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MCenter
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Spell
neptune.ai
MuleSoft Anypoint Platform
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Grapple
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Coefficient.io
Algorithmia
GrappleAlgorithmia is recommended for data scientists, machine learning engineers, and developers who need a flexible and scalable environment to deploy, manage, and share AI and machine learning models. It is particularly suitable for teams seeking to collaborate and leverage pre-built algorithms from a community-driven marketplace. Businesses looking to integrate machine learning capabilities into their operations without extensive infrastructure management will also benefit from Algorithmia's offerings.
Grapple'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, Algorithmia seems to be more popular. It has been mentiond 5 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.
To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 4 years ago
And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 4 years ago
Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 4 years ago
Seems similar to https://algorithmia.com. Source: over 4 years ago
Algorithmia.com โ Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 5 years ago
MCenter - Machine Learning Operationalization
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.
5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.
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.
Spell - Deep Learning and AI accessible to everyone
Microsoft Power BI - BI visualization and reporting for desktop, web or mobile