Easily sync data from Shiji ReviewPro to MySQL, explore your data with the rich Data Explorer and transform your Shiji ReviewPro data with SQL.
Shiji ReviewPro is a hospitality platform covering reservations, guest data, revenue or property operations. Native reports work well per property, but multi-property and cross-source analysis needs a warehouse. Peliqan provides a managed Shiji ReviewPro connector that syncs hospitality data into your warehouse for occupancy, RevPAR and guest analytics across locations.
MySQL is one of the most widely deployed open-source relational databases, powering web applications, ecommerce platforms, and SaaS products at every scale. Many teams use MySQL as an analytical destination when their operational stack already runs on it. Peliqan provides managed MySQL connectors that handle data syncing automatically with incremental loads and schema management.
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.
Sync Shiji ReviewPro data into MySQL in a few clicks. Want another target? Point the same pipeline at Peliqan’s built-in warehouse or any database you run.
Set up a production-ready ELT pipeline in just minutes. Shiji ReviewPro data lands in MySQL with schema detection, incremental syncs from every 15 minutes.
Transform Shiji ReviewPro data in MySQL using SQL or low-code Python. Describe the logic in plain English, let AI draft it, then clean, validate and enrich.
Combine Shiji ReviewPro with any of Peliqan’s 300+ connectors inside MySQL. Build unified data sets for analytics, reporting and AI in one place, not five tools.
Write your own Python or SQL when you need control. Schedule scripts, enforce business rules and publish Streamlit data apps on Shiji ReviewPro data in MySQL.
Push enriched MySQL data back into the apps your teams use, then run the whole flow on a schedule with built-in orchestration, dependencies and alerts.
Authenticate your source (Shiji ReviewPro)
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.
Efficiently sync only new & changed records from Shiji ReviewPro to MySQL using incremental loading strategies.
Automatically handle schema changes in Shiji ReviewPro – new fields, renamed columns, and type changes are detected and propagated to MySQL.
Built-in data quality checks ensure clean data in MySQL. Set validation rules, detect anomalies, and get alerts for data quality issues.
Schedule complex workflows, dependencies, and multi-step pipelines. Use built-in orchestration capabilities.
Loads are tuned to MySQL using its native bulk-load path for optimal query performance.
REST APIs, Python SDK and a custom connector framework for advanced data engineering workflows.
Peliqan loads your Shiji ReviewPro data into MySQL as analytics-ready tables you can query with SQL. Schema changes are handled automatically.
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.
Send data out
Sync your Shiji ReviewPro data into these databases and warehouses.
Connect your apps, then work with the data in a spreadsheet, in SQL, or in plain English. No pipelines to maintain.
Yes, you can connect multiple instances of Shiji ReviewPro and unify the data, or you can customize field mappings for each connection.
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.
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.
Peliqan handles enterprise-scale data volumes. Our distributed architecture processes millions of records efficiently with automatic scaling based on your needs.
Our team builds custom connectors, typically within 2 weeks. You can also build your own pipelines with low-code Python.
Connect Shiji ReviewPro to MySQL in minutes, and build the reports and dashboards your team actually needs.