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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
Begin your streaming journey with straightforward URL parameters, or dive directly into the Streaming API documentation to discover how to transmit events using JSON format. Accessing data from your Initial State account is equally straightforward; all that's required is your private access key and a simple HTTPS GET request. Explore our user-friendly examples and comprehensive API documentation for guidance. With no restrictions on the number of devices, data streams, or dashboards, you can unleash your creativity and build remarkable data projects. Whether you want to keep your data private or share it with a broader audience, the Initial State streaming REST API makes it simple to learn and implement. A range of open-sourced SDKs for languages like Python and NodeJS are readily available for your convenience. You can also follow several detailed tutorials designed to help you create practical, real-time streaming projects effortlessly. Additionally, our codeless data integrations enable you to acquire data from APIs with just a few clicks, eliminating the need for coding or setting up a single-board computer to obtain the information you desire. This streamlined approach empowers users to focus on their projects without getting bogged down by technical complexities.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
Integrations
Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
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
Initial State
Founded
2012
Country
United States
Website
www.initialstate.com/streaming/
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
IoT Analytics
Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking
