Embedded Peaka vs. CData
CData helps you connect data.
Embedded Peaka, on the other hand, enables a fully embedded experience, including a backend infrastructure, connectors, queries, caching, and UI.
Optimized for customer-facing analytics
CData offers a connector infrastructure to quickly move data from external sources to internal systems.
Embedded Peaka, in contrast, goes beyond simple data integration and turns data into a product you can embed in your platform.
|
|
|
---|---|---|
Deployment Mode
|
Purpose-built for embedding |
Provides drivers for internal use |
UI Component Support
|
Dialogs, query editor, autocomplete |
None |
Branding & Theming
|
Full white-labeling |
None |
Live queries without the infra headache
CData’s data access model relies on copying and moving data in order to unify it in a different location.
Embedded Peaka enables querying data without replication, eliminating the need for costly data warehouses.
|
|
|
---|---|---|
Data Access Model
|
Live querying (no replication) |
Requires replication |
Query Engine
|
Built-in (Trino-based) |
No query engine |
Caching & Rate Limit Handling
|
Rate limit-aware caching built-in |
No caching or retry logic |
Built-in OAuth and multitenancy to accelerate your roadmap
With CData, it is your responsibility to develop OAuth flows, introduce isolation for each tenant, and maintain connectors.
Embedded Peaka provides all of this out of the box, allowing your team to focus on adding new capabilities to your platform instead of building everything from scratch.
|
|
|
---|---|---|
OAuth & Credential Handling
|
Built-in, multitenant aware |
Manual setup for each tenant |
Multitenant Support
|
Native support |
User-built isolation |
Connector Lifecycle Management
|
Peaka-managed |
To be handled by the user |
Flexible, fast, and developer-friendly
CData’s conventional approach relies on drivers and legacy integration points, which are not a good fit for SaaS teams looking to offer in-product analytics.
Embedded Peaka combines backend connectivity with UI components and saves these teams weeks in engineering effort with a toolkit including
Modern SDKs for JS, Python, and Java
Access via SQL, REST APIs, or drivers
Connectors for 300+ SaaS tools
(Stripe, HubSpot, Zendesk, etc.)
Deployment as a headless backend or UI + backend packaged together
Embedded Peaka vs. CData
Don’t build a data stack. Embed one.
Deliver the in-product analytics your customers seek with Embedded Peaka.