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HomeBusiness IntelligenceWhat Is Multi-tenant Analytics? | GoodData

What Is Multi-tenant Analytics? | GoodData

Multi-tenant analytics refers to an analytics platform constructed on a multi-tenant structure, which units it aside from different analytics options. Multi-tenant analytics delivers dashboards and reporting capabilities to a number of finish customers, also called tenants.


On this article, we are going to clarify how multi-tenant analytics work and the way it differs from single-tenant analytics. If you want to overview the fundamentals of multitenancy, be happy to learn our article “What Is Multitenancy?

How Does Multi-tenant Analytics Work?

As beforehand talked about, multi-tenant analytics gives a number of tenants with dashboards and reporting capabilities. Who precisely is a tenant?

Tenants could be:

  • Customers and person teams outdoors your organization who’re associated to your online business (e.g., resellers, brokers, franchise models, and so forth.)
  • Prospects (e.g., subscribers or shopper firms)
  • Customers inside your organization (e.g., departments, international enterprise models, or single customers with particular wants)

Every tenant is given entry to a devoted area the place they will analyze their knowledge and consider their dashboards.

This area is designed as a securely separated container throughout the analytics platform, which may maintain an indefinite variety of containers. These containers could also be referred to by completely different names: workspaces, views, or packing containers. On this article, we are going to seek advice from them as workspaces.

Whereas the workspace comprises a knowledge mannequin, metrics, and dashboards, it comprises solely the info that’s particular to a given tenant. This distinction is achieved via the usage of two sorts of workspaces: the grasp workspace and little one workspace. Let’s overview their functions and parts.

  • The grasp workspace serves as a template for little one workspaces. This workspace comprises a knowledge mannequin, all metrics, and dashboards that may be shared with the related little one workspaces. No finish customers are given entry to the grasp workspace.
  • The kid workspace is tenant-facing. It’s the area the place finish customers work with their dashboards. The kid workspace comprises the info mannequin, core metrics, and dashboards inherited from the grasp workspace. As we talked about earlier than, every little one workspace comprises completely different knowledge. Finish customers within the little one workspace might create their very own metrics on prime of those supplied by the grasp workspace and create their very own dashboards — with out affecting the grasp workspace.

This multi-tenant construction means that you can push updates from the grasp workspace to any of its little one workspaces. Moreover, it means that you can simply reuse workspaces, create copies of workspaces, and modify them to shortly accommodate the wants of various groups, enterprise companions, or clients.

Utilizing this construction is an environment friendly strategy to create, scale, and handle standardized and agile reporting for a broad person base. On prime of that, you may as well permit finish customers to create their very own personalized dashboards and carry out their very own knowledge and perception exploration.

This construction is particularly frequent for delivering analytics to your personal clients or finish customers outdoors your organizations (e.g., enterprise companions).

Three child workspaces are separated from one another with their own users and dashboards. The master workspace is above these three workspaces.
Finish customers within the little one workspaces work with their very own dashboards and metrics with out affecting different workspaces.

Alternatively, if you want to simply scale and handle various analytics use circumstances (e.g., departments that want essentially completely different metrics from each other), you may arrange workspaces into segments. Every section has one grasp workspace with one knowledge mannequin and one or many little one workspaces.

Four workspaces are separated in separate boxes, labeled 'segments'.
Arrange workspaces into segments to accommodate various analytics use circumstances.

No matter which multi-tenant construction you select, finish customers from one workspace can not entry knowledge and dashboards from one other workspace until you allow permissions for them  to take action. They’ll solely view the metrics and dashboards which can be related to them. The way you select to outline the construction of your workspaces relies on the distinctive wants of your organization.

Observe: The above described multi-tenant structure resolution primarily based on workspaces outlines the most effective confirmed strategy to construct sustainable multi-tenant analytics. Nevertheless, it’s not the one choice accessible. To discover different structure choices, together with per-tenant silos, shared analytical databases, and extra, be happy to learn this text.

What Are the Advantages of Multi-tenant Analytics?

Now that we perceive how multi-tenant analytics works, let’s overview its advantages.

  • Price effectivity and safety: A single analytics platform is used to handle the complete person base, which lowers the general price and optimizes knowledge and analytics administration. With a multi-tenant construction, large-scale or mid-scale analytics options are safe, manageable, and reasonably priced.
  • Scalability and administration: Analytics scaling processes are environment friendly, agile, and quick because of workspace cloning, entry provisioning, and robust governance over the construction of workspaces. Finish customers have the pliability to regulate the supplied dashboards or create their very own dashboards with out affecting different customers’ dashboards or the underlying knowledge, metrics, and settings. The corporate and knowledge groups are in management, whereas finish customers are effectively supplied with the info and perception they want.

Single-tenant Analytics vs. Multi-tenant Analytics

The primary distinction between single-tenant and multi-tenant analytics lies within the administration of analytics scaling. With a view to scale, you’ll want to effectively handle separated teams of customers in addition to their wants and use circumstances. The desk beneath gives an outline of the variations between single-tenant and multi-tenant analytics.

A chart table displaying the differences between single-tenant and multi-tenant analytics.
Single-tenant and multi-tenant analytics differ in scalability, cost-efficiency, upkeep necessities, and extra.

Utilizing single-tenant analytics for multi-tenant use circumstances is likely to be a dangerous method. There are two situations wherein this will occur:

  • Utilizing single-tenant analytics as multi-tenant analytics
  • Deploying single-tenant analytics for every tenant individually

Utilizing single-tenant structure for multi-tenant analytics results in extreme safety and privateness points. Since there aren’t any securely separated containers within the analytics platform, there’s a excessive threat of finish customers from completely different departments or firms affecting one another’s knowledge and dashboards. Deploying modifications to knowledge fashions and dashboards whereas sustaining management over the analytics resolution when there is no such thing as a person base and knowledge construction is an not possible job.

When an organization decides to deploy single-tenant analytics for every tenant individually, it wants to put in particular person workspaces of single-tenant analytics for every tenant. In comparison with the earlier situation, every tenant is given privateness and may customise their analytics as they need. Nonetheless, there are drawbacks to this method:

  • Deploying a brand new software program model for every tenant is expensive and inefficient. It will increase prices of the complete analytics resolution and will increase the time wanted to arrange the analytics for tenants.
  • Because the person base grows, it turns into troublesome to handle all of the software program variations.
  • The corporate should preserve a number of software program variations.

Which Sort of Answer Is Proper for You?

If an analytics resolution is meant to offer knowledge and dashboards to a number of teams of customers and must be managed centrally, a multi-tenant analytics platform is the higher choice for the next causes:

  • Every tenant can solely entry the info that’s related to them, which gives privateness.
  • Every tenant can customise their analytics as they need (e.g., including a brand, altering colours, altering the model of dashboards, and so forth.).
  • Every tenant acts as a separate unit, that means modifications in a single tenant’s view is not going to seem in one other tenant’s view.

Then again, if you don’t require this sort of governance, agility, and effectivity, a single-tenant analytics resolution will possible be a handy resolution to your use case.

Multi-tenant Analytics With GoodData

GoodData is a contemporary BI and analytics platform with a decade of expertise in multi-tenant environments. In case you are focused on studying extra about making a multi-tenant setting, go forward and examine it in our documentation, or get involved with us immediately by requesting a demo. Our EU and U.S. groups are joyful to provide you a free GoodData platform walk-through and reply any of your questions.



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