Realm.io VS Amazon Redshift

Realm.io Reviews

Amazon Redshift Reviews

Realm.io mentions (24)

• I built a WebComponents-based framework

  Looks really cool, I like to make very minimalistic dependency choices for the web apps I work on. Web Components look interesting and it's great to see frameworks that build upon it and provide features that are currently missing from it. When I landed on the page I remembered another Realm framework I used a lot long time ago. https://realm.io has the same name and the logo looks very similar too. Not sure if... - Source: Hacker News / 8 months ago

• Realm Database, Expo SDK 49 and Expo Router Getting Started

  Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. - Source: dev.to / 9 months ago

• Looking for android java developer mentor

  I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: 11 months ago

• Want to build a simple database app....Where do I start

  Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 1 year ago

• Firebase vs MongoDB atlas

  There is some crossover between the BaaS of Firebase and what MongoDB Atlas is offering if you are developing using Atlas Sync and Realm. Even so, there is a whole lot more you can find in terms of tutorials and community support for Firebase so it is hard to know how many of the Mongo claims are just future bugs for your project vs what people are currently doing with Firebase. Source: over 1 year ago

Amazon Redshift mentions (26)

• Choosing Between a Streaming Database and a Stream Processing Framework in Python

  They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / 3 months ago

• Choosing the Right AWS Database: A Guide for Modern Applications

  Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / 7 months ago

• A Comprehensive Guide to AWS DynamoDB vs. Redshift for Databases and Data Warehouses

  The topics of databases and data warehouses are central to the modern data landscape, and Amazon's offeringsDynamoDB and Redshiftare standout products in their respective categories. Here's a detailed comparison:. - Source: dev.to / 8 months ago

• AWS Redshift: Robust and Scalable Data Warehousing

  Amazon Redshift is a powerful, scalable data warehousing service within the AWS ecosystem. It excels in handling large datasets with its columnar storage, parallel query execution, and features like Redshift Spectrum and RA3 instances. Redshift’s clustered architecture, robust security, and integration with AWS services make it a go-to choice for businesses needing efficient and secure data management solutions. - Source: dev.to / 11 months ago

• AWS Beginner's Key Terminologies

  Amazon Redshift (analytics) Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze your data using your existing business intelligence tools. Https://aws.amazon.com/redshift/. - Source: dev.to / over 1 year ago