Whatagraph
Owler
QlikSense
Foxmetrics
Looker
Pyramid 2018
Jaspersoft
Logi Analytics
Apache Kafka
RabbitMQ
Apache ActiveMQ
Amazon SQS
StatCounter
Histats
IBM MQ
AFSAnalytics
Whatagraph Apache KafkaBased on our record, Apache Kafka seems to be a lot more popular than Whatagraph. While we know about 120 links to Apache Kafka, we've tracked only 4 mentions of Whatagraph. 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.
I recommend pulling this easily into whatagraph.com through drag & drop functionality. Amazing integration depth, also! Source: almost 3 years ago
Try whatagraph.com. Should do the job for you. Source: about 3 years ago
Hey everyone, Just like the title says that's what Whatagraph.com is - those of you who are looking to significantly improve your data aggregation, visualization, and reporting capabilities, I would love to invite you to our webinar next week on Tuesday at 3pm BST.https://www.linkedin.com/events/6793088092371763200/. Source: about 3 years ago
The space I am more aware of is the data integration part of the process, and my team uses hotglue (though hotglue is built for developers) to collate the data into one place, do any transformations necessary (the transformations are done in Python in hotglue), and then send it to the tool we use (we recently switched from Databox to Whatagraph). The nice thing about this for us is we can actually remain on the... Source: about 3 years 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 / 2 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 / 4 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 4 months ago
Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.
RabbitMQ - RabbitMQ is an open source message broker software.
QlikSense - A business discovery platform that delivers self-service business intelligence capabilities
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Foxmetrics - We track the interactions of your customers with your web or mobile applications in real-time, and provide actionable metrics that will help increase your conversion.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.