Sorting and querying data shouldn’t be complicated. With RangeFile, you can convert CSV files to Parquet, organize, store, and extract the insights you need—without the hassle of slow spreadsheets, complex tools, or coding expertise. Our no-code platform makes data structuring effortless for everyone.
RangeFile’s Data Viewer lets you seamlessly explore and query your data once your Parquet file is created—ensuring faster, more efficient data handling compared to traditional CSVs. With Parquet’s optimized columnar storage, queries run faster, and file sizes stay compact, making data processing smooth and scalable. Effortlessly filter and analyze your dataset using simple rules, custom SQL queries, or AI-generated SQL in plain English. Get instant insights when you need them, without the complexity of traditional data tools.
Save Time, Eliminate Frustration
Working with 1 million rows and more shouldn’t slow you down. RangeFile helps you sort, filter, and query your data, ensuring faster insights without slowdowns. Whether you're working with hundreds or thousands of rows, our platform optimizes data handling so you can focus on analysis and not wait for files to load.
Extract exactly what you need—without the complexity. With RangeFile, you can:
Define your parameters from dataset columns.
Use custom SQL queries for precise data selection.
Leverage AI-assisted SQL query building or ask questions in plain English to get insights faster.
No advanced SQL skills? No problem. Our intuitive interface makes querying data effortless.
Keep your data accessible and ready to use. With cloud-based storage and optimized file formats, RangeFile ensures your processed data stays secure and easy to retrieve. Export your structured data as Parquet or .CSV and integrate it seamlessly into Excel, visualization tools, or analytics platforms.
Stop wrestling with large CSV files. RangeFile makes it easy to organize, query, and export your data—so you can focus on insights instead of manual work.
Process CSV files too big for spreadsheets—without crashes or slowdowns.
Easily organize your data with options to sort by columns, apply quadtree optimization, or use advanced DuckDB SQL queries—tailored to fit your needs.
Write SQL queries manually or use AI-assisted query building to extract insights faster.
No complex tools or expensive software—just an efficient way to organize and query data.
Store your processed data securely in the cloud with built-in reliability and easy access.
Download your data as Parquet or CSV for seamless integration with your favorite tools.
RangeFile is built to help you organize, query, and export data efficiently, so you spend less time sorting through CSV files and more time gaining insights. Whether you’re working with high-row-count datasets or need quick access to structured information, RangeFile gives you control—without the complexity of traditional database tools.
With an optimized processing engine and smart file handling, RangeFile ensures fast querying, efficient storage, and flexible data export options to keep your workflow seamless
RangeFile makes it easy to query and extract the right data quickly, so you’re not stuck sifting through endless rows of information. Whether you need to filter key parameters, run SQL queries, or utilize AI-assisted query building, RangeFile provides the right tools at your fingertips—without the complexity of traditional databases. Optimized processing and cloud efficiency enable you to achieve faster results and seamlessly export structured data.
Find answers to the most common questions about RangeFile. If you don’t see your question here, feel free to reach out to our support team.
RangeFile is a cloud-based tool for organizing, filtering & sorting, storing, querying, and exporting data in .CSV and Parquet file formats. It is lightweight and user-friendly, focusing on essential features and making it easy to use without advanced skills or expensive hardware.
With DuckDB’s SQL querying capabilities, RangeFile delivers fast, efficient data processing and powerful query functionality. Leveraging Parquet files optimizes data storage and processing, offering reduced file sizes, faster performance, and seamless compatibility with other tools.
Unlike complex platforms built for developers, RangeFile is designed for individuals and small businesses, simplifying data preparation while eliminating the frustration of manual sorting. Focus on insights, not complexity, with RangeFile’s streamlined and efficient approach.
No technical expertise is required! RangeFile is designed to be user-friendly and intuitive, making it easy for anyone to organize and extract data with just a few clicks. Our no-code platform and AI-assisted queries simplify the process, eliminating the need for coding or complex queries. Whether you're experienced with big data tools or new to them, RangeFile makes data structuring effortless.
Sorting in RangeFile allows you to organize your data based on specific parameters, such as columns, ensuring it is structured to make analysis and decision-making easier. By using sorting, you can group related information, identify trends, and prioritize the data points most relevant to your goals.
This feature eliminates the need for manual reorganization, saving you time and reducing the risk of errors. Whether you filter data by dates, values, or categories, RangeFile’s sorting capabilities simplify the process, ensuring your data is well-organized, accessible, and ready for further processing or export.
RangeFile overcomes the limitations of traditional software by leveraging cloud-based processing and efficient data handling with Parquet files. Parquet’s columnar storage format reduces file sizes and speeds up data structuring, ensuring quick and reliable performance even for larger datasets.
Behind the scenes, RangeFile uses advanced query optimization to streamline operations, enabling you to efficiently organize, filter, and export data. By bypassing local hardware constraints, RangeFile empowers you to work with your data seamlessly, exporting it as .CSV or Parquet files without the typical frustrations of managing large files.
RangeFile uses secure cloud storage through Amazon Web Services (AWS). Each user has their own protected storage bucket, ensuring your data is accessible and secure from unauthorized access.
RangeFile exports your organized data in commonly used formats, such as .CSV and Parquet, allowing seamless integration with other platforms and tools. You can use your output file in the software of your choice for further analysis or visualization.
Absolutely! RangeFile allows you to define the parameters that matter most to your project, so you can easily organize and extract data subsets based on your needs without manual processing or coding.
No, RangeFile does not use your data to train OpenAI's models. We utilize OpenAI's API to provide AI-assisted queries, and according to OpenAI's data usage policies, data submitted through their API is not used to train or improve their models unless customers explicitly opt-in. Additionally, OpenAI retains API data for up to 30 days solely for abuse and misuse monitoring purposes, after which it is deleted unless otherwise required by law.
We’re excited to bring you along on this journey and can’t wait to hear your feedback!