Apache Spark Alternatives

My experience with Amazon Kinesis Data Analystics has been really good and positive, thanks to the community of amazon that help me with the setup

It offers a leading-enterprise-grade event streaming platform built around the industry's de-facto standard Apache Kafka. It offers a robust set of tools for real-time data streaming, integration, and processing at scale, and in the latest versions it has incorporated data quality and data contracts with a rule engine to ease the data quality processes.

Google Cloud Dataflow offers a solid, seamless infrastructure that reduces duplicated logic across systems and optimizes resources.

Apache Storm is an one of the best opensource, real-time processing and distributed computation system available. It comes with best fault tolerant and stateless in nature, increases the performance.

Cribl is the easiest and fastest way to get event data from point A to point B, in an organized fashion.

A powerful and versatile service that stands out a robust solution for real time data analysis and event processing. Provides seamless data integration which can ingest data from variety of sources, including IoT devices, social media, sensors, and applications. Its real time data processing ensures that businesses can make quick and informed decisions based on fresh and actionable insights. Its scalability and integration allows organization to adapt to changing data volumes effortlessly also enabling users to leverage the power of Azure ecosystem for more advanced analytics and machine learning. Its extensive connectivity offers a vast library of connectors to various data sources and sinks.

Confluent Cloud is efficient and provides immense data computing power and it has also done well integrating with our different services. Having the effective and easily accessible operational support in the background of this tool truly makes it work for our needs.

Everything about Aiven has really been great. Personally i like the partition information about the size, offset etc. With it, it's very easy to create new clusters and enable connectivity with public cloud environments. Also, the user management is quite simple thus making it very easy to work with.