Pipedrive VS Metaflow

Pipedrive Reviews

1. Pieter Jan    

   Co-founder at Vizito | almost 2 years ago
   The best CRM for our SaaS business

   Pipedrive has made our business much more efficient in following up deals. Keep track of deals, meetings, mails and phone calls all in one place. We can quickly follow up on offers and used Pipedrive's automations and API to integrate our Vizito trials directly into Pipedrive.

   It offers the most flexibility while maintaining an easy-to-use interface and their support is superb!

   Keep up the great work!

   🏁 Competitors: HubSpot CRM, Teamleader

   👍 Pros:    Easy to use|Quick and easy|Stable|Easy integration|Api integration|Rest api|Cost-efficient
2. jeet998    

   Chief Manager at Entab Infotech Pvt Ltd | over 4 years ago
   Best CRM Software: PipeDrive

   All alternatives are good but we prefer Pipedrive because of its great customization and most fit for company/business development.

Metaflow Reviews

Pipedrive mentions (2)

• Why doesn't Microsoft have a better CRM product...?

  I feel like Microsoft could offer a more robust CRM than what's present with 'Contacts' under Outlook, and pretty easily. Something like Pipedrive... I mean it could syncronize all the datapoints that local Microsoft programs already have access to: mail, contacts, projects, teams, and LinkedIn. Source: over 1 year ago

• Building Reach in Public

  Pipedrive → our CRM for tracking leads, tasks, conversations, and deals. We chose Pipedrive because it does a good job of providing an intuitive and relatively simple CRM while still having enough features to track our sales conversations. Pricing is accessible. Source: about 2 years ago

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: almost 1 year ago

• Needs advice for choosing tools for my team. We use AWS.

  1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago

• Selfhosted chatGPT with local contente

  Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago

• [OC] Gender diversity in Tech companies

  They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago