Flatfile vs Google BigQuery Data Transfer Service
Overview
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Detailed Comparison
BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code. | The drop-in data importer that implements in hours, not weeks. Give your users the import experience you always dreamed of, but never had time to build. |
| - | Client-side data mapping; Custom validation; Browse & search import history;
AI-assisted imports; Upload CSV, XLS, or paste data;
Easy to configure UI component |
Statistics | |
Stacks 17 | Stacks 6 |
Followers 20 | Followers 20 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Google BigQuery Data Transfer Service, Flatfile?
Uploadcare
Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing, and delivering users’ content.
Transloadit
Transloadit handles file uploading & file processing for your websites and mobile apps. We can process video, audio, images and documents.
Bytescale
Bytescale is the best way to serve images, videos, and audio for web apps. Includes: Fast CDN, Storage, and Media Processing APIs.
Uppy
Uppy is a sleek modular file uploader for web browsers. Add it to your app with one line of code, or build a custom version with just the plugins you need via Webpack/Browserify. 100% open source, backed by a company (Transloadit).
Filestack
Filepicker helps developers connect to their users' content. Connect, Store, and Process any file from anywhere on the Internet.
CarrierWave
This gem provides a simple and extremely flexible way to upload files from Ruby applications. It works well with Rack based web applications, such as Ruby on Rails.
AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
AWS Snowball Edge
AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.
Requests
It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
Paperclip
It is intended as an easy file attachment library for ActiveRecord. The intent behind it was to keep setup as easy as possible and to treat files as much like other attributes as possible.
