Entity Signal
emitter.io
OneSignal
NATS
Rapid.io
SignalR
Pulsar
Socket.io
ArangoDB
Redis
MongoDB
neo4j
OrientDB
Apache Cassandra
Azure Cosmos DB
CouchBase
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Based on our record, ArangoDB seems to be more popular. It has been mentiond 3 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.
ArangoDB: A native multi-model database, it offers flexibility for documents, graphs, and key-values. This versatility makes it suitable for applications requiring a combination of these data models. - Source: dev.to / 2 months ago
ArangoDB, a "multi-modal" database engine that stores arbitrary JSON documents like MongoDB, key/value data like Redis, and graph relationships like Neo4j — and lets you leverage all three kinds of data in a single query. Source: over 1 year ago
I have a bash script and a part of it is installation of arangodb.com. I want a script to install Arangodb in such a way a user won't have select any options during installation, not even specify a password. I want it to have all the default settings, default password such as 1234, even an empty password will do, default config... Everything by default and without any questions to a user. Source: about 3 years ago
emitter.io - Real-time communication service for connecting online devices.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
OneSignal - Customer engagement platform used by over 1 million developers and marketers; the fastest and most reliable way to send mobile and web push notifications, in-app messages, emails, and SMS.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
NATS - NATS.io is an open source messaging system for cloud native applications, IoT messaging, Edge, and microservices architectures.
neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.