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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
Effortlessly convert your spreadsheets and data files into efficient, production-ready APIs without the need for backend coding. Simply upload your data in formats like CSV, JSONL, or Parquet, use intuitive SQL commands to clean and join your datasets, and instantly create secure and well-documented API endpoints. The platform offers various built-in functionalities, including automatically generated OpenAPI documentation, API key-based security, geospatial filtering with H3 indexing, usage analytics, and high-speed query performance. Additionally, you can download the transformed datasets at your convenience, ensuring you are not locked into any vendor. This solution accommodates everything from individual files and merged datasets to public data portals with minimal configuration required.
Key features include:
- Effortless creation of secure and documented APIs directly from CSV, JSONL, and Parquet files.
- The ability to execute familiar SQL queries for data cleaning, joining, and enrichment.
- No need for backend setup or server maintenance, making it user-friendly.
- Automatic generation of OpenAPI documentation for every endpoint established.
- Enhanced security with API key protection and isolated data storage.
- Advanced geospatial filtering, H3 indexing capabilities, and fast, scalable query optimization.
- Supports a range of data integration scenarios, making it versatile for various use cases.
API Access
Has API
No
API Access
Has API
No
Integrations
3LC
Yes
Arroyo
Yes
Blotout
Yes
CSViewer
Yes
Gravity Data
Yes
Hadoop
Yes
IBM Db2 Event Store
Yes
MLJAR Studio
Yes
Mage Sensitive Data Discovery
Yes
Meltano
Yes
Integrations
3LC
No
Arroyo
No
Blotout
No
CSViewer
No
Gravity Data
No
Hadoop
No
IBM Db2 Event Store
No
MLJAR Studio
No
Mage Sensitive Data Discovery
No
Meltano
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$10/month
1GB storage limits to upload files
10,000 requests per month request limits
10,000 requests per month request limits
Free Trial
No
Free Version
Yes
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
Digital Society
Founded
2023
Country
United Kingdom
Website
tapintodata.com