Remove 10x-apache-kafka elasticity
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Making Confluent Cloud 10x More Elastic Than Apache Kafka

Confluent

Kafka is horizontally scalable, but it's not enough. So we made Confluent Cloud 10x more elastic - 10x faster to scale up to GB/s or down to zero, easier to use, and cost-effective.

Kafka 111
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Introducing a Cloud-Native Experience for Apache Kafka in Confluent Cloud

Confluent

In the last year, we’ve experienced enormous growth on Confluent Cloud, our fully managed Apache Kafka ® service. As Confluent Cloud has grown, we’ve noticed two gaps that very clearly remain to be filled in managed Apache Kafka services. Five seconds to Kafka (or, never make another cluster again!).

Kafka 100
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A Guide to DynamoDB Secondary Indexes: GSI, LSI, Elasticsearch and Rockset

Rockset

Cloud-based Elasticsearch, such as Elastic Cloud or Amazon OpenSearch Service, can be used to provision and configure nodes according to the size of the indexes, replication, and other requirements. DynamoDB + Elasticsearch One approach to building a secondary index over our data is to use DynamoDB with Elasticsearch.

NoSQL 52
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Building the Modern Platform with Cloudera Enterprise 6.x

Cloudera

Cloud offers solid and elastic infrastructure, but actually complicates the integration of analytics services. In the realm of machine learning, for example, data scientists can now accelerate deep learning by 5x-10x by utilizing specialized resources like GPUs. Much better to focus on higher value, differentiated strategy.