Toucan is a customer-facing analytics platform that empowers companies to drive engagement with data storytelling. Features include:
Guided data visualization, allowing the user to focus on the story to be told rather than on chart selection, layout, etc.
An App Gallery that provides dozens of starter apps (including sample data) that a user can use either as is or as the starting point for creating a customized set of dashboards
Embedding can be performed by even novice users and is available as web components or iFrames
Deployment to all modes — desktop web, smartphones, tablets, wall displays, and kiosks — is done in just a few clicks and with no extra development work
Hundreds of included interactive and animated charts combined with a thoroughly modern UI make Toucan one of the best-looking platforms on the market
Hundreds of included connectors make adding data sources — cloud, on-premises, stored, or streaming — quick and easy
As a result, Toucan has been rated the #1 Easiest to Use Platform on G2 Crowd and is used 3x the industry average.
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Based on our record, Apache Kafka seems to be more popular. It has been mentiond 121 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Choose a consistent communication protocol for inter-service communication. Common protocols include HTTP, gRPC, and message brokers like RabbitMQ or Kafka. NestJS supports various communication strategies, allowing you to choose the one that best fits your needs. - Source: dev.to / 10 days ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / 3 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 4 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 4 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 5 months ago
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