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Description
APITube serves as a comprehensive News API, transforming international news reports into structured JSON format. It consolidates articles from over 500,000 authenticated sources spanning more than 180 nations and available in more than 60 languages, enhancing each article with sentiment analysis, identified entities (such as individuals, organizations, places, and brands), IPTC classifications, as well as relevant topics and industries.
Developers can utilize a singular search endpoint equipped with more than 65 filtering options—such as keywords, language preferences, country of origin, source domain, quality ranking, sentiment thresholds, entity identifiers, media presence, and specific date ranges—allowing them to tailor their requests conveniently. In addition, dedicated endpoints provide access to top headlines, grouped stories, trends across various time intervals, and a live Server-Sent Events stream; new matches are automatically sent through webhooks whenever they are indexed.
Responses are primarily formatted as JSON, while paid plans allow for exports in XML, CSV, TSV, XLSX, JSONL, and Parquet formats. With a simple authentication process utilizing a single API key, a hosted MCP server also makes the same search capabilities available to AI assistants, enhancing the integration of news data into various applications. This extensive framework ensures that users have a versatile and efficient means of accessing and utilizing global news information.
Description
Parquet was developed to provide the benefits of efficient, compressed columnar data representation to all projects within the Hadoop ecosystem. Designed with a focus on accommodating complex nested data structures, Parquet employs the record shredding and assembly technique outlined in the Dremel paper, which we consider to be a more effective strategy than merely flattening nested namespaces. This format supports highly efficient compression and encoding methods, and various projects have shown the significant performance improvements that arise from utilizing appropriate compression and encoding strategies for their datasets. Furthermore, Parquet enables the specification of compression schemes at the column level, ensuring its adaptability for future developments in encoding technologies. It is crafted to be accessible for any user, as the Hadoop ecosystem comprises a diverse range of data processing frameworks, and we aim to remain neutral in our support for these different initiatives. Ultimately, our goal is to empower users with a flexible and robust tool that enhances their data management capabilities across various applications.
API Access
Has API
Yes
API Access
Has API
No
Screenshots View All
No images available
Integrations
APERIO DataWise
No
Amazon SageMaker Data Wrangler
No
Astera Dataprep
No
CSViewer
No
Ficstar
No
Gravity Data
No
GribStream
No
Hadoop
No
Indexima Data Hub
No
Mage Platform
No
Integrations
APERIO DataWise
Yes
Amazon SageMaker Data Wrangler
Yes
Astera Dataprep
Yes
CSViewer
Yes
Ficstar
Yes
Gravity Data
Yes
GribStream
Yes
Hadoop
Yes
Indexima Data Hub
Yes
Mage Platform
Yes
Pricing Details
$29/month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
APITube
Website
apitube.io
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
parquet.apache.org