Google Cloud DNS VS neo4j

Google Cloud DNS Reviews

neo4j Reviews

Google Cloud DNS mentions (5)

• Understanding Amazon Route 53: An In-depth Guide

  Google Cloud DNS: This is Google Cloud's offering, designed to provide high-performance and premium networking. - Source: dev.to / 8 months ago

• Squarespace Enters Definitive Agreement to Acquire Google Domains Assets

  Google's enterprise-grade DNS is "Google Cloud DNS" [1]. It's not going anywhere. Google Domains is a consumer-grade product, in the sense that it is lacking most of the features (access control, bulk management) that a large company needs, though it was not lacking in stability / availability. And you could easily hook Google Domains up to Google Workspace to light up email for a small business. Feels like a good... - Source: Hacker News / 11 months ago

• One week and I already dislike GC

  Why not use Cloud DNS and Cloud Storage to host a static website? Source: over 1 year ago

• Taking Your Database Beyond a Single Kubernetes Cluster

  Another solution similar to DNS stubs is to use a managed DNS product. In the case of GCP there is the Cloud DNS product, which handles replicating local DNS entries up to the VPC level for resolution by outside clusters, or even virtual machines within the same VPC. This option offers a lot of benefits, including:. - Source: dev.to / over 2 years ago

• A practical guide to securing Google Workspace for a startup

  You are 100% right that the domain is the keys to the kingdom. Definitely only use registrars and DNS providers that have 2FA. Google has a registrar now, as well as DNS in GCP https://cloud.google.com/domains/docs/register-domain and https://cloud.google.com/dns. By using those you can leverage your Google account's security (use separate accounts for admin level access on GCP and enforce hardware 2FA), and... - Source: Hacker News / about 2 years 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 / 3 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 / 9 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: about 1 year 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