Why Embedded Peaka Beats Hevo Data for In-Product Dashboards

Building embedded analytics into your SaaS product sounds simple until you realize what it actually takes: connectors, query infrastructure, data caching, governance, UI components, and tenant-level control.

Hevo Data and Embedded Peaka both help you bring data into your app, but they take radically different approaches. One gives you the infrastructure for ETL to your warehouse. The other gives you a drop-in data delivery layer with a built-in UI, query engine, and live data access—no warehouse required.

Here’s why Embedded Peaka is the better fit if you want to ship customer-facing analytics faster.

1. Peaka unifies and embeds data at the same time

Hevo is built for internal analytics. It’s a classic ETL pipeline that syncs data from various sources into your cloud warehouse. After that, you’re on your own: you still need to manage query performance, frontend UIs, data governance, and multi-tenant access control.

Peaka surpasses conventional data integration by providing a comprehensive data management solution that simplifies embedding analytics in SaaS products. Peaka not only unifies data from distributed sources, but it also gives you the UI components and white-labeling support to present that data as dashboards in your product.

What this means for you

Peaka enhances data connectivity and helps you create a plug-and-play embedded data experience.

2. Peaka eliminates data replication and data warehouses

Hevo’s data integration model relies on replicating data into a data warehouse such as Snowflake, BigQuery, or Redshift. This results in latency, ongoing need for maintenance, and security issues.

By leveraging data virtualization and federated queries, Embedded Peaka eliminates the need for a data warehouse and all associated maintenance costs. It enables users to query the data at the source, while smart caching reduces query execution time and lowers costs for frequently accessed data.

What this means for you

While Hevo Data refines the traditional ETL method, Embedded Peaka removes the need for ETLs and simplifies the data stack for SaaS teams working to embed analytics into their products.

3. Peaka offers advanced features to accelerate development

Hevo requires you to manage all the customer-specific logic yourself: from securing OAuth credentials to building tenant-level isolation and row-level access.

From the start of its development, multitenancy was baked into Embedded Peaka, which offers

• Hosted or BYO OAuth with full tenant awareness

• Row-, column-, and role-level access controls

• Audit logs and lineage tracking

• Isolated projects, catalog, and schemas for multi-tenant control

What this means for you

OAuth flows, multitenancy, and governance are typically pushed to the end of the development cycle or completely ignored, as is the case with Hevo. Embedded Peaka handles allBy offering them out of the box, Embedded Peaka ensures that product velocity remains high.

4. From backend to UI, Embedded Peaka has the entire stack

Hevo gives you a data pipeline. That’s it. No query editor, connector dialogs, or theming.

Embedded Peaka comes with premium features such as

• AI-enhanced query editors

• Connector dialogs

• Autocomplete

• Visual theming

Instead of building every component from scratch, product teams embed them in their platforms and channel their resources to more productive tasks.

What this means for you

The advanced feature set offered by Embedded Peaka helps product teams save weeks in engineering effort that would otherwise be used to develop such features.

Key takeaways

• Hevo Data is an ETL platform that replicates data to warehouses, but doesn’t provide query engines, UI components, or multitenant controls.

• Embedded Peaka delivers a complete embedded analytics stack, including live querying, smart caching, governance, and white-labeled UI.

• Embedded Peaka eliminates the need for data replication, allowing SaaS teams to access real-time data without setting up a data warehouse.

• Embedded Peaka shortens time-to-market, enabling teams to embed dashboards and analytics directly into their products with minimal engineering effort.

Final verdict: Embedded Peaka helps you deliver value, not just integrate data

Hevo is an excellent choice for centralizing data into a warehouse for internal analytics.

But if your goal is to embed real-time data, analytics, or AI insights directly into your product without building all the infra yourself, Embedded Peaka is purpose-built for you.

Don’t build a stack to deliver analytics. Embed one with Peaka.

Visit Embedded Peaka to see how it powers embedded analytics for SaaS teams or book a demo to watch it in action.