Peliqan

Peliqan is an all-in-one data platform for ELT/ETL, transformation, reporting and AI access across SaaS apps, databases, APIs and files.

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What Peliqan is

Peliqan is an all-in-one data platform for connecting, transforming, activating, and reporting on data for BI and AI workflows. The site describes it as an integrated stack that combines ELT/ETL pipelines, a built-in data warehouse, low-code Python, SQL, reverse ETL, and AI-oriented access patterns in one governed environment.

It is designed to reduce the handoff between data integration and downstream use. Users can pull data from SaaS apps, databases, APIs, spreadsheets, and cloud storage, then query across sources, materialize data for BI tools, publish data APIs, build apps, and support AI clients through MCP and text-to-SQL style access.

Core capabilities

Data source connectivity

Connect to databases, SaaS applications, APIs, files, and cloud storage, then choose the tables to sync and schedule updates with minimal setup.

Warehouse and federated access

Use the built-in warehouse or bring your own Snowflake, BigQuery, Redshift, Fabric, or SQL Server destination, with support for real-time federated access through Trino.

SQL and Python transformation

Transform and clean data with SQL or low-code Python, with built-in query assistance, lineage, and data quality checks.

Data sync and writeback

Create one-way, two-way, or custom multi-way syncs for reverse ETL and writeback workflows across business applications.

Reporting and BI delivery

Connect BI tools such as Power BI, Tableau, Looker, Metabase, and Excel, or build custom reports and distribute them through email, Slack, or Microsoft Teams.

Data activation for AI and apps

Use the platform to build data apps, AI agents, chatbots, RAG pipelines, and MCP-based workflows grounded in governed data.

Common ways teams use Peliqan

Operational reporting
Centralize data from CRM, accounting, ERP, and other business systems into a warehouse that can feed BI dashboards and scheduled reporting.
Reverse ETL and writeback
Create one-way or two-way syncs to keep business applications aligned without manually moving data between systems.
AI data access
Build AI chatbots, text-to-SQL workflows, RAG pipelines, or MCP-based access on top of governed business data.
Custom data applications
Publish data apps, forms, dashboards, and internal tools with low-code Python when teams need custom logic beyond standard BI.
Data sharing and distribution
Share curated datasets and reports with internal teams or external partners using governed access and branded delivery options.

Pros and Cons

Pros

Combines ingestion, transformation, activation, reporting, and AI access in a single platform.
Supports both a built-in warehouse and bring-your-own warehouse setups.
Offers SQL and low-code Python for shaping data and building workflows.
Includes connectors for SaaS apps, databases, APIs, and files, with options for custom connector delivery.
Supports governed access patterns for BI tools, shared datasets, APIs, and AI clients.

Cons

The source does not provide detailed limits for every plan feature, so buyers may need to confirm fit for specific volumes and workflows.
Some capabilities depend on the selected mode or plan, such as data apps, premium support, or private cloud options.

FAQ

Can Peliqan be used with an existing BI tool?

Peliqan can work with any BI tool by materializing tables in Peliqan to a downstream database or data warehouse destination, which BI tools can then load from.

Is Peliqan suitable for GDPR-sensitive use in the EU?

Yes. The pricing page says Peliqan is SOC2 compliant and GDPR compliant, and the FAQ states it is hosted within the EU on AWS Frankfurt with a DPA available for EU clients.

Does Peliqan always store a copy of source data?

No. For database and data warehouse sources, Peliqan’s federated query engine fetches data in real time without storing a copy. For SaaS applications, you can use real-time mode or standard mode, where a copy is stored in the built-in secured warehouse.

How are connections counted toward a license?

Each connected database, warehouse, or SaaS application counts as one connection toward the license limit. The FAQ notes that the built-in data warehouse is included in the license and does not count as a separate database.

Can Peliqan work with large datasets?

Peliqan says its federated query engine can handle big data and join and aggregate millions of rows or more.