Capistrano
Ansible
Deployer
Azure Cloud Shell
Driver Talent
Hubot
CloudShell
Ansistrano
Amazon Redshift
Google BigQuery
Vertica
LibreOffice - Base
Snowflake
Microsoft SQL Server
Microsoft Office Access
IBM Netezza
Capistrano Amazon RedshiftBased on our record, Amazon Redshift should be more popular than Capistrano. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I think Capistrano is a good example. Their homepage snippet shows you what a DSL is. Source: about 1 year ago
I think it's something like https://capistranorb.com/. Source: about 1 year ago
That should give you lots of stuff to research but I'll leave you with a final point: Every project is going to be different. Use the right tool for the right job; for a small application you definitely don't need Kubernetes, you might be fine without any pipeline at all. For example, Ruby on Rails projects can use a tool called capistrano to script deploys and you can run that from your local machine any time you... Source: over 1 year ago
I personally consider Jenkins a Task Runner that has a massive collection of CI plugins. Anyone can do deployments/delivery from a task runner, but any deployments I had to do in Jenkins ended up needing custom code written to do the actual work. This isn't unique to Jenkins; before the days of kubernetes, we had tools like capistrano or Config Management tools like Chef and Puppet that were capable of doing... Source: over 1 year ago
Two deployment techs I use for non-containerized apps work in roughly the same way. Capistrano And Deployer. Source: almost 2 years ago
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
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 / 6 months ago
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
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
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
Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Deployer - Deployment Tool for PHP
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
Azure Cloud Shell - A few months ago, we started the journey to bring the PowerShell experience to Azure Cloud Shell.
LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC
