Cockroach nodes were installed in the following:

1. Single host, triple nodes (containers): for evaluation on a low-end PC.

2. Single host, triple nodes (process): to test applications against a ~500GB database in-house.

3. Serverless: hosted in Google Cloud Platform (the main database).

A number of Python scripts and some Java applications are happily reading and writing to the database.

The solution allows for scaling in cases where a PostgreSQL server (unless you use sophisticated partitioning across some machines) would not be enough to handle the load. This kind of database is particularly used for backtests.

My company uses CockroachDB since it is a resilient distributed database.

We have a legal and compliance team. We have a compliance request that the personal data from the EU must stay in the EU, and the data from Singapore must stay in Singapore. CockroachDB is a distributed database system. It exactly fits our requirement to keep the data isolated. At the same time, we can have multiple instances globally. We cannot keep the nodes in different locations in a relational database like Oracle or MySQL.

We use CockroachDB as the main database to handle the high-velocity data and ensure real-time processing for a music platform. It enables the processing of a large volume of credit scoring records online within a limited timeframe. It helps us distribute the workload among nodes and create a cluster to improve performance and scalability. It is useful for applications that don't require Postgres-specific features. Also, its compatibility with Postgres makes switching between the databases easier.

CockroachDB helped us sync the nodes in a short time. 

I use CockroachDB to test big data samples and to create the best structure for databases. We have four users and required 10 people for deployment and maintenance. 

The solution is used for Kubernetes to put on database. 

We are currently evaluating this product to see if it can support distributed transactions with high availability. We are comparing it with Oracle, trying to see it can achieve the same thing.

The use case is a backend DB for an app.

The CockrorchDB is on CentOS7.x with a cloud server service.