Here's where to find documentation for the 1010data Insights Platform and associated products. There is also a collection of tutorials to help you gain insights from your data using our fast and powerful analytical platform.
If you're new to 1010data, these documents are the perfect place to start.
Tutorials to help you get started using the iterative and intuitive Trillion-Row Spreadsheet.
A helpful guide to all the features in the new and dynamic web interface.
A guide to the legacy web interface featured in Compatibility Mode.
A detailed reference for the Macro Language and 1010data functions.
A collection of delectable 1010data recipes that will help you get from line cook to top chef.
The glossary provides a list of 1010data-related terms and definitions.
A universal reference for 1010data's first native calculation library.
1010data supports a wide variety of technical interfaces for loading data, extracting data, integrating third-party applications, building new applications, and more.
1010data's suite of command line tools: TenUp, TenDo, and Data Hauler.
1010data's tool for uploading data and
executing queries in Excel.
The most natural way to connect to 1010data from Java-based applications.
Real-time access to 1010data from any application that supports ODBC connectivity.
1010data's tool for self-service integration with Microsoft Power BI.
1010data's tool for accessing data with Tableau with the use of the JDBC driver.
A guide for writing applications that can
access data on the Insights Platform.
Detailed reference materials for the
1010data XML API.
A guide for using Python within the 1010data query language.
A guide for using R within the 1010data query language.
A guide for using the 1010data .NET SDK to interface with the Insights Platform.
A guide for using the 1010data Java SDK to interface with the Insights Platform.
A guide to using the R SDK to interface with the Insights Platform.
Easily interact with 1010data using python with the Data Science Toolkit. The toolkit contains everything you need to get started, including the
1010data Python SDK, the TenFrame 1010data dataframe, and our Jupyter notebook extension.
Iris is an extension that connects Jupyter notebooks to 1010data. Users can query 1010data using Python, SQL, R, or 1010data Macro Code from the familiar Jupyter notebook interface. Iris also brings 1010data’s grid into Jupyter, allowing users to see all their data.
TenFrame is a dataframe that allows users to use standard Pandas syntax to query the 1010data database, making it easy for users to manipulate data. Users can query data locally or server-side with TenFrame, giving them the flexibility to choose the best approach for their needs.
1010data’s Python SDK allows developers to access 1010data via an easy-to-use Python package. Results from 1010data’s Insights Platform can be directed into your favorite Python analytics package, such as Pandas or a commercially licensed product. Supports Linux and Windows. The links below provide access to binaries, example code, documentation, and the Python changelog.
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A growing collection of tutorials and sample analyses performed in 1010data.