Rockset

MARCH 15, 2021

This includes making the data available for query as soon as it is ingested, creating proper indexes on the data so that the query latency is very low, and much more. Before it can be ingested, there’s usually a data pipeline for transforming incoming data. latency, indexing, etc.),

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

FEBRUARY 25, 2021

A lot of data systems that provide real-time analytics require non-trivial ETL (extract, transform, load) to get the data into the “right” shape, or may not provide the analytical functionality required by the application. Joins, in particular, are rarely well supported by alternative real-time analytics solutions.

SQL 40

SQL Data Pipeline Kafka Database 40

AltexSoft

OCTOBER 21, 2022

However, there is a range of open-source client libraries enabling you to build Kafka data pipelines with practically any popular programming language or framework. Kafka offers different protection mechanisms like data encryption in motion, authentication, and authorization. In former times, Kafka worked with Java only.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93