incident.io
FireHydrant.io
Rootly
PagerDuty
ResQ Labs
Actioner
Zapier
Axolo for GitLab
Amazon Redshift
Google BigQuery
Vertica
Snowflake
Microsoft SQL Server
LibreOffice - Base
Microsoft Office Access
IBM Netezza
incident.io is a Slack-native incident response and management tool that scales as your team grows. Hypergrowth companies use incident.io to automate incident processes, focus on fixing the issue, and learn from incident insights to improve site reliability and fix vulnerabilities. Learn more and see how it works on incident.io.
incident.io Amazon Redshiftincident.io might be a bit more popular than Amazon Redshift. We know about 31 links to it since March 2021 and only 26 links to Amazon Redshift. 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.
There are SaaS products out there that can help with data collection like incident.io or firehydrant.io to more quickly construct a timeline. Source: 12 months ago
My new favourite is https://incident.io. Great UI, great product, especially if you also need an incident management tool. Source: 12 months ago
We did a pretty detailed write-up about a significant incident we had a few months back at incident.io: https://incident.io/blog/intermittent-downtime. Source: about 1 year ago
Co-founder of incident.io here, so I'll avoid throwing my thoughts around for obvious reasons. Source: about 1 year ago
I work at a company that offers a platform for this called https://incident.io/. Source: over 1 year 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
FireHydrant.io - FireHydrant helps teams organize and remedy incidents quickly when their system experience disruptions.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Rootly - Rootly helps build a consistent incident response process by automating manual admin work like creating incident channels, Jira tickets, Zoom rooms, and generating postmortem timelines, all from within Slack.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
PagerDuty - Cloud based monitoring service
Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
