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Based on our record, Google Cloud Run should be more popular than neo4j. It has been mentiond 83 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.
Neo4j is a graph database that represents and stores data using graph structures with nodes, edges, and properties. - Source: dev.to / 3 days ago
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 / 4 months ago
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 / 9 months ago
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 / 10 months ago
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
In 2019, Google announced Cloud Run. This was, in essence, a managed Knative. Now, Cloud Run doesn't run on Kubernetes, but it is Knative Serving API compliant. This means that you could take a standard Knative YAML manifest and use it to deploy your containers to Cloud Run with no issue. - Source: dev.to / about 2 months ago
Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs. - Source: dev.to / 5 months ago
Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application. - Source: dev.to / 6 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago
The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default. - Source: dev.to / 11 months ago
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
AWS Lambda - Automatic, event-driven compute service
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Spot.io - Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
Fission.io - Fission.io is a serverless framework for Kubernetes that supports many concepts such as event triggers, parallel execution, and statelessness.