KPI Dashboards

More videos:

  • Review - Save Hours on Marketing Reports, Use Databox | My Favourite Tools #4
  • Review - Databox Review: Automated Client Reporting for Agencies — #AgencyToolbox

Category Popularity

0-100% (relative to Postgres.js and Databox)

Postgres.js

Databox

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Web Frameworks
100 100%
Web Frameworks
0% 0
Business Intelligence
0 0%
Business Intelligence
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Postgres.js and Databox

Postgres.js Reviews

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Databox Reviews

8 Databox Alternatives: Which One Is The Best?
If you are unsatisfied with the features or pricing models of Databox, you can check the platforms I have listed below. Even though you are not sure or confused about the options, you should not decide before examining all the pros and cons of the listed tools. However, if you are still not satisfied with the listed options, HockeyStack will help you get informed about...
Source: hockeystack.com
27 dashboards you can easily display on your office screen with Airtame 2
Databox has a clever drag-and-drop editor that makes data visualization a breeze. It has a ton of integration options so you can connect all data sources, no matter where you want your information to come from.
Source: airtame.com
5+ Cheap Alternatives & Competitors Of ChartMogul
Databox is famous among all the businesses as it provides analytics of almost all the business sectors, payment analytics being one of them. Another fascinating feature that makes Databox a cheap alternative to ChartMogul is the availability of multiple dashboards which can be customized using a drag-and-drop editor.
Source: www.inkthemes.com
5+ Cheapest PayPal Payment Metrics Services
Databox is a leading payment analytic software provider which gives you all the business KPIs at one place, the system also provide the PayPal analytics software which can be used to monitor your balance, sales, fees, refunds and much more. You can also know what are the top products and services that are purchased by your customers.
Source: www.pabbly.com

Social recommendations and mentions

Based on our record, Postgres.js should be more popular than Databox. 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.

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
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Databox mentions (6)

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What are some alternatives?

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

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

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

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

Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.

JDBI - See this.

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.

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