See how easy it is to connect your data using Panoply. In just a few minutes, you can set up a data warehouse and start syncing your Talend data.
Try Panoply for FreePanoply automatically organizes data from Talend and 30+ native data sources into query-ready tables and connects to popular BI tools like Jupyter as well as analytical notebooks. From executives to analysts, your entire team will have access to the most up-to-date data and insights they need to drive your business forward.
See All BI Tool ConnectorsEliminate bottlenecks caused by querying production or operational data and retain valuable historical data. Store all your data in a secure warehouse that automatically scales to meet your needs.
Our ConnectorsStore data from Talend and nearly any data source. Break down the silos separating your data to create a single source of truth your entire company can rely on.
Get a DemoBuild your own ETL pipelines with Talend’s all new pipeline designer. Talend’s robust toolbox lets you work with code, manage files, and transform and integrate big data. This ETL has graphical design and development tools and hundreds of data processing components and connectors. Speed and automate your Talend pipelines with Panoply’s integration. You save time on prep work, and your cloud data warehouses are updated continuously with the cleanest, most relevant output.
You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required.
Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.
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