Timeplus
Materialize
Apache Flink
KSQL
RisingWave
Apache Spark
Azure Stream Analytics
Amazon Kinesis
OverGroups
Ready to turn your real-time data into actions?
Timeplus Enterprise Self-Hosting: deploy on your data center or own cloud account Timeplus Proton: open-source core engine
It empowers developers to build powerful and reliable streaming analytics applications, at speed and scale, anywhere.
Overgroups connects to your stripe account and automatically ejects users who no longer have an active subscription.
Timeplus
OverGroupsNo OverGroups videos yet. You could help us improve this page by suggesting one.
OverGroups might be a bit more popular than Timeplus. We know about 1 link to it since March 2021 and only 1 link to Timeplus. 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.
* Proton is more developer friendly To explore Proton yourself, visit the [Proton GitHub repo](https://github.com/timeplus-io/proton). - Source: Hacker News / over 2 years ago
Another option, if you are already using Stripe in your project, is Overgroups. Allows you to connect the Stripe payment system with Telegram and have automatic control over who has access to your private Telegram group or channel. Source: over 4 years ago
Materialize - A Streaming Database for Real-Time Applications
Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
KSQL - Confluent KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafkaยฎ.
RisingWave - RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.