Building a multi-tenant SaaS application is a high-wire act. You must provide a secure, isolated experience for each customer while managing a single, cost-effective infrastructure that can scale to thousands or millions of tenants.
Our partitioned architecture provides effortless tenant isolation, limitless scalability, and the flexibility to evolve your product without compromising performance or security.
Stop wrestling with infrastructure complexity and start building the features that will win your next hundred—and your next hundred thousand—customers.
SaaS companies using conventional databases inevitably face a set of scaling challenges that slow down innovation and inflate costs.
In a shared database, a single large customer running a heavy query can consume all the resources, slowing down the application for every other tenant. This creates an unpredictable and unreliable user experience.
In a shared database, a single large customer running a heavy query can consume all the resources, slowing down the application for every other tenant. This creates an unpredictable and unreliable user experience.
Preventing data from one tenant from accidentally leaking to another is a critical security challenge. Implementing and maintaining this isolation at the application layer is complex, error-prone, and a constant source of risk.
Preventing data from one tenant from accidentally leaking to another is a critical security challenge. Implementing and maintaining this isolation at the application layer is complex, error-prone, and a constant source of risk.
What happens when an enterprise customer wants a custom field? Or when you want to roll out a new feature to a beta group of users? With a traditional, single-schema database, every change affects every tenant, making it nearly impossible to offer customized experiences or iterate quickly.
What happens when an enterprise customer wants a custom field? Or when you want to roll out a new feature to a beta group of users? With a traditional, single-schema database, every change affects every tenant, making it nearly impossible to offer customized experiences or iterate quickly.
SaaS companies using conventional databases inevitably face a set of scaling challenges that slow down innovation and inflate costs.
SaaS companies using conventional databases inevitably face a set of scaling challenges that slow down innovation and inflate costs.
In a shared database, a single large customer running a heavy query can consume all the resources, slowing down the application for every other tenant. This creates an unpredictable and unreliable user experience.
Preventing data from one tenant from accidentally leaking to another is a critical security challenge. Implementing and maintaining this isolation at the application layer is complex, error-prone, and a constant source of risk.
What happens when an enterprise customer wants a custom field? Or when you want to roll out a new feature to a beta group of users? With a traditional, single-schema database, every change affects every tenant, making it nearly impossible to offer customized experiences or iterate quickly.
SaaS companies using conventional databases inevitably face a set of scaling challenges that slow down innovation and inflate costs.
StatelyDB's architecture is fundamentally designed for multi-tenancy. By leveraging our partitioned data model, you can build a highly scalable and secure SaaS application from day one.
StatelyDB's architecture is fundamentally designed for multi-tenancy. By leveraging our partitioned data model, you can build a highly scalable and secure SaaS application from day one.
StatelyDB's architecture is fundamentally designed for multi-tenancy. By leveraging our partitioned data model, you can build a highly scalable and secure SaaS application from day one.
StatelyDB's architecture is fundamentally designed for multi-tenancy. By leveraging our partitioned data model, you can build a highly scalable and secure SaaS application from day one.
The key to multi-tenancy in StatelyDB is the group key. By simply including a unique tenantId as the first segment of your key path, you create a logical partition for each of your customers.
For example, a User and Document for a specific tenant might have key paths like:/tenant-acme-corp/user-123
/tenant-acme-corp/doc-xyz
All data for "acme-corp" is stored together in a dedicated partition.
The workload from "acme-corp" is completely isolated from "widget-inc." There are no "noisy neighbors."
The workload from "acme-corp" is completely isolated from "widget-inc." There are no "noisy neighbors."
It is impossible for a query for one tenant to accidentally access data from another. Isolation is enforced at the database level, not in your application code.
It is impossible for a query for one tenant to accidentally access data from another. Isolation is enforced at the database level, not in your application code.
The key to multi-tenancy in StatelyDB is the group key. By simply including a unique tenantId as the first segment of your key path, you create a logical partition for each of your customers.
For example, a User and Document for a specific tenant might have key paths like:/tenant-acme-corp/user-123
/tenant-acme-corp/doc-xyz
All data for "acme-corp" is stored together in a dedicated partition.
The key to multi-tenancy in StatelyDB is the group key. By simply including a unique tenantId as the first segment of your key path, you create a logical partition for each of your customers.
For example, a User and Document for a specific tenant might have key paths like:/tenant-acme-corp/user-123
/tenant-acme-corp/doc-xyz
All data for "acme-corp" is stored together in a dedicated partition.
The workload from "acme-corp" is completely isolated from "widget-inc." There are no "noisy neighbors."
It is impossible for a query for one tenant to accidentally access data from another. Isolation is enforced at the database level, not in your application code.
The key to multi-tenancy in StatelyDB is the group key. By simply including a unique tenantId as the first segment of your key path, you create a logical partition for each of your customers.
For example, a User and Document for a specific tenant might have key paths like:/tenant-acme-corp/user-123
/tenant-acme-corp/doc-xyz
All data for "acme-corp" is stored together in a dedicated partition.
Because each tenant's data lives in its own partition, StatelyDB can horizontally scale to support a virtually unlimited number of customers.
As you onboard new tenants, new partitions are created and distributed across the cluster. Your application's performance remains consistent and predictable, whether you have ten customers or ten million.
This architecture is the same one used by hyperscale companies to serve billions of users, as detailed in our post "Sea creatures evolve into crabs, databases evolve into DynamoDB."
Because each tenant's data lives in its own partition, StatelyDB can horizontally scale to support a virtually unlimited number of customers.
Because each tenant's data lives in its own partition, StatelyDB can horizontally scale to support a virtually unlimited number of customers.
Because each tenant's data lives in its own partition, StatelyDB can horizontally scale to support a virtually unlimited number of customers.
As you onboard new tenants, new partitions are created and distributed across the cluster. Your application's performance remains consistent and predictable, whether you have ten customers or ten million.
This architecture is the same one used by hyperscale companies to serve billions of users, as detailed in our post "Sea creatures evolve into crabs, databases evolve into DynamoDB."
Stop letting a one-size-fits-all schema limit your business model.
StatelyDB's Elastic Schema™ gives you the flexibility to evolve your data model for different customer segments without impacting your entire user base.
Deploy a new schema version with a new feature to a select group of "beta" tenants. The rest of your customers continue to run on the stable version, completely unaffected.
Deploy a new schema version with a new feature to a select group of "beta" tenants. The rest of your customers continue to run on the stable version, completely unaffected.
Create an "enterprise" version of your schema that includes custom fields or advanced data types, allowing you to tier your product offerings effectively.
Create an "enterprise" version of your schema that includes custom fields or advanced data types, allowing you to tier your product offerings effectively.
Easily accommodate enterprise customers who require specific custom fields without polluting the data model for all your other tenants.
Easily accommodate enterprise customers who require specific custom fields without polluting the data model for all your other tenants.
Stop letting a one-size-fits-all schema limit your business model.
StatelyDB's Elastic Schema™ gives you the flexibility to evolve your data model for different customer segments without impacting your entire user base.
Stop letting a one-size-fits-all schema limit your business model.
StatelyDB's Elastic Schema™ gives you the flexibility to evolve your data model for different customer segments without impacting your entire user base.
Deploy a new schema version with a new feature to a select group of "beta" tenants. The rest of your customers continue to run on the stable version, completely unaffected.
Create an "enterprise" version of your schema that includes custom fields or advanced data types, allowing you to tier your product offerings effectively.
Easily accommodate enterprise customers who require specific custom fields without polluting the data model for all your other tenants.
Stop letting a one-size-fits-all schema limit your business model.
StatelyDB's Elastic Schema™ gives you the flexibility to evolve your data model for different customer segments without impacting your entire user base.
Don't let the complexity of your data infrastructure become a competitive liability. StatelyDB provides the scalable, secure, and flexible foundation you need to build a successful SaaS business.