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.
Peaka Embedded
|
CData
|
|
|---|---|---|
|
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
|
Peaka Embedded
CData
Purpose-built for embedding
Provides drivers for internal use
Dialogs, query editor, autocomplete
None
Full white-labeling
None
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.
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Peaka Embedded
|
CData
|
|
|---|---|---|
|
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
|
Peaka Embedded
CData
Live querying (no replication)
Requires replication
Built-in (Trino-based)
No query engine
Rate limit-aware caching built-in
No caching or retry logic
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.
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Peaka Embedded
|
CData
|
|
|---|---|---|
|
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
|
Peaka Embedded
CData
Built-in, multitenant aware
Manual setup for each tenant
Native support
User-built isolation
Peaka-managed
To be handled by the user
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
info@peaka.com
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