The Motley Fool VS neo4j

The Motley Fool Reviews

neo4j Reviews

The Motley Fool mentions (73)

• When AI gets really good at picking stocks

  All markets require an edge. Whether you're a pro or a consumer; why do you think companies like fool.com, theinformation.com, explodingideas.co make so much? Everyones out looking for that edge. Source: 11 months ago

• 15k users signed up, 20% of them active, only pulling around $2.5k/mo, should I charge more? How can I tell what I should charge in the first place?

  There is so much hype in that space right now with every coder trying to build something using the openAI api and the open source nature makes a lot of apps in this space a race to the bottom. The code has no moat or sustainability. Therefore you need to either expand horizontally into other complimentary categories (like newsletter, more tech etc.) or vertically by offering higher end products/services. Look at... Source: 11 months ago

• Puts on ISEE seem like free money

  According to Perplexity, ISEE has been operating at a loss for several periods, according to the search results. The minutes of the 2021 annual membership meeting of ISEE, posted on isee.org, reported that the company experienced an operating loss of ($139,125) during the same period in 2019. The financials of ISEE, as reported on investing.com, showed that the basic loss per share from continuing operations was... Source: about 1 year ago

• How much money have you made off index funds over the course of your lifetime?

  All that to say, I don't know. I sold a heck of a lot of my silly fool.com buys during this market downturn to avoid capital gains, and now fully loaded on a VTI/VXUS approach. So, I'm hoping for a modest 5-6% over the decades to come. Source: about 1 year ago

• So our economy seems fucked?

  Those stats come from an article on fool.com. Source: about 1 year ago

neo4j mentions (27)

• How to choose the right type of database

  Neo4j: An ACID-compliant graph database with a high-performance distributed architecture. Ideal for complex relationship and pattern analysis in domains like social networks. - Source: dev.to / 2 months ago

• Getting Started with GenAI Stack powered with Docker, LangChain, Neo4j and Ollama

  The GenAI Stack came about through a collaboration between Docker, Neo4j, LangChain, and Ollama. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are well integrated, come with sample applications, and make it easy for developers to get up and running. The goal of the collaboration was to create a pre-built GenAI stack of best-in-class technologies that are... - Source: dev.to / 7 months ago

• How to Choose the Right Document-Oriented NoSQL Database for Your Application

  NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago

• [For Hire] Senior Developer with 14 years experience. Canadian expat in a low cost of living country | From 500 EUR per project/month

  Recently I have taken an interest in big data. https://neo4j.com/ , https://cassandra.apache.org/ , https://clickhouse.com/, https://www.elastic.co/ - are all databases I have experience with. Neo4j and Cassandra only as a hobby, but Clickhouse I have used in production, and Elasticsearch I have used for some 7 years now. Source: 12 months ago

• SQL Versus NoSQL Databases: Which to Use, When, and Why

  For organizations and their applications that are designed to detect fraud, like International Consortium of Investigative Journalists, or try to improve customer experience via personalization, as in the case of Tourism Media, a NoSQL graph database like Neo4j is a good match. In these kinds of use cases, the quantity of data we're dealing with is enormous, and the pattern we're searching for in the data is often... - Source: dev.to / about 1 year ago