Less Annoying CRM
HubSpot CRM
Zoho CRM
Pipedrive
Keap
Contactually
Flowlu
EspoCRM
Databricks
Google BigQuery
Jupyter
Looker
Presto DB
Informatica
Rakam
Concurrent
Less Annoying CRM is a simple CRM built from the ground up for small businesses. Manage your contacts, leads, notes, calendar, to-do’s and more, all from one simple web app. Our product is founded on three core principles: simplicity, affordability, and outstanding customer service.
Simplicity means eliminating the learning curve. You'll start using the CRM in minutes, and you won't need time-consuming, frustrating training to find your way around. Add your contacts or import them from another system and you hit the ground running. All of your tools and information are easy to find from any page in the CRM. LACRM was designed specifically to be intuitive, even for users who aren't tech-savvy.
Affordability means $15/month for each user on your account. Start with a 30-day free trial so you can decide if we're right for you. We'll never upsell you or jerk you around. That would be annoying.
Great customer service means being available by phone or email for free. We'll help you run your initial import of contacts into the CRM, talk to you about customization options, or give you a demo. We'll compliment your excellent taste in novels. We do it all for free, and we treat you like a human. Call. Email. Tweet. Whatever. We're here to help, and that goes for you trial users, too. Test us, we dare you.
Less Annoying CRM DatabricksBased on our record, Databricks seems to be more popular. It has been mentiond 17 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.
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
HubSpot CRM - Free CRM software for small businesses.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Zoho CRM - Omnichannel CRM for Businesses of all sizes
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.
Pipedrive - Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
