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Why Choose Databrain?

Databrain delivers a cutting-edge embedded analytics solution for the AI era, seamlessly blending powerful data visualization with intuitive AI-driven insights.

  • SOC 2 Type 2
  • ISO 27001
  • GDPR
  • Metadata-only storage
  • Cloud or on-prem

Why customer-facing analytics stalls

Every SaaS team reaches the same fork: build analytics in-house, or bolt on a BI tool made for internal analysts. Both look cheaper than they are.

Build it in-house

A project that is never done

  • Every new customer request becomes another engineering ticket.
  • Multi-tenancy, permissions and exports take months before the first chart ships.
  • The work competes with your roadmap, and the roadmap usually wins.

Retrofit internal BI

Built for analysts, not your customers

  • Dashboards arrive in an iframe and look like someone else's product.
  • Per-seat or capacity pricing climbs as your customer base grows.
  • Multi-tenancy is an afterthought you configure tenant by tenant.

Databrain is the third path

Purpose-built for multi-tenant SaaS: native web components in your app, one tenant model for every customer, and a flat price. Our customers handed back 6 to 9 months of engineering by not building it themselves.

Explore the platform

Why Databrain?

Deliver exceptional analytics with Databrain, a platform designed to empower SaaS businesses with intuitive, customer-facing insights. Our analytics tool combines scalability, simplicity, and actionable insights to drive engagement and retention. Databrain's multi-data source capabilities ensure you deliver consistent and personalized experiences across all tenants with ease.

How Databrain fits your stack

Databrain sits between your warehouse and your product. Your data stays where it is; every tenant only ever sees its own rows.

  1. Your warehouse stays the source

    Queries run live against Snowflake, BigQuery, Postgres, Redshift, Databricks or ClickHouse. Databrain stores metadata only: schemas and dashboard configs.

  2. One model, every tenant

    Your backend requests a short-lived guest token per customer. The tenant filter is applied to every query, so row-level security is enforced in SQL, not in the browser.

  3. Native in your product

    Dashboards and AI answers render as web components in React, Next.js, Angular or Vue, styled to your brand with no Databrain logo.

Databrain competitors at a glance

CapabilityPower BITableau
Ease of useHighModerateModerate
Multi-tenant supportYesLimitedLimited
Scalable architectureHighHighModerate
Shared metrics reuseYesYesYes
Cost transparencyHighModerateLow

Databrain vs. competitors

Unlike other BI tools, Databrain is purpose-built for SaaS providers and businesses managing multi-tenant analytics. With a focus on simplicity, scalability, and multi-data source integration, Databrain enables you to:

  • Onboard new clients faster by reusing dashboards and metrics.
  • Seamlessly switch between data sources with identical schemas.
  • Ensure consistent analytics across all tenants, without duplication.

A purpose-built solution for multi-tenant analytics

  • Instant client switching

    Switch between client data sets with a simple dropdown, avoiding the need to replicate dashboards for every tenant.

    Explore embedded analytics
  • Multi-data source connections

    Connect unlimited data sources to a single workspace, provided schemas are identical. This ensures centralized management and consistent analytics across clients.

    See the developer setup
  • Row-level security

    Protect data by enforcing granular access controls to isolate tenant-specific information.

    Read about security

Scalable and easy to use

Databrain delivers SaaS-ready analytics without the complexity of traditional tools. Our platform is:

Intuitive

Designed for non-technical users to create, manage, and share dashboards effortlessly.

Self-service analytics
Flexible

Supports all major databases, ensuring compatibility with your existing infrastructure.

Embedded analytics
Scalable

Grows with your business, from startups to enterprise-scale SaaS solutions.

Flat, published pricing

Customer success story: SaaS Business Transformation

We cut down on 6 months of work for our data analysts and saved around $300k by maintaining a smaller, more efficient team, avoiding the need to hire extra analysts just to handle ad-hoc reports.

AjayChief Technology Officer, Spendflo
Cost saved
$300K
To production
2 weeks
Engineering avoided
6 months

Discover why Databrain outshines the competition

With Databrain, you can streamline multi-tenant analytics, reduce development overhead, and provide consistent, actionable insights for all your clients.

Frequently asked questions

What is Databrain?

Databrain is an embedded analytics platform for B2B SaaS companies. It connects to your database or warehouse, such as Snowflake, BigQuery, Redshift or Postgres, lets your team build dashboards and metrics, and renders them inside your product as white-labeled web components, with each customer's view scoped to its own tenant by a server-issued guest token. Your customers can also ask questions in plain English inside the embed. Pricing is flat, from $999 a month.

Why do SaaS companies choose Databrain?

SaaS companies choose Databrain because it is built for customer-facing, multi-tenant analytics rather than internal BI. The tenant model is defined once in a datamart and applied through server-issued guest tokens, dashboards render as web components styled to your brand with no Databrain logo, and pricing is flat with unlimited tenants. Published customers Freightify, Spendflo and SpotDraft reached production in 1, 2 and 4 weeks.

Should we build or buy embedded analytics?

Buy embedded analytics unless the analytics itself is the product you sell. In an in-house build the charts are the quick part; multi-tenant isolation, row-level security, SSO, white-labeling, caching and ongoing maintenance are what take months and pull engineers off your roadmap. Databrain's five published customers each avoided 6 to 9 months of engineering and $100,000 to $300,000 in cost, and teams typically reach production on Databrain in 2 to 4 weeks.

What are the best Databrain alternatives?

Tools buyers compare with Databrain include Luzmo, Omni, GoodData and Qrvey, the open-source options Metabase and Apache Superset or Preset, and BI platforms with embedding such as Power BI Embedded, Tableau and Looker. They differ most on how tenant isolation is enforced, how complete the white-label is, and the billing unit: Databrain charges a flat fee with unlimited tenants, while Luzmo charges a platform fee plus usage, Metabase bills per signed-in user and Power BI Embedded bills by capacity.

Does Databrain work if each customer has its own database?

Databrain supports both common SaaS tenancy designs: shared tables with a tenant ID column, and a separate schema or database per customer. For shared tables you map the tenant column once in the datamart; for per-customer databases, metric SQL references a database variable that resolves from the customer's guest token. In both cases you build a dashboard once and embed it for any customer by passing that customer's ID in the token.

Who uses Databrain?

Databrain is used by B2B SaaS companies that ship analytics to their own customers, including Spendflo in procurement, SpotDraft in legal tech, Freightify in logistics, EpochOS in mortgage software and BerryBox in insurance and employee benefits. Their published case studies report going live in 1 week (Freightify) to 4 weeks (SpotDraft) and savings from $100,000 (EpochOS) to $300,000 (SpotDraft and Spendflo).

Make embedded analytics your competitive advantage.

Get in touch with us and see how Databrain can take your customer-facing analytics to the next level.

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