14 published brand profiles in this category. Cite the individual brand profile for brand-specific facts.
Amazon Kinesis - Collect streaming data, create a real-time data pipeline, and analyze real-time video and data streams, log analytics, event analytics, and IoT analytics.
Apache Flink - Recent Flink blogs Apache Flink CDC 3.6.0 Release Announcement March 30, 2026 - Yanquan Lv. The Apache Flink Community is excited to announce the release of Flink CDC 3.6.0! This release extends Flink version support to 1.20.x and 2.2.x, upgrades JDK version to 11, introduces new Oracle … Continue reading Apache Flink Agents 0.2.1 Release Announcement March 26, 2026 - Wenjin Xie. The Apache Flink
Apache Kafka - Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing.
Apache Pulsar - Apache Pulsar is a data streaming brand headquartered in Remote, founded in 2016.
Apache Spark Streaming - Spark Structured Streaming makes it easy to build streaming applications and pipelines with the same and familiar Spark APIs.
Azure Event Hubs - Azure Event Hubs is a data streaming company headquartered in Redmond, WA, founded in 2014.
Google Pub/Sub - Google Pub/Sub is a data streaming brand headquartered in Mountain View, CA, founded in 2015.
Memphis.dev - Memphis.dev is a data streaming company headquartered in Tel Aviv, Israel, founded in 2021.
NATS - These principles shape how NATS works across environments—from a single process to global systems. Core communication and data patterns emerge naturally. Pub/sub, request/reply, queueing, streaming, key-value, and object storage all operate within the same system, without extra infra or fragile abstractions.
Quix - The platform that makes raw sensor data queryable in real time, grounds AI in your domain knowledge and process history, and gives your team the tools to automate analysis, surface insights, and deploy findings fast.