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What is Initial State?

Start your streaming adventure by utilizing simple URL parameters, or immerse yourself in the Streaming API documentation to learn how to send events in JSON format. Accessing data from your Initial State account is just as easy; you only need your private access key along with a straightforward HTTPS GET request. Discover our intuitive examples and extensive API documentation to guide you through the process. With no limits on the number of devices, data streams, or dashboards, you have the freedom to innovate and create impressive data projects. Whether you prefer to keep your information confidential or wish to share it with a larger audience, the Initial State streaming REST API simplifies both learning and implementation. A variety of open-source SDKs, including those for Python and NodeJS, are available for your ease. Moreover, you can explore several in-depth tutorials crafted to assist you in effortlessly developing functional real-time streaming projects. Our codeless data integrations further enhance this experience by allowing you to gather data from APIs with just a few clicks, removing the necessity for coding or setting up hardware to retrieve the information you seek. This efficient strategy not only makes it accessible but also enables you to concentrate on your creative projects without the hassle of complex technical details. Ultimately, the user-friendly nature of these tools encourages experimentation and innovation in data handling.

What is Apache DataFusion?

Apache DataFusion is a highly adaptable and capable query engine developed in Rust, which utilizes Apache Arrow for efficient in-memory data handling. It is intended for developers who are working on data-centric systems, including databases, data frames, machine learning applications, and real-time data streaming solutions. Featuring both SQL and DataFrame APIs, DataFusion offers a vectorized, multi-threaded execution engine that efficiently manages data streams while accommodating a variety of partitioned data sources. It supports numerous native file formats, including CSV, Parquet, JSON, and Avro, and integrates seamlessly with popular object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture is equipped with a sophisticated query planner and an advanced optimizer, which includes features like expression coercion, simplification, and distribution-aware optimizations, as well as automatic join reordering for enhanced performance. Additionally, DataFusion provides significant customization options, allowing developers to implement user-defined scalar, aggregate, and window functions, as well as integrate custom data sources and query languages, thereby enhancing its utility for a wide range of data processing scenarios. This flexibility ensures that developers can effectively adjust the engine to meet their specific requirements and optimize their data workflows.

Media

Media

Integrations Supported

PubNub

Integrations Supported

Amazon S3
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
C
Google Cloud Storage
Google Sheets
JSON
Microsoft Excel
Python
Rust
SDF
SQL

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Initial State

Date Founded

2012

Company Location

United States

Company Website

www.initialstate.com/streaming/

Company Facts

Organization Name

Apache Software Foundation

Date Founded

2019

Company Location

United States

Company Website

datafusion.apache.org

Categories and Features

IoT Analytics

Not specified

Categories and Features

Database

Not specified

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