tray.io Reviews

Amazon Redshift Reviews

tray.io mentions (15)

• How do you integrate your Shopify store with third-party tools and services?

  Use Integration Platforms: Tools like Zapier, Integromat, and Unified, AI-powered iPaaS for every team to automate at scale | Tray.io let you connect Shopify with other apps without coding. Source: 9 months ago

• Reverse ETL recommendations?

  Check out tray.io - it's basically "more technical Zapier". Source: about 1 year ago

• Cashflow forecast based on client average days to pay

  Anaplan (anaplan.com) is an option as you'll need to setup an integration via tray.io. They are not add-ons but separate applications that will take your Xero data and replicate a copy of the data into Anaplan. Once the Xero data is in Anaplan you'll be able to do the detailed Cash Flow. I don't work for any of the companies discussed here. Source: over 1 year ago

• Project management

  Check out tray.io they have connectors with Monday.com and Atera which can do alot of the heavy lifting. All you would need to do is create rules. Use Monday.com to house the information tied to the Atera Customer or Device. Source: over 1 year ago

• Airtable Extension for Web Scraping

  The best way to do something like this would be to implement a tray.io, but I'd like to know if there's an extension or addon that can also tackle this workflow. 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 / 5 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 / 9 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 / 10 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 / about 1 year 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