Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
GribStream is an advanced API that efficiently delivers historical weather forecasts, allowing users to quickly access both historical and current weather information sourced from the National Blend of Models (NBM) and the Global Forecast System (GFS). It is tailored for organizations, meteorologists, and researchers, enabling the retrieval of vast amounts of data—tens of thousands of data points—every hour, all within a matter of seconds through a single HTTP request. The platform boasts a user-friendly API, complete with open source clients and comprehensive documentation, ensuring seamless integration for users. With support for multiple output formats, including CSV, Parquet, JSON lines, and various image formats such as PNG, JPG, and TIFF, it allows for flexible data handling. Users can easily specify their desired locations using latitude and longitude coordinates and can also define specific time ranges for the data they wish to access. Additionally, GribStream is continuously enhancing its features by working on incorporating more datasets, expanding result formats, improving aggregation methods, and developing notification systems to better serve its users. This ongoing commitment to improvement ensures that GribStream remains a valuable tool for weather data analysis and decision-making.
API Access
Has API
No
API Access
Has API
Yes
Integrations
3LC
Yes
Amazon Data Firehose
Yes
Astera Dataprep
Yes
Ficstar
Yes
Flyte
Yes
Gable
Yes
GribStream
Yes
Indexima Data Hub
Yes
MLJAR Studio
Yes
Microsoft Excel
No
Integrations
3LC
No
Amazon Data Firehose
No
Astera Dataprep
No
Ficstar
No
Flyte
No
Gable
No
GribStream
No
Indexima Data Hub
No
MLJAR Studio
No
Microsoft Excel
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$9.90 per month
Free Trial
No
Free Version
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
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
parquet.apache.org
Vendor Details
Company Name
GribStream
Country
United States
Website
gribstream.com