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Peliqan

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All-in-one data platform for ELT/ETL, BI, and AI access

What is Peliqan?

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.

What can Peliqan do?

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.

Use Cases

“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.

Frequently Asked Questions

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.

Quick Facts

Category
All-in-one data platform
Primary use
BI and AI data pipelines
Deployment
Built-in warehouse or bring your own
Integrations
250+ connectors / 300+ sources mentioned on site
Pricing model
Paid plans with a 14-day free trial
Website
peliqan.io

Peliqan Traffic Analysis

Traffic data is for reference only.

Domain Rating
45

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