Aggregated Data Analytics Application Google Cloud MongoDB 
AltexSoft
OCTOBER 21, 2022
This enables systems using Kafka to aggregate data from many sources and to make it consistent. Instead of interfering with each other, Kafka consumers create groups and split data among themselves. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Kafka vs ETL.
Rockset
APRIL 15, 2022
Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks). This democratized stream processing and enabled many more companies to begin tapping into their pent-up supplies of real-time data.
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