Rockset

FEBRUARY 18, 2021

Using RockBench, we ascertained Rockset’s suitability for many real-time analytics applications due to its ability to keep data latency to under 1 second, while ingesting 1 billion events per day, on a standard 4XLarge Virtual Instance. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Rockset

MARCH 15, 2021

The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them. Indexing Efficiency Indexing data is another crucial requirement for real-time analytics applications.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

FEBRUARY 25, 2021

Joins are often used in real-time analytics applications to combine streaming data (usually representing events) with static data (like customer information). Other blogs in this Elasticsearch or Rockset for Real-Time Analytics series: Part 1: Managing Clusters vs Going Serverless Part 2: How Much Query Flexibility Do You Have?

SQL 40

SQL Data Pipeline Kafka Database 40

AltexSoft

OCTOBER 21, 2022

It also provides books , academic papers, and educational videos to explore the technology in more detail. You may also learn Kafka with Confluent which offers white papers and guides on different aspects of Kafka along with video courses and tutorials for developers. Kafka disadvantages. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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Read more on: How embedded analytics is transforming product roadmaps How to add value to your software with predictive analytics Common mistakes to avoid when presenting data Download the white paper to learn about the essential guide to analytic applications.

Analytics Application