Software Alternatives & Reviews

DigitalOcean Spaces VS Amazon Redshift

Compare DigitalOcean Spaces VS Amazon Redshift and see what are their differences


The simplest way to cost effectively store, serve, backup, and archive a virtually infinite amount of media, content, images, and static files for your apps.

Learn about Amazon Redshift cloud data warehouse.
DigitalOcean Spaces Landing Page
DigitalOcean Spaces Landing Page
Amazon Redshift Landing Page
Amazon Redshift Landing Page

DigitalOcean Spaces details

Categories
Cloud Storage File Sharing Cloud Computing
Website digitalocean.com  

Amazon Redshift details

Categories
Big Data Databases Relational Databases Data Management Data Lake Data Warehousing
Website aws.amazon.com  

DigitalOcean Spaces videos

Quick Look at DigitalOcean Spaces

More videos:

  • - Scalable Cloud Object Storage: DigitalOcean Spaces

Amazon Redshift videos

Getting Started with Amazon Redshift - AWS Online Tech Talks

More videos:

  • - Amazon Redshift Materialized Views
  • - Amazon Redshift Tutorial | Amazon Redshift Architecture | AWS Tutorial For Beginners | Simplilearn

Category Popularity

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Social recommendations and mentions

Based on our record, Amazon Redshift seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on Reddit, HackerNews and some other platforms. They can help you identify which product is more popular and what people think of it.

DigitalOcean Spaces mentions (0)

We have not tracked any mentions of DigitalOcean Spaces yet. Tracking of DigitalOcean Spaces recommendations started around Mar 2021.

Amazon Redshift mentions (3)

  • The Data Trinity
    The storage component is simply where the data lives after extraction and loading. The most common artifact is a data warehouse or data lake depending on conceptual design. The most common services in this category are AWS Redshift, Google cloud Big query and Snowflake. - Source: dev.to / about 2 months ago
  • Migrating to AWS
    Over time, we should have only dockers and lambda functions in our compute. While doing this, we should also discard the EC2 instances one by one and move onto Fargate. Drop the Kafka or other messaging services and move to Kinesis, EventBridge, SNS or SQS, as per the requirement. Migrate to cloud native databases like Aurora, DocumentDB, DynamoDB, and other purpose built databases like TimeStream, Keyspace,... - Source: dev.to / about 2 months ago
  • Amazon Redshift ML - Machine Learning in SQL Style (Part-1)
    During re:Invent 2020 we announced Amazon Redshift ML(Preview) which makes it easy for SQL users to create, train, and deploy ML models using familiar SQL commands. Amazon Redshift ML allows you to use your data in Amazon Redshift with Amazon SageMaker(a fully managed ML service), without requiring you to become experts in ML. - Source: dev.to / 7 months ago

What are some alternatives?

When comparing DigitalOcean Spaces and Amazon Redshift, you can also consider the following products

Minio - Minio is an open-source minimal cloud storage server.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

Snowflakepowe.red - Snowflake Computing is delivering a data warehouse for the cloud.

Azure Blob Storage - Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data

Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...

User reviews

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