We are DATPROF, a software vendor specializing in simplifying test data. With the help of our Test Data Management Platform, we ensure accessible test data for medium to large-size organizations worldwide.
Our toolset helps identify PII/PHI data, create and anonymize referentially intact subsets of databases, generate synthetic test data, virtualize containerized databases, and automate the deployment in either a scheduled or self-service manner.
Based on our record, Apache Kafka seems to be more popular. It has been mentiond 122 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.
Apache Kafka is a powerful tool for building EDA systems. It’s an open-source platform designed for handling real-time data feeds. Apache Kafka on Heroku is a Heroku add-on that provides Kafka as a service. Heroku makes it pretty easy to deploy and manage applications, and I’ve been using it more in my projects recently. Combining Kafka with Heroku simplifies the setup process when you want to run an event-driven... - Source: dev.to / 2 days ago
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 / 21 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 / 5 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 / 5 months ago
RabbitMQ - RabbitMQ is an open source message broker software.
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Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
CloudTDMS - CloudTDMS automates the process of test data generation for dev & test purposes. While at the same time ensuring compliance to regulatory and organisational policies & standards as well as Data Discovery & Profiling.
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.
Solix Enterprise Data Management Suite - Solix EDMS offers universal access to all archived data for business users through full-text search, structured SQL queries, forms & reports.