DbVisualizer Reviews

1. V Sheregar

   | director at pacificspecialty insurance company | over 1 year ago
   useful tool

   simple to use, versatile and increases productivity

   👍 Pros:    One tool for multiple db visualization
2. Amedeo Zottola

   | Software Architect at GSD Sistemi e Servizi | over 1 year ago
   One of the best develop's tool for database

   I use DbVisualize since 2004... My personal idea is that DBVisualize is the best tool to develop complex SQL query, trigger, stored procedure...dbvis has a very simple export function to convert a query result in various format (csv, xlsx, JSON, SQL) In addition, dbvis has a very simple function to import flat data file into a table, or to generate DDL of entire database. another great functionality is a graphical editor to create a complex joins between two or more tables. Without dbvis my work be impossible!!!

   🏁 Competitors: Aqua Data Studio, IntelliJ IDEA

   👍 Pros:    Simple yet powerful and efficient tool|Great customer support

Apache Kafka Reviews

DbVisualizer mentions (0)

Apache Kafka mentions (122)

• Node.js Walkthrough: Build a Simple Event-Driven Application with Kafka

  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 / 12 days ago

• Best Practices for Building Microservices with NestJS

  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 / about 1 month ago

• Empowering Real-Time Data Pipelines: Leveraging Apache Kafka and Rudderstack

  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 / 4 months ago

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  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

• How to Use Reductstore as a Data Sink for Kafka

  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