Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
Fivetran is very expensive, and its database-driven pricing model is outdated.
I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors.
Fivetran is very expensive, and its database-driven pricing model is outdated.
I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors.
IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.
The solution's pricing model is very flexible.
It is an expensive solution.
The solution's pricing model is very flexible.
It is an expensive solution.
Stitch is a cloud ETL service that replicates data from more than 90 applications and databases and Looker is a powerful business intelligence and data analytics platform. To get the most out of Looker, data needs to be consolidated into a data warehouse that Looker can easily access.
Perspectium DataSync is delivered as a comprehensive application in ServiceNow that allows sophisticated data synchronization scenarios to be created without coding. Your data is secure and private due to end-to-end and at-rest encryption, and the performance of your application instances are minimally impacted due to “push” data streaming. By utilizing a message queue, DataSync removes the need for data endpoints to be up and functional all the time, eliminating risk of data loss during intermittent outages at the endpoints. Additionally, due to our use of message brokering, your data stream can be flexibly re-configured without any change to the source - allowing you to flow your data to different targets with minimal impact, and automatic schema creation and maintenance of your data lake means data appears as soon as the schema changes.