Hevo

AUGUST 15, 2023

MongoDB Atlas excels at storing and processing unstructured and semi-structured data, while PostgreSQL offers scalability and advanced analytics. MongoDB Atlas to PostgreSQL integration forms a robust ecosystem that addresses the technical challenges associated with data management and analysis.

MongoDB 52

MongoDB PostgreSQL Structured Data Data 52

Knowledge Hut

MARCH 27, 2024

Use Cases Ideal for applications requiring structured storage and retrieval of data, such as in business or web development. Essential in programming for tasks like sorting, searching, and organizing data within algorithms. Supports complex query relationships and ensures data integrity.

Database 52

Database Algorithm Relational Database PostgreSQL 52

Rockset

JULY 9, 2019

One of the main hindrances to getting value from our data is that we have to get data into a form that’s ready for analysis. Consider the hoops we have to jump through when working with semi-structured data, like JSON, in relational databases such as PostgreSQL and MySQL. It sounds simple, but it rarely is.

Relational Database 40

Relational Database PostgreSQL MySQL Database 40

Rockset

AUGUST 2, 2023

The steps Windward takes to create proprietary data and AI insights As Windward operated in a batch-based data stack, they stored raw data in S3. They used MongoDB as their metadata store to capture vessel and company data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Rockset

SEPTEMBER 20, 2022

Image Source There are several companies that enable users to analyze on-chain data, such as Dune Analytics, Nansen, Ocean Protocol, and others. Many of these services, as well as the dApps they may support, are built on transactional (OLTP) databases such as PostgreSQL, DynamoDB, MongoDB and others.

PostgreSQL 52

PostgreSQL MongoDB SQL Datasets 52

Rockset

OCTOBER 20, 2021

Let’s walk through an example workflow for setting up real-time streaming ELT using dbt + Rockset: Write-Time Data Transformations Using Rollups and Field Mappings Rockset can easily extract and load semi-structured data from multiple sources in real-time. DynamoDB or MongoDB), and relational databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

SEPTEMBER 3, 2020

MongoDB’s Advantages & Disadvantages MongoDB has comprehensive aggregation capabilities. You can run many analytic queries on MongoDB without exporting your data to a third-party tool. In this situation, the MongoDB cluster doesn’t have to keep up with the read requests. What Is PostgreSQL?

MongoDB 40

MongoDB PostgreSQL SQL Database 40