Instantly connect Google Sheets to Apache Superset – or to any other BI tool. Combine your Google Sheets data with other business systems for unified analytics and real-time insights in under 5 minutes.
The problems data and business teams tell us about, and how Peliqan solves each one
Google Sheets is a productivity and collaboration platform centralizing project management, documents, and team workflows. Native reporting covers project basics but cannot join task data with finance or operational systems without a warehouse. Peliqan provides a managed Google Sheets connector that syncs projects, tasks, and team data into your warehouse for delivery analytics and capacity planning.
Apache Superset is the open-source enterprise BI platform born at Airbnb, now widely adopted for self-serve analytics among data-driven teams. It supports any SQL-speaking warehouse and offers rich permissions and alerting. Peliqan provides the missing data layer by syncing SaaS and operational sources into the warehouse Superset queries, with managed connectors and incremental refreshes.
Peliqan brings ETL pipelines, data transformations and reverse ETL together in one integrated platform. Connect your favorite BI tool and activate your data with SQL and low-code Python.
Your Google Sheets data is stored in a high-performance built-in warehouse optimized for analytics. Run cross-source queries, create materialized views, and join datasets in real time.
Connect Apache Superset to the Peliqan data warehouse with a few clicks – no APIs or drivers to manage. Your Google Sheets data is ready for dashboards and reports instantly.
Ask plain-English questions about your Google Sheets data and get runnable SQL back. Write complex queries with AI assistance, or let the assistant write them for you.
Use Retrieval-Augmented Generation for knowledge lookups and text-to-SQL for analytics. Deploy AI agents that answer questions, produce SQL, or trigger actions in your apps.
Build interactive apps or run ML models on your Google Sheets data before syncing into Apache Superset. Ideal for predictive metrics, churn scores, or anomaly detection in BI.
Push processed insights from Apache Superset dashboards back into Google Sheets with writeback, or sync results to any other business app with a few lines of Python.
Authenticate your source (Google Sheets)
via OAuth or API key – no complex setup.
Authenticate your source (Google Sheets)
via OAuth or API key – no complex setup.
Your data appears in the Peliqan data warehouse with automatic schema detection and optimization for analytics.
Or bring your own data warehouse (Snowflake, Redshift, Bigquery, Clickhouse, Fabric).
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
Turn on AI Agents (RAG and text-to-SQL) to answer business queries, generate SQL, or trigger downstream actions (e.g., create a CRM task).
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Join Google Sheets with other sources using SQL, without complex ETL. Use federated queries to combine data in real time across databases.
Clean, transform, and enrich your Google Sheets data with SQL or Python during the sync process. No separate ETL tools needed.
Connect to 300+ sources and business applications: from CRM to ERP, accounting and HRM/ATS. New connector delivery within 2 weeks.
Security is our top priority. SOC 2 Type II certified, ISO 27001, GDPR compliant, with access controls and audit logging built in.
Set up history tables for Google Sheets with SCD Type 2 tracking. Analyze trends and build point-in-time reports in Apache Superset.
REST APIs, Python SDK, webhook support, and a custom connector framework for advanced use cases.
Peliqan provides a high-performance ELT engine optimized for modern cloud data warehouses. Load, transform and orchestrate data reliably with warehouse-native speed and security.
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Connect Google Sheets in Peliqan via OAuth or API key. Your data syncs into the built-in data warehouse, and you connect Apache Superset to that warehouse with standard database credentials. The full setup takes around 5 minutes, no coding required.
Yes, you can connect multiple instances of Google Sheets and unify the data, or you can customize field mappings for each connection.
You control the sync frequency. Choose from near real-time updates, every 15 minutes, hourly, daily, or custom schedules. Near real-time sync is available for most object types.
Yes. Use SQL or low-code Python to clean, join and model your Google Sheets data in the warehouse. SQL queries become new tables that you can use directly in Apache Superset for dashboards and reports.
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
Our professional services team can build custom connectors and integrations, or you can build your own custom pipelines using the Python SDK and REST APIs.
Connect Google Sheets to Apache Superset in minutes, and build the reports and dashboards your team actually needs.