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Description
Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.
Description
Kwil represents a groundbreaking approach as the first decentralized SQL database owned by the community, specifically designed to aid in the creation of sophisticated decentralized applications (dApps) and protocols. By offering a highly scalable SQL database that is familiar to Web2 developers, Kwil accelerates the dApp development process significantly. Traditionally, developers have had to navigate intricate and inefficient blockchain-based data management systems to operate within a decentralized framework. However, KwilDB streamlines the development experience, providing a cost-effective and scalable solution for managing extensive data storage and querying needs. This capability not only simplifies decentralized data management but also allows dApps to effortlessly integrate with data from various other applications. The advantages of building on KwilDB include dramatically reduced development times, the capacity to perform complex queries across vast datasets swiftly, and improved access to data from diverse sources, fostering a high level of composability. Ultimately, KwilDB transforms the landscape of decentralized application development by making it more efficient and accessible for developers.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Arweave
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Integrations
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Arweave
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache Software Foundation
Founded
2019
Country
United States
Website
datafusion.apache.org
Vendor Details
Company Name
Kwil
Country
United States
Website
kwil.com
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Product Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization