Apache Pulsar is an open source streaming platform that addresses important limitations in Kafka, particularly for cloud-native applications.
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5 More Reasons to Choose Apache Pulsar Over Apache Kafka
Author’s note: I originally published this blog post in 2019, while I was CEO of Kesque, a real-time messaging service built on Apache Pulsar, the cloud-native distributed messaging and streaming platform. It’s a follow-up to an earlier post, “7 Reasons to …
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Bring Streaming to Apache Cassandra with Apache Pulsar
How can you stream from Pulsar to Apache Cassandra, the powerful NoSQL database designed to support data-heavy applications in the cloud?
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Full Stream Ahead: Astra Streaming, Powered by Apache Pulsar
Astra Streaming is a massively scalable, highly performant event streaming and cloud messaging platform that addresses the data in motion requirements for modern data apps.
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Why Pulsar Beats Kafka for a Scalable, Distributed Data Architecture
The leading open source event streaming platforms are Apache Kafka and Apache Pulsar. For enterprise architects and application developers, choosing the right event streaming approach is critical, as these technologies will help their apps scale up around data to support …
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The Critical Role Streaming Plays in a Data Stack
In this article we are discussed Why Apache Pulsar and its support for streaming data is the right choice for multi-datacenter, geo-distributed deployments.
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Building Scalable Streaming Applications with DataStax Astra Streaming
DataStax Astra Streaming with a step-by-step tutorial that illustrates how it can be used to easily build scalable, streaming applications.
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Simplify Migrating from Kafka to Pulsar with Kafka Connect Support
The new Kafka Connect Adaptor completes the Pulsar-Kafka compatibility ecosystem, allowing an iterative transition from Kafka to Pulsar.
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7 Reasons to Choose Apache Pulsar over Apache Kafka
When you set out to build the best messaging infrastructure service, the first step is to pick the right underlying messaging technology!
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Fast JMS for Apache Pulsar: Modernize and Reduce Costs with Blazing Performance
Learn today how you can modernize and reduce costs with blazing performance with fast JMS for Apache Pulsar.
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Best Practices for Data Pipeline Error Handling in Apache NiFi
We have tools such as Apache NiFi, which allow us to design and manage our data pipelines, reducing the amount of custom programming and increasing overall efficiency.
Yet, when it comes to creating them, a key and often neglected aspect is minimizing potential errors.
Although many factors influence a NiFi data pipeline, three important ones are: understanding the nature of your data sources and targets, minimizing maintenance, and following best practices.
