Lenses.io
Confluent
Striim
Amazon Kinesis
Calisti
Fivetran
Azure Event Hubs
HVR
Google Cloud Pub/Sub
Apache Kafka
RabbitMQ
Amazon Kinesis
PieSync
Apache Flink
Confluent
Azure Logic Apps
Lenses.io delivers DataOps for any self-managed or Cloud Apache Kafka including AWS MSK, Azure HDInsight and Confluent Cloud. Lenses provides self-service platform administration, security, governance and monitoring for Kafka.
Lenses makes engineering teams working with Apache Kafka successful by improving productivity and reducing complexity leading up to 95% faster time to market and reduced operational cost. This means faster and more predictable delivery of strategic real-time projects.
Lenses.io Google Cloud Pub/SubNo Google Cloud Pub/Sub videos yet. You could help us improve this page by suggesting one.
Based on our record, Google Cloud Pub/Sub should be more popular than Lenses.io. It has been mentiond 15 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.
I liked https://lenses.io/ Lots of capabilities but it's not free as I know. Source: about 1 year ago
Currently I'm using Lenses:https://lenses.io/ as UI tool, but while turning on kafka-start-server server.properties and launch the UI on localhost, it failed to connect:. Source: about 2 years ago
Oh thats sad to hear ... lenses.io is so powerful I am not sure how I would have gotten by to this point without it! Source: about 2 years ago
In Addition to the more critical replys from others, why Kafka still makes sense imo: - you could organist everything with custom pipeline/services at your scale. The cost of maintaining those and keep the technology up to date is growing exponentially with every new Service. Kafka offers ansinge Plattform with a couple components which need to be kept up to date. - deploying, managing and monitoring those service... Source: over 2 years ago
Https://lenses.io/ Kafka UI is pretty solid. Nice to see an open source alternative here. - Source: Hacker News / over 2 years ago
Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly. Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of... - Source: dev.to / 7 months ago
Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier. - Source: dev.to / 12 months ago
Cloud Pub/Sub: A global messaging service for event-driven architectures. - Source: dev.to / about 1 year ago
Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams. - Source: dev.to / over 1 year ago
That gets triggered when a Pub/Sub topic is fired (from the webhook function). - Source: dev.to / over 1 year ago
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.
Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.
RabbitMQ - RabbitMQ is an open source message broker software.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Calisti - Calisti easily manages multiple clusters with a single service mesh manager, each cluster with a synchronized, separate control pane.