ObjectBox is a super fast database and sychronization solution, built uniquely for Mobile and IoT devices. ObjectBox is uniquely designed for small devices, so it is the ideal solution across hardware from Mobile Apps, to IoT Devices and IoT Gateways. It is the first high-performance NoSQL, ACID-compliant on-device edge database. Plus, it's built with developers in mind, with easy to use code that takes minimal time to implement.
ObjectBox supports Java, C/C++, Go, Kotlin, Swift and Python. Running on Android, Mac/iOS, Windows, Linux, Raspbian & more.
Based on our record, neo4j should be more popular than ObjectBox. It has been mentiond 34 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.
When I first attempted to publish to F-Droid, I experienced several pipeline issues. After reading through the pipeline logs in GitLab, I realized that my application's database (ObjectBox) was not entirely FOSS compliant and was causing build failures. The following day was spent migrating my app to Room. - Source: dev.to / over 1 year ago
I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: about 2 years ago
Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 2 years ago
Adding ObjectBox [0] to the list. [0] https://objectbox.io/. - Source: Hacker News / almost 3 years ago
While - strictly speaking - "database" refers to a systematic collection of data, "Database Management System'', or DBMS, refers to the piece of software that provides an efficient and versatile method of working with data(eg: ObjectBox). However, often the term "database" is also used loosely to refer to a DBMS, and you will find most DBMS only use the term database in their name and communication. - Source: dev.to / almost 3 years ago
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / about 2 months ago
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / about 2 months ago
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 4 months ago
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 6 months ago
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 10 months ago
Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.
OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.