Centralize data from multiple file sources for better analytics and downstream processing.
Easily sync files from various sources such as sales records, customer feedback, and logs.
Ingest CSVs, JSONs and spreadsheets received from external vendors to support internal systems.
With a fully managed platform, you won't have to worry about development and maintenance.
Text-Based and Markup Files: CSVS, TSV, TXT, LOG, XML, YAML, Properties, and JSON files. Binary, spreadsheet, and compressed formats: Avro, Parquet, ORC, Excel (XLS/XLSX), Google Sheets, .tar.gz, and .zip files.
Skip headers automatically: Prevent metadata from being included in your loaded schema. Locate and load files quickly: Use file pattern and folder search to filter and replicate only the files you need.
Transform data as needed: Normalize and structure files for consistency and better analytics. Auto-map destination schema: Match tables and columns in destination without manual input.
We were able to get everything set up in about three days. 0 maintenance, very high accuracy. Most of the things that you could think about were handled.
With Hevo, moving data into our data lake is effortless. It eliminates complex schema management, pipelines, and transformations that would otherwise be time consuming and laborious.
With Hevo, downtime and pipeline breakages are a thing of the past. 24/7 responsive support resolves issues quickly, keeping our data operations running smoothly at all times.