Rockset

FEBRUARY 2, 2022

MongoDB is a top database choice for application development. MongoDB wasn’t originally developed with an eye on high performance for analytics. Yet, analytics is now a vital part of modern data applications. Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

Rockset

MAY 12, 2022

The serving layer — often MongoDB , Elasticsearch or Cassandra — then delivers those results to both dashboards and users’ ad hoc queries. There is also a speed layer typically built around a stream-processing technology such as Amazon Kinesis or Spark. It provides instant views of the real-time data.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

Rockset

MARCH 31, 2022

On top of that, I had to make that data available to our custom-built application via a secure RESTful endpoint with a less than one second response time. By day three of my new job at Sounding Board, I was able to meet those requirements, build, and demonstrate a real-time, reporting and analytics application using Rockset and Retool.

MongoDB 52

MongoDB Data Architect SQL Data Schemas 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

Knowledge Hut

JULY 26, 2023

MongoDB): MongoDB is a prominent database software that comes under the category of "document store" databases. Document store databases, such as MongoDB, are intended to store and manage data that is unstructured or semi-structured, such as documents. Database Software- Document Store (e.g.-MongoDB): Spatial Database (e.g.-

Database 52

Database NoSQL MongoDB Telecommunication 52

Rockset

MAY 17, 2022

Their query languages, whether SQL-like variants such as CQL (Cassandra) and Druid SQL or wholly custom languages such as MQL (MongoDB), poorly support joins and other complex query commands that are standard to SQL , if they support them at all. This is intentionally not their forte.

SQL 52

SQL NoSQL Hadoop MongoDB 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93