Set up connection between different systems in a few minutes: CRM, Messengers, Google Docs, Call Tracking, Callbacks, Online chats and much more. Through user-friendly interface, assign actions according to the principle: if something has happened in one system, then you need to perform the corresponding action in another service
ApiX-Drive has filled the gap in our marketing process and provided us with valuable time-saving automation options
We removed most of the repetitive tasks related to data exchange in our department. We also automated the distribution of tasks among copywriters. This made it possible to increase the efficiency of the department.
The ApiX-Drive service helped create a whole range of integrations of various systems, with the help of which data is synchronized. I use many online tools at work, and syncing data often takes a lot of time. With the help of apix-drive, most of these tasks are now performed in automatic mode.
Based on our record, Apache Kafka seems to be more popular. It has been mentiond 120 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.
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 / about 1 month 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 / 2 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 / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 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 / 3 months ago
RabbitMQ - RabbitMQ is an open source message broker software.
Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
Stape.io - The easiest way to server-side tracking. Everything from server Google Tag Manager and Meta`s CAPIG hosting to custom solutions.
Amazon SQS - Amazon Simple Queue Service is a fully managed message queuing service.
Addingwell - Addingwell delivers fast and reliable fully-managed tagging servers for your Google Tag Manager server-side.