Compare / Reveal BI

Draxlr vs Reveal BI for embedded analytics

Both put white labeled analytics in your product. Draxlr hands every customer a complete analytics workspace and leaves nothing for your developers to build around it.

  • A full analytics workspace for each customer
  • Row-level security set up in the product
  • AI built in, no LLM account to connect
  • Embedded with a snippet and one API call

Short Answer

Is Draxlr a good Reveal BI alternative?

Yes. Draxlr is an embedded analytics platform for SQL databases and a strong Reveal BI alternative. Both put white labeled analytics in your product, with unlimited end users and flat pricing. The difference is how much your team has to build. Reveal is an SDK, so your developers add its server to your backend and write the code that separates tenants, saves new dashboards and connects an AI model. Draxlr arrives finished. Each customer gets a full analytics workspace with saved queries, a no-code query builder and a built-in AI assistant, and row-level security is set up in Draxlr itself with no isolation code to write.

  • Embedding. Each customer gets a full analytics workspace in your app, with the dashboards you share, their own dashboards and saved queries, and a no-code query builder, SQL editor and AI assistant to build with.
  • Integration. Your backend makes one API call for an embed URL and your frontend adds an HTML snippet or Draxlr's React or Vue package. There is no analytics server to run inside your app.
  • Security. Row-level security is a permission you configure in Draxlr, at table and row level, and it applies to every query a customer runs.
  • AI. The assistant is built in and credits come with every plan, so there is no LLM provider account to connect or pay for.
  • Evaluation. Published pricing and a 7-day free trial on the Power plan, with no credit card and no sales call.

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At a Glance

How Do Draxlr and Reveal Differ?

The eight rows most evaluations come down to. Pricing and trial terms sit in their own table further down.

ComparisonDraxlrReveal BI
What customers get in the embedA full workspace with saved queries, query builder and AIA dashboard editor on the data sources you expose
How it goes into your productHTML snippet or React and Vue packages, plus one backend API callAn SDK in your backend and frontend
Tenant isolationConfigured in Draxlr, table and row levelWritten in your server code
AI inside the embedBuilt in, credits includedSDK extension on your own LLM account
Where it runsHosted by Draxlr, or self-hosted on EnterpriseYour own servers, air-gapped or Reveal-hosted
Reports and automationScheduled email reports, alerts and API endpointsExports to PDF, PowerPoint, Excel and images
Frontend frameworksHTML snippet for any framework, plus React and Vue packagesAny JavaScript framework, including Vue and Blazor, plus Windows Forms
Data sources14 SQL databases, plus Airtable, Excel and CSV30+ sources, including MongoDB and REST

Reveal details come from its own website, pricing page and SDK documentation. Last verified . Sources Reveal pricing, Reveal product page, Reveal server docs, Reveal user context docs, Reveal data sources, Reveal AI providers, Draxlr pricing, Draxlr full app embedding, Draxlr dashboard embedding.

Embedded Analytics

What Draxlr and Reveal each are

Both put white labeled dashboards inside your app, keep every customer to their own rows, let customers build dashboards of their own and charge a flat rate with unlimited end users. The difference is what you receive.

Draxlr is the finished product. It queries your SQL database in place, row-level security is a permission you set in Draxlr, and full app embedding gives each customer saved queries, a no-code query builder, a SQL editor and an AI assistant beside the dashboards you share.

Reveal, made by Infragistics, is an SDK. Its server library runs in your ASP.NET Core, Node.js or Java backend, and your code supplies tenant context, data source credentials, dashboard storage and the AI model. It suits teams that want analytics as part of their own codebase.

Key Differences

Where Draxlr and Reveal Split

Reveal is a capable SDK for teams that want to code analytics into their product. These are the points where teams find a different fit, and what Draxlr does about each.

01

A workspace for every customer

Reveal's embedded view lets customers edit dashboards and add visualizations from the data sources your code exposes, and its docs keep custom queries in your server code. Draxlr's full app embedding gives each customer a workspace of their own. They browse the data, build queries with a no-code builder or the AI assistant, save them, and turn them into dashboards beside the ones you share. You choose which of those tools each embed exposes.

02

Tenant isolation you configure once

Reveal separates tenants through code on your server. A user context provider says who is signed in, an object filter hides tables, and data source callbacks switch the database or fill query parameters for each tenant. Draxlr makes row-level security a permission in the product that sets which tables a group can reach and the row filters on them. Your backend sends the group and attribute values with the embed URL request, and every dashboard, saved query and AI answer respects them.

03

No analytics server inside your app

The Reveal SDK runs as part of your backend, as a package in an ASP.NET Core, Node.js or Spring Boot app. Dashboards save as .rdash files in a server folder by default, and storing them anywhere else means writing a dashboard provider with your own save logic. Draxlr runs the platform and stores dashboards for you. When data must stay in your network, the Enterprise plan self-hosts with Docker.

04

AI that works on day one

Reveal AI is an SDK extension. You add a provider package for OpenAI, Azure OpenAI, Anthropic or Google Gemini, supply your own API key and register it in your server code. Draxlr AI is built in. It writes the SQL for a question, shows the query it ran and lets customers edit it, with row-level security on every answer. Power includes 300 credits a month for your organization, 200 more cost $10, and when credits run out the query builder and SQL editor keep working.

05

Reports and alerts that run on their own

Reveal dashboards export to PDF, PowerPoint, Excel, CSV and images from the export menu, and a server export API produces Excel, PDF and PowerPoint files from code. Its docs describe no scheduled delivery or data alerts, so any schedule is code your team writes and runs. Draxlr emails dashboard reports on a daily or weekly schedule from Premium up, sends Slack and email alerts when data changes, turns saved queries into API endpoints and keeps them synced to Google Sheets.

06

A price you can read before the first call

Reveal publishes no prices. Its pricing page promises one flat rate with unlimited users, so a budget starts with a quote form, plus whatever your LLM provider bills for AI. Draxlr publishes every plan with its database, user and AI limits, bills monthly or annually and never charges for the customers who view your dashboards. The embedded analytics pricing comparison sets those plans against the wider market.

Feature by Feature

Draxlr vs Reveal BI, Feature by Feature

The two overlap on embedding basics. Draxlr pulls ahead on customer self-service, setup and automation, and Reveal on data source breadth, frontend frameworks and deployment options.

FeatureDraxlrReveal BI
Embed a single dashboardYesYes
Customers build and save their own dashboardsYesYes, with Save As code you write
Customers save their own queriesYesNot described
No-code query builder for customersYesVisualization editor
SQL editor for customersYesCustom queries set in server code
AI assistant inside the embedYesYes
AI works without your own LLM accountYesNo
Row-level security for each customerYes, configured as a permissionYes, implemented in your code
Analytics server to run in your backendNoneASP.NET Core, Node.js or Java
Self-hosted deploymentYes, on EnterpriseYes, including air-gapped
White labeled branding in the embedYesYes
Scheduled email reportsYes, Premium and aboveNot described
Slack and email data alertsYesNot described
Saved queries as API endpointsYesNot described
Dashboard exportPDF and ExcelPDF, PowerPoint, Excel, CSV and images
MongoDB, Elasticsearch and REST sourcesNoYes, except MongoDB and Elasticsearch on Java

Scored from each vendor's public pages and developer documentation. Not described means Reveal's pages do not mention it. Last verified . Sources Reveal pricing, Reveal product page, Reveal server docs, Reveal user context docs, Reveal data sources, Reveal AI providers, Draxlr pricing, Draxlr full app embedding, Draxlr dashboard embedding.

Integration

How Each One Gets Into Your Product

The biggest practical difference between the two is how much code sits between your database and your customer.

How Draxlr is embedded

Your team builds dashboards in Draxlr with the query builder, SQL or AI, then opens the embed builder to set filters, colors, exports and allowed domains against a live preview. For full app embedding the same builder picks the tools customers get, the dashboards they share and the row-level security group that applies. Your backend calls the embed URL API with your API key and secret, Draxlr returns an embed URL, and an HTML snippet renders it in your app. Single dashboards can also go in through Draxlr's React and Vue packages on npm. Draxlr runs the platform and ships every update.

How Reveal is embedded

Reveal comes in two halves. On the server you add the Reveal package to an ASP.NET Core, Node.js, NestJS or Spring Boot app and register providers for user context, data source credentials and dashboard storage. In the browser, the reveal-sdk library renders dashboards and their editor in any JavaScript framework, created through RevealView in your own code. Tenant rules, table visibility and per-tenant connections all live in your server code. Reveal says a first dashboard can be live in a day and most teams go live in days or weeks.

Connectors

Live on the SQL database you already run

Draxlr connects to PostgreSQL, MySQL, MariaDB, PlanetScale, CockroachDB, YugabyteDB, Microsoft SQL Server, Redshift, BigQuery, Supabase, Neon, ClickHouse, Databricks and Snowflake with read-only access.

Pricing Snapshot

What Each One Costs

Both charge a flat rate with unlimited end users. Draxlr publishes its plans and includes AI, while Reveal quotes on request and runs AI on your own LLM account.

PricingDraxlrReveal BI
Starting price$75 / month with embeddingQuote on request
Pricing modelFlat rate per planOne flat rate
End usersUnlimited on every planUnlimited
AI usage300 credits a month on Power, 200 more for $10Billed by the LLM provider you connect
Published pricingEvery planNone, quote by request
Free trial7 days on Power, no credit card30-day SDK trial to install

Reveal's licence covers the SDK. LLM usage is billed to your own provider account. Last verified . Sources Reveal pricing, Reveal product page, Reveal server docs, Reveal user context docs, Reveal data sources, Reveal AI providers, Draxlr pricing, Draxlr full app embedding, Draxlr dashboard embedding.

Draxlr Pricing

What Draxlr Costs

Premium covers white labeled dashboard embedding, Power adds the full app embedding and row-level security a Reveal evaluation usually turns on, and Enterprise brings self-hosting, SSO and audit logs.

Premium

$75/ month

or $600 a year

White labeled dashboard embedding for teams putting analytics in front of customers.

  • Embed with an HTML snippet or React and Vue packages
  • White labeling included
  • Filters, drill-downs and exports
  • Unlimited external viewers
  • 2 databases, 10 internal users

Power

Best fit for Reveal teams
$250/ month

or $2,000 a year

Full app embedding with row-level security, the multi-tenant self-service a Reveal build would otherwise take.

  • Everything in Premium
  • Full app embedding for each customer
  • Row-level security at table and row level
  • Customer-owned dashboards and saved queries
  • 5 databases, 30 internal users

Enterprise

$500/ month

or $3,800 a year

For teams that need analytics inside their own network, with governance to match.

  • Everything in Power
  • Dedicated server or self-hosting
  • SSO and audit logs
  • Custom databases, users and AI credits
  • SLA support

Every plan includes unlimited external viewers. See the full plan comparison for database, user and AI credit limits, or the Enterprise page for governance and deployment details.

Decision Guide

Which One Should You Pick?

Both handle multi-tenant embedding properly, so the choice rests on how much your team wants to build and how far customers should go on their own. When Reveal is one of several names on your list, the roundup of Qrvey alternatives scores it beside Luzmo, Embeddable, GoodData and Sisense on hosting, self-service and security.

Choose Draxlr if

  • Each customer should get their own analytics workspace, with a no-code query builder, saved queries and AI
  • You want embedded analytics in your product without adding an analytics server to your backend
  • Tenant isolation should be configured once in the product and kept out of your application code
  • AI should work from day one, without an LLM provider account to set up and pay for
  • Your team needs scheduled reports, alerts and API endpoints alongside the embed
  • You want to see pricing and start building before any sales conversation

Choose Reveal if

  • Your developers want analytics as native components they control from code in your own frontend
  • Your team works in .NET, Node.js or Java and wants the analytics server inside your application
  • Key data lives in MongoDB, Elasticsearch, Oracle, Analysis Services or REST APIs
  • Deployment has to be air-gapped
  • AI must run on a model you choose, including a private one, with token caps for each tenant
  • Customers need dashboards exported to PowerPoint

Migration

Moving embedded analytics from Reveal to Draxlr

Most of the work in a move is deleting code. These are the four steps.

01

Connect the databases Reveal reads

Point Draxlr at the SQL databases your Reveal data source provider connects to, with read-only access. If Reveal switched databases per tenant, connect each one.

02

Rebuild the dashboards you ship

Reveal's .rdash files are rebuilt rather than imported. The no-code query builder covers most charts, SQL takes anything a custom query was doing, and the AI assistant can draft a dashboard from one prompt. The Draxlr team can also build them with you through Professional Services.

03

Turn tenant code into a permission

The tables your object filter allowed and the values your user context provider read become a row-level security permission. Send each customer's group and attribute values with the embed URL request.

04

Swap RevealView, then remove the SDK

Replace RevealView in your frontend with Draxlr's HTML snippet, or its React or Vue package. Once the last customer has moved, the Reveal packages and providers can come out of your backend.

FAQ

Draxlr and Reveal, Answered

Setup, security, AI, data sources, migration and pricing questions from teams weighing the two.

Is Draxlr a good Reveal BI alternative?

Yes, especially for teams that want embedded analytics without building it. Draxlr is an embedded analytics platform for SQL databases that covers the same core ground as Reveal, meaning white labeled analytics in your app, row-level security for each customer, dashboards customers can build themselves and unlimited end users on flat pricing. It goes further on what customers can do, because full app embedding gives each one a workspace with saved queries, a no-code query builder, a SQL editor and a built-in AI assistant. It also asks less of your developers. Draxlr is configured in the product and embedded with a snippet, while Reveal is an SDK whose server, tenant isolation and AI provider your team wires into its own backend. Reveal is the stronger fit for sources such as MongoDB or REST APIs, for air-gapped deployments, and for teams that want analytics as native components controlled entirely in code.

Should I choose Draxlr or Reveal?

Choose Draxlr if your data sits in a SQL database, your customers should explore it themselves with a no-code query builder, saved queries and AI, and you want tenant isolation configured in the product with nothing to add to your backend. Choose Reveal if your developers want an SDK they control line by line inside a .NET, Node.js or Java application, if you need sources such as MongoDB, Elasticsearch or REST APIs, if deployment must be air-gapped, or if AI has to run on a model you choose and pay for. Both offer white labeling, live queries, customer-built dashboards and unlimited end users, so the decision usually turns on how much your team wants to build and how far customer self-service should go.

What is the difference between Draxlr and Reveal BI?

Reveal BI, sold by Infragistics as Reveal, is an embedded analytics SDK. Developers add a Reveal server package to an ASP.NET Core, Node.js or Spring Boot backend, render dashboards in the browser with its JavaScript library, and write providers that handle tenant context, data source connections and credentials, and dashboard storage. Draxlr is a hosted embedded analytics platform. You connect a SQL database, build dashboards and configure row-level security in Draxlr, then embed them with a snippet and one backend API call that returns an embed URL. With full app embedding, Draxlr also puts a complete analytics workspace in front of each customer, with saved queries, a query builder and an AI assistant.

How does multi-tenant security work in Draxlr and Reveal?

In Draxlr, row-level security is a permission you set up in the product. For each database it defines which tables a group can access and which row filters apply. Your backend sends the customer's RLS group and attribute values when it requests the embed URL, and Draxlr applies them to every dashboard, saved query, SQL statement and AI answer that customer sees. It is on the Power plan and above, for single dashboard embeds and full app embeds alike. In Reveal, isolation is code on your server. A user context provider passes who the user is, an object filter restricts which tables they see, and data source callbacks change the database or set custom query parameters for each tenant. The approach is flexible, and your team writes, tests and maintains it.

Do I need my own LLM account for AI in Draxlr or Reveal?

Not with Draxlr. Its AI assistant is built in. It writes the SQL for a question, runs it, shows the query and explains the result, with row-level security applied to every answer. Credits come with every plan, 300 a month on Power with 200 more for $10, and they are shared across your organization, including questions customers ask in full app embedding. Credits cover only AI messages, so the query builder and SQL editor keep working if they run out. Reveal AI is an extension of the Reveal SDK that you enable in code. You add a provider package for OpenAI, Azure OpenAI, Anthropic or Google Gemini, or point it at any OpenAI-compatible endpoint, and supply your own API key, so that provider bills the usage. Reveal lets you cap AI tokens per tenant or user. Draxlr also offers an MCP server, so your team can query databases and add saved queries to dashboards from Claude, ChatGPT or Cursor.

How does Draxlr's pricing compare with Reveal's?

Draxlr publishes every plan. Dashboard embedding starts on Premium at $75 a month, full app embedding and row-level security come with Power at $250 a month, and Enterprise starts at $500 a month with self-hosting, SSO and audit logs. Every plan bills monthly or annually and includes unlimited external viewers. Reveal publishes no prices. Its pricing page describes one flat rate with unlimited users, no extra embed cost as your customer base grows and every data connector included, with a quote on request. With Reveal, budget separately for the LLM provider its AI runs on and, when you host it yourself, for the servers it runs on.

Which data sources do Draxlr and Reveal connect to?

Draxlr connects live to PostgreSQL, MySQL, MariaDB, PlanetScale, CockroachDB, YugabyteDB, Microsoft SQL Server, Redshift, BigQuery, Supabase, Neon, ClickHouse, Databricks and Snowflake with read-only access, and also connects Airtable and accepts Excel or CSV uploads. It queries your database in place and never replicates it, and dashboard results are cached so dashboards load faster. Reveal's SDK supports more than 30 sources, covering the major SQL databases and warehouses plus Oracle, MongoDB, Elasticsearch, Cosmos DB, Analysis Services, Google Sheets, JSON, OData and REST, though MongoDB and Elasticsearch aren't available on its Java SDK. If your analytics depends on those non-SQL sources, Reveal covers more of them.

Can I migrate from Reveal to Draxlr?

Yes. Connect Draxlr with read-only access to the SQL databases your Reveal data source provider points at. Reveal saves dashboards as .rdash files, its own ZIP-based format, so rebuild the dashboards you ship with the query builder, SQL or the AI assistant, or with help from Draxlr's Professional Services team. Move the tenant rules from your Reveal server code into a Draxlr row-level security permission, then send each customer's group and attribute values when you request the embed URL. Finally, replace RevealView in your frontend with Draxlr's HTML snippet or its React or Vue package, and remove the Reveal packages from your backend.

Can I try Draxlr without talking to sales?

Yes. Every new account starts with a 7-day free trial with access to the Power plan, with no credit card and no sales call, so you can embed a working dashboard on your own database before you commit. Reveal offers a 30-day free trial of its SDK, which your developers download and install into an application to evaluate, and pricing for a licence starts with a quote request.

How we compare these tools

Every Reveal detail on this page comes from Reveal's own website, its pricing page and its developer documentation at help.revealbi.io, and every Draxlr figure matches our published plans. Where Reveal does something Draxlr does not, the tables say so. Where Reveal's pages are silent we write not described, because silence on a page does not prove a feature is missing. Figures were last checked on . Reveal versions its SDK and labels some parts as Beta or preview, including its web component wrappers and some AI server packages, so check the docs for the release you would run.

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Customer Reviews

Data, product, and engineering teams rely on Draxlr for clear dashboards, faster decisions, and dependable support.

Powerful and Beautiful Dashboards with Excellent Value and Support

Draxlr offers a clean, modern interface and makes it incredibly easy to build dashboards — even for non-technical users.

Ole, CEO

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Best for Dashboards based on Postgres

Super simple, almost no time to learn the tool. Draxlr is moving fast and building a lot of new valuable features.

Founder in Facilities Services domain

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Draxlr makes my data more useful and more collaborative

I've been using Draxlr for a year now and I LOVE it.

Varun, CEO

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Super easy to use and implement KPI visualization

Draxlr has completely transformed the way I work with data.

שלמה, OPs manager

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A plug'n'play Dashboard for Supabase

The query builder is honestly very intuitive and the graph elements very straightforward to understand.

Niklas, CTO

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A very useful tool

Very very good. The dashboards help us to understand in real time our customer behavior

Paolo, CTO

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