Observable VS Grapple
Compare Observable VS Grapple and see what are their differences
Generate professional standard operating procedures in minutes. AI-powered SOP creation built on 10,000+ industry procedures.
featured
Observable
D3.js
Jupyter
Medium
Vega-Lite
Vizzu
Looker
Productivity Power Tools
Grapple
Looker
Tableau
Microsoft Power BI
DataPalo
Datakit.page
Google Data Studio
Coefficient.io
Observable GrappleGrapple's answer:
Grapple is built for small to medium-sized companies who haven't successfully implemented traditional BI software like Looker, Power BI, Tableau, or other solutions like DataRails and Domo. Traditional BI software requires a lot of technical knowledge to setup, maintain, and they often make it really difficult for less technical users to customize. This means your dashboards either 1) don't work, or 2) aren't flexible and easy to use enough to let operators adjust them as they need during the course of businesses.
Grapple is designed from the beginning for non-technical operators across marketing, sales, and finance.
Grapple's answer:
Grapple is great for data savvy operators who love working with data. We're particularly helpful for companies with 25 to 500 employees who serve other businesses (B2B) and are focused on improving their CRM analytics and SaaS metrics. If you're using apps like Salesforce, Hubspot, Zendesk, Stripe, or Asana, Grapple is for you!
If you want to write data notebooks in python or SQL and want under-the-hood control of your data stack, Grapple is not for you. We recommend you try Omni or Hex.
Grapple's answer:
Jack, co-founder/CEO, had the idea for Grapple a couple years ago after spending almost a decade building in Tableau, Looker, Google Data Studio, Trevor.io, and the list goes on! Jack spent a lot of time collaborating with non-technical users in sales, marketing, bizops, finance on dashboards and after one particularly simple report that was still difficult to generate, he thought there must be a better way! Turns out, most data platforms require a ton of other tools and a ton of other people all of which are slow and expensiveโdelaying your time-to-insight. Jack had the idea to compress the data stack into a single tool, that maybe couldn't do everything, but would be the fastest, easiest way to pull the types of reports he pulled all the time over the last 10 years. Fast-forward to today, Andrew joined as co-founder/CTO and Grapple is now generally available and includes a suite of AI features to take Grapple's speed and ease of use even further. Let us know what you think!
Grapple's answer:
Grapple is a fully vertically integrated data platform and does not require any additional tooling. Unlike competitors Looker and PowerBI, Grapple includes everything you need to get started. Frustrated by your slow data team? Get started with Grapple right away.
In nerd speak, Grapple seamlessly bundles the following tools, you won't even need to manage them: - An ETL and data warehouse for centralizing your data - Automatic data modeling so your data is queryable right away - Visualization and analytics UI
And on top of all that, Grapple provides modern functionality too: - Unlimited Viewers: share your dashboards with as many users as you want, just like a Google Docs - AI/Natural Language: customize your dashboard with natural language instead of SQL or spreadsheet formulas - Straightforward pricing: pay as you go with monthly per user pricing
Grapple's answer:
Grapple's application layer is written in React + Laravel and under the hood uses a mixture of PostgreSQL and No-SQL to deliver data warehousing and analytics capabilities.
Based on our record, Observable seems to be more popular. It has been mentiond 340 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.
The Pulse #119: Are LLMs making StackOverflow irrelevant? https://newsletter.pragmaticengineer.com/p/the-pulse-134 The Fall of Stack Overflow https://observablehq.com/@ayhanfuat/the-fall-of-stack-overflow. - Source: Hacker News / 3 days ago
That's fair, I generally make charts for publication, so I spend much more time and effort on the details. But I can understand this being useful for quick exploration for some people. Generally speaking, I suggest anyone interested in learning to make charts get familiar with grammar of graphics [0] libraries like Vega-Lite, Observable Plot, ggplot2, Altair. There is a bit of a learning curve if you're used to... - Source: Hacker News / 12 days ago
I am building in the language learning sector, and this test is almost certainly not accurate (depending on what you want to measure). It's fun and cool though. But basically this is all based on a frequency list, which itself depends on the corpus. I have not been able to find a good corpus of English which is representative of modern spoken English. Spoken english depends on your age range and subculture and and... - Source: Hacker News / about 1 month ago
I once tried to fully analyze the amazing NTSC emulation used in OpenEmulator. I went down a rabbit hole that involved losing motivation several lessons in to a signal processing class on YouTube, but for those interested, I did at least pull quite a lot of it apart here: https://observablehq.com/@zellyn/apple-ii-ntsc-emulation-openemulator-explainer I also ported it to JavaScript (linked from above page). - Source: Hacker News / about 1 month ago
Pluto is great. I use it all the time. If you like the reactivity/reproducibility but are wedded to Python, you might want to check out Marimo, which is also great. [https://marimo.io/] It too puts the output of a cell above the code so if you're unable to adapt to things that are different it's also probably not for you. FWIW, Observable's Notebooks (Javascript) work the same way: output above the code... - Source: Hacker News / about 2 months ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
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.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Medium - Welcome to Medium, a place to read, write, and interact with the stories that matter most to you.
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile