The key standout feature about Artie is its simplicity, allowing us to easily replicate data between Postgres (RDS) and Snowflake. It comes with various features that put user experiences first and is supported by a team that genuinely responds to our feedback. What we love about Artie: - Data replication setup is easy and hassle-free - Eco-mode: This allows us to optimize our sync period. maximizing data freshness while keeping costs low. - The newly added data history mode keeps account of all historical changes in the data, allowing us to time travel the data to any point in time. - Simple / Minimalistic analytics dashboard that summarises key metrics, allowing us to keep track of our usage. What we love about the team at Artie: - They listen to and act on our feedback, giving us a tailored experience. - Very fast response time to our support requests. - New features are frequently added and communicated to us.

The ease with which you can chat to members of their team, suggest and discuss new ideas which gain traction, agility of responses - there have been specific use cases which the Artie team took upon themselves to test out for us as performing the same on our side would have been a large undertaking. Clients using snowflake as a destination get additional benefits that Artie has implemented specific to this platform (performance metrics, and best of all the ability to slow down the sync overnight to reduce on compute costs). Once you have performed the initial integration, its really simple to take on new sources and update existing ones. New features are being released at a good cadence, most recently the ability to monitor replication slot sizes across your deployments and be notified of any breaches, which we have used to feed into a support process around this.

The team at Artie has been extremely responsive to our needs with the tools, and even fast-tracked a major feature on their roadmap that was necessary for us to use the tool. The tools themselves are easy to use and siplify the process of creating near-real-time replication of data from our application databases to our data warehouse servers for further transformation.