Research and Development Archives | Page 2 of 25

NoSQL Comparison 2021: Couchbase Server, MongoDB, and Cassandra (DataStax)

March 30, 2021 | 2 Comments | Artsiom Yudovin...

Our new benchmark report includes performance results under a short-range scan workload, simulating activity typical for an e-commerce app.

The Pitfalls of Creating Appointment Scheduling Apps for Healthcare

December 31, 2020 | 0 Comments | Alex Khizhniak...

Learn about the challenges medical orgs may face when building telemedicine tools aiming to automate appointment setting for doctors and patients.

DBaaS Evaluation: Couchbase Cloud, MongoDB Atlas, and Amazon DynamoDB

December 16, 2020 | 0 Comments | Artsiom Yudovin...

Our new report compares the performance of three NoSQL databases as a service (DBaaS) while processing update-heavy activities, scans, pagination, and JOINs.

Performance Evaluation of NoSQL Databases as a Service: Couchbase Capella, MongoDB Atlas, and Amazon DynamoDB

November 24, 2020 | 0 Comments | Altoros

This technical study evaluates and compares the throughput and latency of three NoSQL databases across four different workloads and three cluster configurations.

Comparing Database Query Languages in MySQL, Couchbase, and MongoDB

November 20, 2019 | 0 Comments | Alex Khizhniak

A new study by Altoros analyzes the query performance of three database languages across nine business scenarios.

Optimizing the Performance of Apache Spark Queries

June 13, 2019 | 0 Comments | Artsiom Yudovin...

Learn how the run times of Spark Core and Spark SQL queries can be improved by speeding up slow processes and optimizing serialization tasks.

Multi-Cluster Deployment Options for Apache Kafka: Pros and Cons

March 16, 2018 | 5 Comments | Nikita Gorbachevski

This blog post investigates three models of multi-cluster deployment for Apache Kafka—the stretched, active-passive, and active-active.

MongoDB 3.4 vs. Couchbase Server 5.0 vs. DataStax Enterprise 5.0 (Cassandra)

October 27, 2017 | 0 Comments | Alex Khizhniak

The 2017 study by Altoros evaluated the three leading NoSQL solutions across 22 key parameters—such as architecture, development, administration, etc.