Bring data from Zendesk to Redshift with just a few clicks without writing code. Get analysis-ready data in your warehouse in real-time.
With just a few clicks, connect your Zendesk account to Redshift and watch your data load in real-time. Experience a hassle-free, zero-maintenance data load.
Start 14-Day Free TrialOptimize your customer support efforts by combining and analyzing customer data from all your applications in real-time. With over 100+ ready-to-use integrations, Hevo can easily bring data from your Sales and Marketing Apps, Analytics Tools, Databases, and more.
Optimize your customer support efforts by combining and analyzing user data from all your applications in real-time. With over 100+ ready-to-use integrations, Hevo can easily bring data from your Sales and Marketing Apps, Analytics Tools, Databases, and more.
Leave behind data replication code and script maintenance. Setup once and let Hevo manage all your future changes automatically.
Automate your Zendesk data flow without writing any custom configurations. Further, Hevo flags and resolves any errors detected.
Automate your Zendesk data flow without writing any custom configurations. Further, Hevo flags and resolves any errors detected.
Zendesk is a cloud-based helpdesk solution. It comes with wide feature set - a chat tool and ticketing system that allows you to track and resolve customer service requests, a knowledgebase module and a call center solution - all aimed at helping companies run thier support functions smoothly.
Zendesk is a cloud-based helpdesk solution. It comes with wide feature set - a chat tool and ticketing system that allows you to track and resolve customer service requests, a knowledgebase module and a call center solution - all aimed at helping companies run thier support functions smoothly.
Amazon Redshift is a fully managed, petabyte-scale cloud data warehouse solution. Its ability to handle analytical workloads combined with its simplicity and cost-effectiveness has made it one of the favorite warehousing solutions among modern data teams.
