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.
Plateforme de données tout-en-un pour ELT/ETL, BI et IA
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.
Connect to databases, SaaS applications, APIs, files, and cloud storage, then choose the tables to sync and schedule updates with minimal setup.
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.
Transform and clean data with SQL or low-code Python, with built-in query assistance, lineage, and data quality checks.
Create one-way, two-way, or custom multi-way syncs for reverse ETL and writeback workflows across business applications.
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.
Use the platform to build data apps, AI agents, chatbots, RAG pipelines, and MCP-based workflows grounded in governed data.
Centralize data from CRM, accounting, ERP, and other business systems into a warehouse that can feed BI dashboards and scheduled reporting.
Create one-way or two-way syncs to keep business applications aligned without manually moving data between systems.
Build AI chatbots, text-to-SQL workflows, RAG pipelines, or MCP-based access on top of governed business data.
Publish data apps, forms, dashboards, and internal tools with low-code Python when teams need custom logic beyond standard BI.
Share curated datasets and reports with internal teams or external partners using governed access and branded delivery options.
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.
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.
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.
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.
Peliqan says its federated query engine can handle big data and join and aggregate millions of rows or more.
Les données de trafic sont fournies à titre indicatif uniquement.
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