Rockset

MARCH 15, 2021

When working with a real-time analytics system you need your database to meet very specific requirements. 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. latency, indexing, etc.),

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. What does the high-performance data project have to do with the real Franz Kafka’s heritage? process data in real time and run streaming analytics. Practically, nothing. Kafka topic and partition.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Rockset

FEBRUARY 25, 2021

It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Two of these real-time analytics solutions are Elasticsearch and Rockset. Furthermore, storing this data in tables is rarely sufficient.

SQL 40

SQL Data Pipeline Kafka Database 40