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Google Cloud Spanner

Scalable.
Consistent. Resilient.

Google Cloud Spanner is Google's globally distributed, strongly consistent database service designed for applications that need high availability and performance across all geographies. Spanner combines the benefits of relational databases with the scalability of NoSQL databases, offering:

Strong consistency across global nodes
High performance, low latency reads and writes
High availability and fault tolerance
Scalability to petabytes of data
Tensure is a tech consultancy that makes the most out of your data, create ground-breaking apps, and unleash the full power of the cloud.
named a Top 10
Spanner Partner
by Google Cloud
Make it a sure thing – and team up with a preferred Spanner partner like Tensure.

In a recent article released by Google Cloud, Tensure is identified by Google as a preferred Spanner partner, stating that Google Cloud collaborates closely with Tensure and other partners “to guarantee the best possible experience and support as you embark on your cloud transformation journey.”

SQL power
NoSQL scale

Migrating to Google Cloud Spanner from any of the databases below is simpler than you might think – and brings incredible benefits.
Cassandra
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Elastic
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MySQL
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Spanner Migration Strategy
Make it a sure thing.

As a Top 10 Preferred Google Spanner Partner with our roots in app dev, Tensure’s streamlined approach to Spanner migration ensures that you can successfully make the transition without any impact to your application.

1. Index

Review and optimize your schema architecture to align with Spanner’s relational model and indexing capabilities. This is crucial for non-relational database migrations and beneficial for SQL databases, ensuring efficient queries. Proper indexing reduces latency and maximizes Spanner’s performance.

2. Replicate

Begin by replicating your existing data into Google Cloud Spanner using migration tools that ensure data fidelity and minimal disruption. This step establishes a synchronized copy of your dataset in Spanner, providing a robust foundation for a seamless transition.

3. Test

Rigorously test your application with the replicated data in Spanner to validate functionality, performance, and compatibility. This ensures that all queries, transactions, and integrations operate within your defined SLAs.

4. Cutover

Transition your application to Spanner with a planned cutover, minimizing downtime and ensuring a fallback mechanism (cutback) is in place. This approach safeguards against unforeseen issues, allowing a swift reversion to the original database if necessary.

5. Maximize

Optimize your application to fully leverage Spanner's capabilities, such as global distribution, horizontal scaling, and strong consistency. Enhance performance, scalability, and resilience by leveraging Spanner’s advanced features, including Spanner Graph, Vector Search, and native integration with Big Query and Google Gemini.

All over the place—in a good way.

Ready to unleash the full potential of Spanner? Let's connect! Our team is ready to stretch with you every step of the way.