Amazon Redshift vs Postico: What are the differences?
What is Amazon Redshift? Fast, fully managed, petabyte-scale data warehouse service. Redshift makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
What is Postico? A modern PostgreSQL client for OS X. Postico provides an easy to use interface, making Postgres more accessible for newcomers and specialists alike. Postico will look familiar to anyone who has used a Mac before. Just connect to a database and begin working with tables and views. Start with the basics and learn about advanced features of PostgreSQL as you go along.
Amazon Redshift can be classified as a tool in the "Big Data as a Service" category, while Postico is grouped under "Database Tools".
Some of the features offered by Amazon Redshift are:
- Optimized for Data Warehousing- It uses columnar storage, data compression, and zone maps to reduce the amount of IO needed to perform queries. Redshift has a massively parallel processing (MPP) architecture, parallelizing and distributing SQL operations to take advantage of all available resources.
- Scalable- With a few clicks of the AWS Management Console or a simple API call, you can easily scale the number of nodes in your data warehouse up or down as your performance or capacity needs change.
- No Up-Front Costs- You pay only for the resources you provision. You can choose On-Demand pricing with no up-front costs or long-term commitments, or obtain significantly discounted rates with Reserved Instance pricing.
On the other hand, Postico provides the following key features:
- Peek inside your database. Then edit as needed.
- Design a database with a sound structure.
- Query, Enquire, Investigate.
"Data Warehousing" is the top reason why over 27 developers like Amazon Redshift, while over 3 developers mention "Very clean, respectable interface" as the leading cause for choosing Postico.
Lyft, Coursera, and 9GAG are some of the popular companies that use Amazon Redshift, whereas Postico is used by JustWatch, Montemedia, and Livestorm. Amazon Redshift has a broader approval, being mentioned in 269 company stacks & 67 developers stacks; compared to Postico, which is listed in 8 company stacks and 8 developer stacks.
What is Amazon Redshift?
What is Postico?
Need advice about which tool to choose?Ask the StackShare community!
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Amazon Redshift?
What are the cons of using Postico?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
Looker , Stitch , Amazon Redshift , dbt
We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.
For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.
Aggressive archiving of historical data to keep the production database as small as possible. Using our in-house soon-to-be-open-sourced ETL library, SharpShifter.