The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise, helping you rapidly adopt a modern data architecture. With Striim you can build streaming data pipelines to cloud environments - such as Microsoft Azure, Amazon AWS, and Google Cloud Platform - as well as Kafka, Hadoop, NoSQL and relational databases (on-premises or in the cloud) with reliability, security, and scalability.
IBM Streams is ranked 12th in Streaming Analytics while Striim is ranked 15th in Streaming Analytics. IBM Streams is rated 0.0, while Striim is rated 0.0. On the other hand, IBM Streams is most compared with Confluent, Apache NiFi, Google Cloud Dataflow, Azure Stream Analytics and Apache Spark, whereas Striim is most compared with Confluent, Talend Data Streams, Apache Flink and PubSub+ Event Broker.
See our list of best Streaming Analytics vendors.
We monitor all Streaming Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.