Google Cloud Firestore is not the only option for Document Databases. Explore other competing options and alternatives. Other important factors to consider when researching alternatives to Google Cloud Firestore include security and documents. The best overall Google Cloud Firestore alternative is Amazon DynamoDB. Other similar apps like Google Cloud Firestore are MongoDB Atlas, Azure Cosmos DB, MongoDB, and Amazon Relational Database Service (RDS). Google Cloud Firestore alternatives can be found in Document Databases but may also be in Database as a Service (DBaaS) Providers or Relational Databases.
Nonrelational database for applications that need performance at any scale
MongoDB Atlas empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Azure Cosmos DB provides native support for NoSQL choices, offers multiple well-defined consistency models, guarantees single-digit-millisecond latencies at the 99th percentile, and guarantees high availability with multi-homing capabilities and low latencies anywhere in the world.
Amazon Relational Database Service (RDS) is a web service that makes it easy to set up, operate, and scale a relational DB in the cloud: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server.
Redis Software is designed for organizations that need fast, reliable in-memory database capabilities alongside the flexibility to manage their infrastructure. With sub-millisecond latency and millions of operations per second, Redis Software excels in delivering real-time performance. Built for high availability and disaster recovery, Redis Software ensures your data remains safe and accessible, providing the foundation for fast, scalable applications.
Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.
Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. Driven by the rise of IoT devices, IT systems, and smart industrial machines, time-series data, data that measures how things change over time, is one of the fastest growing data types.
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases.
Helps customers lower IT costs and deliver a higher quality of service by enabling consolidation onto database clouds.