Multi-Tenant Cloud Architecture

The virtual fabric that binds your siloed data together into one consistent set. It’s data nirvana.


So why the cloud?

Modern multi-tenant cloud architectures have completely transformed the way companies deliver and consume analytics. Today, cloud computing offers the ability to virtualize the entire BI ecosystem, keeping everyone connected to a single networked view of trusted data.

With Birst’s multi-tenant architecture, you get the cost savings, agility, and reliability that only the most modern BI platforms can deliver — and that today’s nimble enterprises need to compete. Birst can be deployed in the public cloud, in AWS, or on-premise (as a virtual appliance) with the exact same code base, upgrade path, and level of support. Enterprises can move from one deployment model to another to meet their strategic and operational goals.

Birst Multi-Tenant Cloud Architecture

Extend your BI capabilities as far and as fast as your enterprise requires with Birst cloud BI. Our enterprise BI platform is designed from the ground up as a multi-tenant system, so you can scale horizontally on demand just by adding new computing nodes. We bolster query performance through intelligent caching, pre-aggregation, and optimized SQL generation. Need to run analytics on very large data volumes? No problem. Birst leverages column-store database technology, like Amazon Redshift, and the fastest, most robust in-memory cloud database technology in SAP HANA.

Better yet, Birst can combine the two, giving you “the best of both worlds” — the low-cost, large-scale data storage of Redshift with the split-second in-memory performance (SAP HANA). Now you can meet the demands of the even largest data sets and most challenging business-user performance needs without breaking a sweat.

Birst Public Cloud

Gain all the advantages of modern cloud architectures, including BI virtualization, frequent, no-cost upgrades, scalability, and flexibility for business users and data.

  • fast-deployment

    Fast Deployment

  • lower-costs

    Lower Costs

  • rapid-time-value

    Rapid Time to Value

Leverage your existing investments by seamlessly connecting to your on-premise or cloud data systems in real time. Birst Cloud requires no installation of hardware and software and is pre-configured for automatic failover, 24/7 availability and support. As usage grows, Birst seamlessly expands server capacity to accommodate anywhere from dozens, to hundreds, or even thousands of users and huge volumes of data.

Birst’s multi-tenant architecture spreads users across an infinitely scalable pool of computing resources. Enterprises can create different logical BI instances, all with same physical infrastructure drastically improving time for iterating on BI development.

Birst Virtual Appliance

Need to deploy your BI system from your onsite data center or a private cloud? Birst makes it easy. We offer a virtual appliance built with the same platform and code base that we run in our cloud. The Birst Virtual Appliance combines scalability, high performance, and low operational costs for on-premise or private cloud environments — and with all the capabilities of a comprehensive, enterprise-grade cloud BI platform.


Birst Certified Security

Our cloud BI platform incorporates stringent data security standards to protect the privacy of your people and the safety of your enterprise data. We use state-of-the-art layered defense protocols in our data center. We enforce strict internal product controls, and regularly audit our security policies and procedures using third-party auditors.

Our systems, processes, and data centers are the only cloud analytics solutions that are certified for ISO27001 and SOC II, TYPE II. To ensure we meet global data privacy needs, we abide by EU Safe Harbor laws with data centers in North America, Europe, and APAC. We even take the additional step of enforcing application and data security at the row and column level to provide protection at every degree of detail for all your business users.

Each part of the organization can create their own reports and play with the data, while it can also be rolled up into overall management frameworks as well.

Wilmer Peres, IS Director of Big Data and Analytics, RB