AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Rockset

MARCH 15, 2021

Thus queries can access data in the memory itself and don’t have to wait until it is written to the disk. In contrast, real-time analytics often involves data coming from an operational database, like MongoDB or DynamoDB, which is updated frequently. For each commonly used data source (for example S3, Kafka, MongoDB, DynamoDB, etc.),

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

FEBRUARY 6, 2019

Common Lambda Architectures: Kafka, Spark, and MongoDB/Elasticsearch If you are a data practitioner, you would probably have either implemented or used a data processing platform that incorporates the Lambda architecture. The final output would be written to a serving system like Apache Cassandra, Elasticsearch or MongoDB.

Lambda Architecture 40

Lambda Architecture Architecture MongoDB Kafka 40