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BoltDB might be a bit more popular than Azure Cosmos DB. We know about 13 links to it since March 2021 and only 9 links to Azure Cosmos DB. 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.
This crate started out as just a way for me to learn how boltdb works, while learning Rust at the same time. But somehow people started finding and using it and seem to like the simple API, so I figured I might as well share it in case someone else finds it useful too. If you want to know more about my motivations and the history of this crate, you can read the release notes on version 0.8.0! Source: about 1 year ago
Some example of embeddable database could be genji, badger and boltdb. Source: over 1 year ago
Designing Data Intensive applications- specifically chapter 3 and 4 which deal with strategies and algorithms for storing and encoding data to be stored on disk and their pros and cons. Once you read that, I'll suggest reading the source of a simple embedded key-value database, I wouldn't bother with RDBMs as they are complex beasts and contain way more than you need. BoltDB is a good project to read the source of... - Source: Hacker News / over 1 year ago
Bolt db and Bolt db's author post to go with it. Source: over 1 year ago
The litestream project was created by https://github.com/benbjohnson who wrote https://github.com/boltdb/bolt (a key value store) which has been instrumental (from my point of view) in the Go community as one of the first choices for an embedded database as it had the idea of transactions and views. It was used by https://github.com/blevesearch/bleve, https://github.com/etcd-io/etcd, and number of other projects. - Source: Hacker News / about 2 years ago
If you are writing the code maybe consider learning Cosmos DB it’s pretty easy to work with and there is a free tier. Also in my experience it’s much faster than a SQL database. Source: 11 months ago
Sometimes you don’t need an entire Java-based microservice. You can build serverless APIs with the help of Azure Functions. For example, Azure functions have a bunch of built-in connectors like Azure Event Hubs to process event-driven Java code and send the data to Azure Cosmos DB in real-time. FedEx and UBS projects are great examples of real-time, event-driven Java. I also recommend you to go through 👉 Code,... - Source: dev.to / over 1 year ago
When debating the database solution for our application we were really seeking for a scalable serverless database that wouldn’t bill us for idle time. Options like AWS Athena, AWS Aurora Serverless, and Azure Cosmos DB immediately came to mind. We believed that GCP would have a comparable service, yet we could not find one. Even after consulting the GCP cloud service comparison documentation we were still unable... - Source: dev.to / almost 2 years ago
If you are looking for one to start with; you can try Cosmos: https://azure.microsoft.com/en-us/services/cosmos-db/. Source: about 2 years ago
I have had an opportunity to work on a project that uses Azure Cosmos DB with the MongDB API as the backend database. I wanted to spend a little more time on my own understanding how to perform basic setup and a simple set of CRUD operations from a Node application, as well as construct an easy-to-follow procedure for other developers. - Source: dev.to / about 2 years ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Aerospike - Aerospike is a high-performing NoSQL database supporting high transaction volumes with low latency.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.
memcached - High-performance, distributed memory object caching system
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.