Google Cloud Spanner vs TokuMX: What are the differences?

## Introduction
Google Cloud Spanner and TokuMX are both popular databases, but they have key differences that set them apart.

## 1. Scalability:
Google Cloud Spanner is fully managed and offers global scalability with strong consistency guarantees, making it suitable for large-scale and global applications. In contrast, TokuMX is a distributed database system that is designed for high performance but may not offer the same level of scalability as Spanner.

## 2. Data Model:
Google Cloud Spanner supports SQL queries and ACID transactions, making it easier for developers to work with. On the other hand, TokuMX is a document-oriented database that uses JSON-like documents for storing data, which may be more suitable for applications that require flexibility in data schema.

## 3. Secondary Indexes:
Google Cloud Spanner supports secondary indexes, which allows for efficient querying of data. TokuMX also supports secondary indexes but is optimized for high write throughput, which may impact query performance in certain scenarios.

## 4. Consistency Model:
Google Cloud Spanner uses a distributed, horizontally scalable architecture with a global, strong consistency model. TokuMX uses a single-master replication model with eventual consistency, which may be sufficient for some applications but may not offer the same level of consistency as Spanner.

## 5. Automated Maintenance:
Google Cloud Spanner provides automated backups, monitoring, and maintenance, reducing the operational burden on developers. TokuMX also has some automated maintenance features but may require more manual tuning and monitoring in comparison to Spanner.

## 6. Pricing:
Google Cloud Spanner follows a pay-as-you-go pricing model based on usage, while TokuMX is available under a community edition license with the option to upgrade to a paid version for additional features and support.

In Summary, Google Cloud Spanner and TokuMX differ in terms of scalability, data model, secondary indexes, consistency model, automated maintenance, and pricing models.