Octopus & Looker Integration
Instantly connect Octopus to Looker – or to any other BI tool. Combine your Octopus data with other business systems for unified analytics and real-time insights in under 5 minutes.
- 5-minute setup
- GDPR compliant, EU-hosted
- SOC 2 Type II certified
Sync Octopus to Looker
Octopus
Octopus holds business data that teams need alongside the rest of their stack, whether that is customer records, transactions, documents or activity logs. Pulling it out for reporting normally means custom API scripts or one-off integration work. Peliqan provides a managed Octopus connector that syncs it into your warehouse automatically, with incremental updates and schema changes handled for you.
Looker
Looker is Google's enterprise BI platform, distinguished by its semantic modeling layer (LookML) that turns raw warehouse data into governed, reusable business definitions. Looker runs entirely on top of a warehouse, so warehouse data quality determines dashboard quality. Peliqan handles that foundation by syncing SaaS and database sources into your warehouse automatically.
Common Octopus to Looker use cases
More destinations for Octopus
Send data out
Sync your Octopus data into these databases and warehouses.
Instant Data Warehouse & Analytics
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.
Built-in Data Warehouse
Your Octopus 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.
One-Click BI Integration
Connect Looker to the Peliqan data warehouse with a few clicks – no APIs or drivers to manage. Your Octopus data is ready for dashboards and reports instantly.
AI-Powered SQL Analytics
Ask plain-English questions about your Octopus data and get runnable SQL back. Write complex queries with AI assistance, or let the assistant write them for you.
RAG & AI Agents
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.
Python Data Apps
Build interactive apps or run ML models on your Octopus data before syncing into Looker. Ideal for predictive metrics, churn scores, or anomaly detection in BI.
Data Sync & Activation
Push processed insights from Looker dashboards back into Octopus with writeback, or sync results to any other business app with a few lines of Python.
How to Connect Octopus and Looker
Five steps, about 5 minutes, no pipeline code.
1. Connect in 30 Seconds
Authenticate your source (Octopus)
via OAuth or API key – no complex setup.
2. Data Flows Automatically
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).
3. Query & Analyze
Use SQL, natural language queries, or the Peliqan data explorer and analyze your unified data.
4. Activate Insights
Connect your favorite BI tool to the Peliqan data warehouse, build Python apps, and sync insights back to your business applications.
5. Enable AI Agents
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).
Beyond Simple Sync
A cloud data platform designed for the systems and workflows modern data and business teams use every day.
Cross-Database Queries
Join Octopus with other sources using SQL, without complex ETL. Use federated queries to combine data in real time across databases.
Automated Data Transformations
Clean, transform, and enrich your Octopus data with SQL or Python during the sync process. No separate ETL tools needed.
Extensive Connectivity
Connect to 300+ sources and business applications: from CRM to ERP, accounting and HRM/ATS. New connector delivery within 2 weeks.
Enterprise Security & Compliance
Security is our top priority. SOC 2 Type II certified, ISO 27001, GDPR compliant, with access controls and audit logging built in.
Historical Data & Time Travel
Set up history tables for Octopus with SCD Type 2 tracking. Analyze trends and build point-in-time reports in Looker.
Developer Platform
REST APIs, Python SDK, webhook support, and a custom connector framework for advanced use cases.
What Peliqan syncs from Octopus
Peliqan loads your Octopus data into a warehouse that Looker connects to directly, so your reports run on current data instead of manual exports.
Technical Specifications
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.
Supported Data Types
- All standard and custom object types from Octopus
- Custom field mapping and transformation rules
- Automatic schema evolution and change detection
Performance & scale
- Handles millions of records with distributed processing
- Near real-time data sync for most object types
- 99.9% uptime SLA with redundant infrastructure
Security features
- End-to-end encryption in transit and at rest
- VPN tunnel support and on-premises agents
- Enterprise SSO integration available
SaaS Data Cockpit
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Built with enterprise-grade security and compliance.
Frequently asked questions
How do I connect Octopus to Looker?
Connect Octopus in Peliqan via OAuth or API key. Your data syncs into the built-in data warehouse, and you connect Looker to that warehouse with standard database credentials. The full setup takes around 5 minutes, no coding required.
Can I connect multiple Octopus instances?
Yes, you can connect multiple instances of Octopus and unify the data, or you can customize field mappings for each connection.
How often does the data sync?
You control the sync frequency: as often as every 15 minutes on the Pro plan, or hourly, daily and custom schedules. Some source systems set their own limits – Exact Online, for example, defaults to every 6 hours.
Can I transform data during the sync process?
Yes. Transform data with SQL or low-code Python before or after it lands in the warehouse. You can clean fields, join across sources and reshape tables without touching the source system.
Is there a limit on data volume?
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
What if I need a custom integration?
Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.
Ready to see all your Octopus data in Looker?
Connect Octopus to Looker in minutes, and build the reports and dashboards your team actually needs.