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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

A single cluster can span across multiple data centers and cloud facilities. This allows for easy horizontal scaling — just add new servers or data centers to your existing infrastructure to handle more amount of data. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Kafka 93
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Rockset: 1 Billion Events in a Day with 1-Second Data Latency

Rockset

Before the advent of real-time databases, a user would typically use a data pipeline to clean and homogenize all the fields, flatten nested fields, denormalize nested objects and then write it out it to a data warehouse like Redshift or Snowflake. The data warehouse is then used to gather insights from their data.

Bytes 40
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Elasticsearch or Rockset for Real-Time Analytics: Managing Clusters vs Going Serverless

Rockset

Many of the benefits Rockset offers come from a cloud-native architecture approach. Elasticsearch doesn’t have this benefit, as it was created in 2010—during the data center era, before infrastructure was as cloud-focused as it is today. Rockset has taken advantage of decoupling compute and storage to improve performance.