What is Google Cloud Spanner?
It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
Google Cloud Spanner is a tool in the Databases category of a tech stack.
Who uses Google Cloud Spanner?
3 companies reportedly use Google Cloud Spanner in their tech stacks, including RD Station, PLAID, and Web.
9 developers on StackShare have stated that they use Google Cloud Spanner.
Why developers like Google Cloud Spanner?
Here’s a list of reasons why companies and developers use Google Cloud Spanner
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Google Cloud Spanner's Features
- Global transactions
- Strongly consistent reads
- Automatic multi-site replication
Google Cloud Spanner Alternatives & Comparisons
What are some alternatives to Google Cloud Spanner?
See all alternatives
Google Cloud SQL
MySQL databases deployed in the cloud without a fuss. Google Cloud Platform provides you with powerful databases that run fast, don’t run out of space and give your application the redundant, reliable storage it needs.
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.