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Keep Amazon QuickSight for internal reporting if it already works there. The two are not mutually exclusive: Databrain can serve the customer-facing layer while QuickSight stays internal.
No published Databrain case study replaced Amazon QuickSight, so this is the closest evidence we have: two teams that replaced another BI tool (Looker, Metabase) for customer-facing analytics. Figures and quotes are taken from each published case study. Two customers is a small sample.
Contract management SaaS, replaced Looker
“We now offer our customers extensive insights out of the box, sparing them the pain of creating their own metrics, all while ensuring they have a seamless experience.”
Freight pricing platform, replaced Metabase
“Databrain allowed us to create a fully custom analytics module. Anybody in the org was now able to create metrics and share data with their tool”
The short version of Databrain and Amazon QuickSight side by side.
| Databrain | Amazon QuickSight | |
|---|---|---|
| Built for | Multi-tenant B2B SaaS products embedding customer-facing analytics | A managed AWS BI service for dashboards, reports and ML insights, with embedding on the Enterprise edition |
| How it embeds | Web components for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS | An IAM-signed embed URL, the Amazon Quick Sight Embedding SDK, or a 1-click iframe code |
| How tenants are scoped | clientId in a server-minted guest token; one data app serves every tenant | Namespaces, with row-level security by user rules or, for anonymous embedding, session tags |
| Who needs a licence | Unlimited seats on every plan | Per-user roles (Reader $3, Author $24 a month) or session capacity for anonymous embedding |
| Pricing model | Flat and published: $999/mo Growth, $1,995/mo Pro, Enterprise custom | Per-user or capacity: from $250/mo for 500 sessions, annual tiers up to 3,000,000+ sessions |
| Query model | Live queries against your warehouse | Direct query or SPICE in-memory import |
| Deployment | Databrain cloud, or self-hosted on Enterprise | Managed AWS service; no self-hosted option in the documentation we read |
| Typical time to production | 2 to 4 weeks for most teams; SpotDraft 4 weeks, Freightify 1 week | AWS publishes no figure |
Databrain is an AI-native embedded analytics platform for B2B SaaS. You connect your warehouse with read-only access, set the tenant column, mint a guest token from your backend, and place a web component in your app.
Dashboards are white-labeled, and customers can ask questions in natural language.
Amazon QuickSight is AWS's managed BI service, now branded Amazon Quick Sight inside Amazon Quick. It covers dashboards, pixel-perfect reports, ML insights and natural language questions, and it embeds dashboards, visuals, the Q&A experience and the full authoring console in your application.
Embedding needs the Enterprise edition. Your application server calls an AWS embedding API with an IAM role and receives a signed URL, which you load through the Embedding SDK or an iframe.
QuickSight embedding runs on AWS primitives: IAM permissions for the calling identity, an allow list of up to 100 HTTPS domains, and an API call that returns a signed URL. Databrain needs an API token on your server, a guest token per session and an origin allow list. QuickSight's route is well documented and fits a team that already runs on AWS.
In QuickSight a tenant is a namespace, a set of registered users, or, for anonymous embedding, a set of session tags that drive row-level security. In Databrain a tenant is the clientId in a guest token, and one data app serves all tenants.
QuickSight gives you themes and runtime theme overrides through the Embedding SDK. Databrain gives you web components in your page with four configuration layers.
QuickSight bills per user role or per 30-minute session, plus SPICE storage and an account infrastructure fee in some configurations. Databrain is a flat monthly price by feature, with unlimited seats, embeds and tenants.
QuickSight is the broader platform, with ML-powered forecasting and anomaly detection, pixel-perfect reports and the compliance programs AWS lists. Databrain is a narrower embedding layer, which is the point if embedding is all you need.
Eighteen capabilities that decide a customer-facing analytics build, Databrain against Amazon QuickSight. QuickSight cells cite AWS's own documentation and pricing page, opened on 22 October 2026. Databrain cells cite our pricing page, Trust Center and product docs. Where QuickSight is stronger, the cell says so.
| Capability | Databrain | Amazon QuickSight |
|---|---|---|
| Embedding and branding | ||
| Yes: Web components in your page | Yes: Signed embed URL, Embedding SDK, 1-click code | |
| Whether the analytics surface is part of your page or a signed document your page hosts. | <dbn-dashboard> and <dbn-metric> render in your page from the Databrain plugin. An iframe route exists and our docs mark it as not recommended. | AWS documents embedding dashboards, visuals, the Q&A experience and the full console through embedding API operations that return a signed URL, which the Embedding SDK loads. A 1-click embed code, copied from the Share menu, produces an iframe for registered or public users. Embedding requires the Enterprise edition. |
| Yes: Seven framework guides | Yes: Embedding SDK on npm and GitHub | |
| How much glue code your team writes per framework. | Guides for React, Next.js, Angular, Vue, Svelte, Solid and vanilla JS, all against the same component. | AWS publishes the amazon-quicksight-embedding-sdk, which sets defaults, connects controls, returns callbacks and handles errors, and lets developers add datapoint callback actions to visuals at runtime. AWS lists no framework-specific guides on the pages we read. |
| Yes: Four configuration layers, per-customer themes | Partial: Themes and runtime overrides | |
| Whether "matches our design system" is a token map and a plan feature, or a theme file plus a commitment. | Chart appearance, admin theme options, custom chart settings and saved metric settings resolve in a fixed priority order. White-labeling and custom UI themes per customer are on every plan; email white-labeling is on Pro and Enterprise. | The Embedding SDK (2.5.0 and higher) can set a theme by ARN or apply a theme override at runtime, for example a font family, and can preload up to five themes. AWS's pricing page lists removing the "Powered by Quick" branding as a benefit of annual capacity commitments. |
| Server-minted guest token with a TTL | IAM role, signed URL, allow-listed domains | |
| Whether adding an embedding surface is an IAM change or a token and an origin. | Your backend mints the guest token with an expiry. Databrain validates the token, its expiry, the request origin and the permissions server-side. | Your application assumes an IAM role and calls GenerateEmbedUrlForRegisteredUser or GenerateEmbedUrlForAnonymousUser. An administrator must allow-list the hosting domains, up to 100, which must use HTTPS. In AWS's anonymous embedding sample the session lifetime can be set from 15 to 600 minutes. |
| Partial: End-user report creation on Enterprise | Yes: Embed the full authoring consoleAmazon QuickSight leads here | |
| If your customers must build analyses, not only read them, QuickSight documents a full embedded authoring route. | End-user report creation is an Enterprise feature on our pricing page. | QuickSight can embed the full console for registered users, so authors build analyses inside your application. Those users must be registered as Quick Sight authors or admins in your AWS account. |
| Multi-tenancy and security | ||
| Yes: One data app, scoped by clientId | Yes: Namespaces on Enterprise | |
| Whether a tenant is a value in a token or a directory of users and permissions you maintain. | One data app serves every tenant. Tenancy can be a shared table with a tenant column, a schema per tenant or a database per tenant. Most teams run one workspace, per our docs. | A namespace is a logical container for clients, subsidiaries or teams. Users in one namespace cannot see or interact with users in another in the end-user console, and assets such as datasets and dashboards sit outside any namespace and are shared explicitly. AWS notes custom namespaces are accessible only to IAM federated single sign-on users, and users cannot be transferred directly between namespaces. |
| Pass a clientId | Register users, or pass session tags | |
| The per-tenant step your onboarding automation has to perform. | A new tenant's data is scoped as soon as your backend mints a guest token with its clientId, provided the tenant column or schema exists. | For registered users, you create a namespace, register each user with RegisterUser and share the dashboards with them. For anonymous embedding, you pass a namespace, the authorized dashboard ARNs and session tags in each API call, and AWS says this needs a session pack or session capacity pricing. |
| Yes: Tenant filter injected for builder metrics | Yes: User rules or session-tag rules | |
| Both are real row-level security. The difference is which embedding mode each rule type works in. | For builder metrics Databrain injects the tenant filter into the generated query server-side. Per-session constraints go in rlsSettings in the guest token. Row and column level security rules are an Enterprise feature. | QuickSight restricts a dataset with user or group rules from a permissions dataset, or with tag-based rules for unregistered users. AWS states tag-based rules work only for anonymous embedding with GenerateEmbedUrlForAnonymousUser, not for registered-user embedding, and not with the IAM or Quick identity types. |
| Partial: SOC 2 and GDPR compliant; ISO 27001 in progress | Yes: FedRAMP, HIPAA eligible, PCI DSS, SOC, ISO 27001Amazon QuickSight leads here | |
| If a buyer's procurement list names FedRAMP, PCI DSS or HIPAA, AWS lists them for QuickSight and Databrain does not yet. | Databrain's Trust Center lists SOC 2 and GDPR as compliant and ISO 27001 as in progress, and our pricing page lists HIPAA as coming soon on Pro and Enterprise. | AWS lists Amazon Quick as in scope for FedRAMP, PCI DSS, SOC 1, 2 and 3, ISO 9001, 27001, 27018 and 27019, BSI C5 and HITRUST CSF, and as a HIPAA Eligible Service with an AWS Business Associate Addendum in place. AWS adds that in-scope status does not make your own workloads compliant. |
| Yes: Cloud, or self-hosted on Enterprise | Partial: Managed AWS service | |
| Customers who require the analytics layer inside their own infrastructure need an option QuickSight does not document. | Cloud, or self-hosted in your own infrastructure on Enterprise, with VPC peering and a bastion host. Multi-region deployment is also an Enterprise feature. | QuickSight runs as a managed AWS service, with private VPC subnets and AWS CloudTrail auditing listed among its security features. Embedding needs an IAM role in the AWS account that holds the Quick subscription. We found no self-hosted option in the documentation we read. |
| Data, AI and reporting | ||
| Partial: Live queries; caching on Pro and up | Yes: Direct query or SPICEAmazon QuickSight leads here | |
| If you want data held in an in-memory store instead of queried live, QuickSight offers it. | Every surface queries your warehouse live through the same tenant-scoped path. Caching is available on Pro and Enterprise. | A dataset can use SPICE, QuickSight's in-memory engine, or a direct query. AWS says SPICE speeds queries and data stored there can be reused without extra per-query source charges. Each SPICE dataset on Enterprise supports a maximum of 1 billion rows per 1 TB. |
| Yes: Warehouses and databases, live | Yes: AWS sources plus Snowflake, BigQuery and more | |
| Confirm your exact warehouse in both lists before you commit. | Snowflake, BigQuery, Redshift, Databricks, ClickHouse, Postgres, MySQL, MSSQL, Athena, Trino, MongoDB, Elasticsearch and more. Growth includes one data source; Pro and Enterprise are unlimited. | AWS lists Athena, Aurora, Redshift, S3, OpenSearch, Databricks, Google BigQuery, Snowflake, Trino, Teradata, Oracle, SQL Server, MySQL, PostgreSQL and others. Amazon Redshift clusters, Athena databases and RDS instances must be in AWS. |
| Yes: Forecasting on Pro, more on Enterprise | Yes: ML forecasting and anomaly detectionAmazon QuickSight leads here | |
| Both cover the common cases. QuickSight documents the deeper ML toolset. | Drill-down and forecasting are on Pro and Enterprise. Forecasting, outlier detection, predictive algorithms and recommendations are listed on Enterprise. | AWS documents ML-powered forecasting, what-if scenarios and ML-powered anomaly detection with contribution analysis, and threshold or ML anomaly alerts priced per metrics evaluated. What-if analysis runs in an analysis, not a published dashboard. |
| Yes: Natural-language search on every plan | Yes: Embeddable Generative Q&A | |
| Check whether the natural-language feature is in the plan price or metered per question. | Natural-language search is included on every plan, and follow-up chat on Pro and Enterprise. Connect OpenAI, Azure OpenAI, Claude, Gemini, Llama or Mixtral. | AWS documents embedding the Generative Q&A experience for registered and anonymous users, built on Q topics. AWS's pricing page bills Amazon Q questions by capacity (from $250 a month for 500 questions) and lists a $250 a month account infrastructure fee when Q&A is enabled via topics. |
| Email schedules with chosen charts | Yes: Email schedules and pixel-perfect reportsAmazon QuickSight leads here | |
| QuickSight recipients must belong to your Quick subscription, which matters if your end customers are not registered users. | Our scheduler lets you pick charts to attach, add recipient emails, choose clients, and set daily, weekly or monthly delivery. A preview-link flow lets end users set up scheduled email reports. | QuickSight emails a dashboard on a schedule (once, daily, weekly, monthly, yearly or custom) to users or groups in your Quick subscription who have the dashboard shared with them, with row-level and column-level security applied to each snapshot. Up to five schedules per dashboard and up to 5,000 members per email. Pixel-perfect report sheets are priced separately. |
| Yes: Export, import and move | Yes: Asset bundle export and import jobs | |
| How you promote dashboards between environments. | Export a dashboard as JSON from the UI, or by API with a source client, then import it, or move an internal dashboard to another workspace with an option to keep a copy. | AWS documents asynchronous export and import jobs through the Asset Bundle API operations. A .qs bundle holds asset definitions and dependencies, not the data inside them, and bundles from other Quick Sight accounts can be imported. |
| Commercial | ||
| Yes: Flat and published | Per user role or per 30-minute session | |
| One of these bills is a flat number you can read today; the other depends on sessions, roles and storage. | Growth $999/mo, Pro $1,995/mo, Enterprise custom. Seats, embeds and tenants are unlimited on every plan. | Reader is $3 a month and Author $24 a month per user. Reader session capacity starts at $250 a month for 500 sessions, then annual tiers up to 1,600,000 sessions at $258,000 a year, with additional sessions at the tier rate ($0.16 at the top published tier) and custom pricing above 3,000,000. A session is a 30-minute period. SPICE is $0.38 per GB per month. |
| Yes: Included by plan | Account fee plus Q capacity | |
| Add the optional line items to the quote, not just the session tier. | Natural-language search is on every plan, and follow-up chat is on Pro and Enterprise. Our pricing page lists no per-question or per-session charge. | AWS lists a $250 a month per-account infrastructure fee when an account has any Pro user or has Q&A enabled via topics, and bills Amazon Q questions by capacity: $250 a month for 500, or $18,000 a year for 60,000. |
Tenant isolation is the hardest part of customer-facing analytics, and Databrain and Amazon QuickSight solve it in different places. QuickSight puts it in namespaces, registered users and row-level security rules in an AWS account. Databrain puts it in the token and the generated query.
Your backend mints a guest token that carries the tenant clientId. The embed sends that token with each request. Databrain looks it up server-side, checks expiry, origin and permissions, then generates SQL with the tenant filter applied before the query reaches your warehouse. One data app serves every tenant, and extra per-session constraints go in rlsSettings.
One sharp edge: in custom SQL metrics the tenant filter is not auto-injected, so the author must reference the tenant variable. A custom metric that omits it runs unscoped.
Databrain's Trust Center lists SOC 2 and GDPR as compliant and ISO 27001 as in progress, with HIPAA coming soon on our pricing page. Compare the lists above against your buyers' requirements.
QuickSight supports multitenancy on the Enterprise edition through namespaces, logical containers for clients, subsidiaries or teams. In the end-user console, users in one namespace cannot see or interact with users in another. Datasets, data sources and dashboards exist outside any namespace and are visible only to users who have been granted permissions.
Row-level security comes in two forms. User-based rules use a permissions dataset with rules per user or group, for registered users. Tag-based rules use session tags passed when you embed for anonymous users, and AWS states they work only with GenerateEmbedUrlForAnonymousUser.
Two caveats from AWS's own docs: custom namespaces are accessible only to IAM federated single sign-on users, and anonymous embedding needs a session pack or session capacity pricing, otherwise the API returns an error.
AWS lists FedRAMP, PCI DSS, SOC 1, 2 and 3, ISO 27001, HITRUST and HIPAA eligibility as programs that include Quick, with the shared responsibility model applying to your own workloads.
clientId and your data app name.POST /api/v2/guest-token/createGenerateEmbedUrlForAnonymousUser with a namespace, authorized dashboard ARNs, allowed domains and session tags.Both are real tenant isolation; the difference is whether a tenant is a namespace, users and rules inside an AWS account or a value in a token.
Both lists are genuine. If your situation matches the Amazon QuickSight side, that is the right call.
Match your situation to the row, then check the feature comparison for the detail.
| If your question is | Lean toward | Because |
|---|---|---|
| The viewer is your customer, not your colleague | Databrain | Customer-facing embedding, per-customer themes and no per-viewer cost are what Databrain is built for. |
| Many tenants with self-serve onboarding | Databrain | Tenant scope comes from a guest token, and one data app serves all tenants. |
| The dashboard must match your product UI | Databrain | Web components and four configuration layers. QuickSight supports themes and runtime overrides too, so check both against your design system. |
| You are all-in on AWS and need IAM, CloudTrail and native sources | Amazon QuickSight | QuickSight is an AWS service with IAM-based embedding, CloudTrail auditing and native AWS sources. |
| You need FedRAMP, PCI DSS or HIPAA eligibility | Amazon QuickSight | AWS lists these for Quick. Databrain lists SOC 2 and GDPR as compliant, with ISO 27001 in progress and HIPAA coming soon. |
| You need ML forecasting, anomaly detection or SPICE | Amazon QuickSight | QuickSight documents all three. Databrain lists forecasting on Pro and Enterprise, and outlier detection and predictive algorithms on Enterprise. |
| Customers must author analyses inside your app | Amazon QuickSight | QuickSight can embed the full console for registered authors. Databrain's end-user report creation is Enterprise. |
| You need forecastable spend from a published price | Databrain | A flat monthly plan with unlimited seats, embeds and tenants. |
| You need to self-host the analytics layer | Databrain | Databrain offers self-hosting on Enterprise. We found no self-hosted option for QuickSight. |
A flat plan and per-role or per-session billing are different shapes of bill, so compare both against a quote at your own session or tenant count. Neither is cheaper in every case.
Growth includes multi-tenancy and 1 data source. Pro adds unlimited data sources, SSO and roles and permissions. Enterprise adds self-hosting, multi-region deployment, VPC peering and bastion host, 24x7 premium support, a 99.5% uptime SLA and a dedicated account manager. Support on every plan runs through Slack, MS Teams, Google Spaces and in-app chat.
AWS describes capacity pricing as ideal for embedded applications or large-scale BI deployments, and says anonymous embedding needs a session pack or session capacity. A session is a 30-minute period. AWS lists removing the "Powered by Quick" branding as a benefit of annual capacity commitments. Amazon Q questions and pixel-perfect reports are priced separately.
Amazon QuickSight prices are the list prices on AWS's pricing page, read on 22 October 2026, and AWS offers custom pricing for larger use cases. Databrain prices are from the pricing page.
Keep QuickSight for internal reporting if it works there. The move is for the customer-facing layer. Most teams finish in 2 to 4 weeks, SpotDraft in 4 and Freightify in 1, and you can run both side by side until you cut over.
List the highest-traffic dashboards and the datasets and SPICE refreshes behind them.
QuickSight asset bundles hold dashboard and dataset definitions, not data, so use them as a reference for the rebuild.
Connect to Databrain with read-only access, and set the tenant column.
Rebuild them as Databrain metrics, using drag and drop, custom SQL or natural language.
From your backend, create a token with each customer's clientId, replacing the signed embed URL, session tags and namespace.
Replace the QuickSight embed with a Databrain web component for a pilot group and run both.
Move the remaining tenants, then retire the QuickSight namespaces, session packs and datasets you no longer need.
Plan to recreate dashboards rather than import them: we document no automated QuickSight importer. No published Databrain customer has migrated from QuickSight. The range comes from the published SpotDraft and Freightify case studies, and a full multi-tenant white-label rollout sits at the top of it.
Yes, for customer-facing analytics inside a SaaS product. Databrain renders as web components, scopes each tenant from a guest token and charges a flat monthly plan. It is not a replacement for QuickSight as an AWS-native BI service with ML insights and AWS compliance programs, so keep QuickSight for internal reporting if you rely on those.
QuickSight bills per user role (Reader $3, Author $24 a month) or by Reader session capacity, from $250 a month for 500 sessions up to annual tiers, plus SPICE storage and optional Q&A capacity. Databrain is flat and published: $999 per month for Growth and $1,995 for Pro, with unlimited seats, embeds and tenants.
In QuickSight a tenant is a namespace, a set of registered users, or a set of session tags on an anonymous embed that drive row-level security. In Databrain you pass a clientId in a guest token and one data app serves all tenants. QuickSight's controls are documented in depth; you manage them inside an AWS account.
Yes. Databrain includes white-labeling and per-customer themes on every plan. QuickSight supports themes, including runtime theme overrides through its Embedding SDK. Compare both against your design system before you decide.
Databrain offers self-hosting on its Enterprise plan, with VPC peering and a bastion host. QuickSight runs as a managed AWS service, with private VPC subnets among its security features, and we found no self-hosted option in AWS's documentation. If your customers need the analytics layer inside their own infrastructure, ask AWS directly.
Yes. AWS documents embedding the Generative Q&A experience for registered and anonymous users, built on Q topics, with Amazon Q questions billed by capacity. Databrain includes natural-language search on every plan and follow-up chat on Pro and Enterprise, with your choice of LLM connector. Check whether each is metered or included.
On the lists, Amazon QuickSight. AWS lists FedRAMP, PCI DSS, SOC 1, 2 and 3, ISO 27001 and HITRUST CSF as programs that include Quick, and HIPAA eligibility with a Business Associate Addendum. Databrain's Trust Center lists SOC 2 and GDPR as compliant and ISO 27001 as in progress, and HIPAA is coming soon.
Most Databrain teams take 2 to 4 weeks. SpotDraft replaced Looker in 4 weeks and Freightify replaced Metabase in 1, according to their published case studies. No published customer has switched from QuickSight, so treat this as Databrain's standard range, not a QuickSight migration benchmark. A full multi-tenant white-label rollout sits at the top of it.
We check every Amazon QuickSight claim against AWS's own public documentation and pricing page, and we date the check: every AWS source below was opened on 22 October 2026. AWS now brands the service Amazon Quick Sight inside Amazon Quick, and its documentation has moved to docs.aws.amazon.com/quick, so we cite the addresses that returned 200 that day. Pricing is AWS's published list price and AWS offers custom pricing for larger use cases.
Databrain claims come from our published pricing page, Trust Center, product documentation and customer case studies. AWS publishes no implementation time, so we do not state a QuickSight implementation time or total cost. Where we found no AWS documentation of a capability, the cell says so, not that it is impossible. We did not compare AWS support plans, SLAs or any certification beyond the documented lists.
Where Amazon QuickSight is stronger, we say so. If you find something here that is out of date or wrong, tell us and we will fix it.
Thirty minutes. Bring your architecture and your warehouse, and we will show a white-labeled dashboard running against your schema and tell you plainly if you are a bad fit.