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What is Tinybird?

Leverage Pipes to effortlessly query and manipulate your data, presenting a fresh technique for connecting SQL queries inspired by the functionality of Python Notebooks. This innovative strategy is designed to reduce complexity while ensuring top-notch performance. By segmenting your query into multiple nodes, you significantly improve both the development and upkeep of your data processes. With a single click, you can deploy your API endpoints, making them production-ready in no time. Transformations occur in real-time, guaranteeing that you always have access to the latest data available. You can easily and securely share data access with just one click, yielding prompt and reliable results. Tinybird not only provides monitoring tools but is also built to scale with ease, alleviating concerns about sudden increases in traffic. Visualize the capability to convert any Data Stream or CSV file into a fully secured real-time analytics API endpoint within minutes. We support high-frequency decision-making across various industries, including retail, manufacturing, telecommunications, government, advertising, entertainment, healthcare, and financial services, thereby making data-driven insights available to diverse organizations. Our mission is to enable businesses to make quick and informed decisions, ensuring they remain competitive in a rapidly changing environment while fostering innovation and growth.

What is Hitachi Streaming Data Platform?

The Hitachi Streaming Data Platform (SDP) is specifically designed for the real-time processing of large volumes of time-series data as it is generated. By leveraging in-memory and incremental computation methods, SDP facilitates swift analyses that avoid the usual lags associated with traditional data processing approaches. Users can define summary analysis scenarios using Continuous Query Language (CQL), which has a syntax similar to SQL, thereby allowing flexible and programmable data analysis without the need for custom-built applications. The platform's architecture comprises various elements such as development servers, data-transfer servers, data-analysis servers, and dashboard servers, which collectively form a scalable and efficient ecosystem for data processing. Moreover, SDP’s modular architecture supports numerous data input and output formats, including text files and HTTP packets, and integrates effortlessly with visualization tools like RTView for real-time performance tracking. This thoughtful design guarantees that users can proficiently manage and analyze their data streams as they happen, ultimately empowering them with actionable insights. As a result, organizations can respond more quickly to changing data conditions, significantly enhancing their operational agility.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Disco.dev
Google Cloud BigQuery
Google Cloud Storage
Resmo
Snowflake
Workers by Delos

Integrations Supported

Virtana Platform

API Availability

Has API

API Availability

Has API

Pricing Information

$0.07 per processed GB
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Not specified

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Tinybird

Date Founded

2019

Company Location

United States

Company Website

www.tinybird.co

Company Facts

Organization Name

Hitachi

Company Location

Japan

Company Website

www.hitachi.com

Categories and Features

API Management

Not specified

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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