730+ days of relentless shipping, and Artie has evolved into an enterprise-grade powerhouse at an unprecedented rate. We’ve been shipping killer features and optimizations so quickly that even our most engaged customers have trouble keeping up. And while that’s great news, it’s also a lot to digest for our customers.
So here’s the fix: Launch Week. A single high-impact event where we reveal everything at once! No constant pings, just all the good stuff, all in one go.
Well, without further ado, here we go. For our first launch, we’re announcing “Artie for Enterprise”. This is a theme that hits home for our founders, who started Artie to solve an enterprise data movement problem. So, we’re very excited to announce some key updates that make Artie an enterprise-grade data replication solution.
What to expect
We don’t want to spoil the surprise… but here’s a sneak peek. Follow us on LinkedIn and X for real-time updates. Sign up for our newsletter, and we’ll drop every announcement straight into your inbox.
Day 1: Rebranding
Artie’s got a new look! A refined logo, new brand design philosophy and design systems…underpinned by the same mission that got us started in the first place. At the core, we’re making your experience better by providing clearer messaging, smoother navigation, and a brand where you feel a proud sense of belonging.
Day 2: Terraform support
“Um, we have thousands of tables to configure. Do I really need to click thousands of times on your dashboard to get connectors set up?” Absolutely not—enter our Terraform provider. This one’s for you, brave keyboard warriors. No more endless clicks—just code it, deploy it, and go.
Day 3: Multi-step merge
Who doesn’t love replication on steroids? Better yet, all while keeping the cost low?! Artie’s default settings already ensure high throughput, cost-efficient merge operations and low ingestion lag. But when we encountered very large tables that are frequently updated, we wanted to figure out a way to keep latency low without customers having to increase compute costs (or use a larger virtual data warehouse). If you’re processing billions of changes per month, you’ll enjoy this!
Day 4: Hybrid deployment
Enterprise-grade replication means deployment flexibility is non-negotiable. If your security and compliance rules say “No data leaves our cloud,” we say, “Got it.” Hybrid deployment is here. Don’t ever compromise security for data ingestion. What’s more? Security and ease of use should go hand in hand. That’s why our hybrid deployment requires no agent installation and zero maintenance overhead.
Day 5: MySQL Connector upgrade
Our team has been focused on improving the experience for enterprise customers using our MySQL connector. Full DDL support, gh-ost migration, and GTID support mean zero downtime for schema changes and failovers. Automatic fan-in makes replication for partitioned tables effortless. More details soon, we won’t spoil the fun just yet.
Day 6: PostgreSQL CTID scanning
You may know this already, but at Artie, we don’t charge a single penny for backfills. This includes the initial onboarding of new tables and any ad-hoc backfill requests. Why? Because we understand how disruptive backfills can be and Artie is built to seamlessly recover from errors to avoid backfills unless absolutely necessary. So in the event that we need to run backfills, how can we minimize disruption? Enter PostgreSQL CTID; an alternative backfill method that is 10-20x faster than traditional methods.
10-20x faster backfills mean less waiting, and more doing. Because time is money—and now you’ve got more of both.
Day 7: Datadog integration
At Artie, we’ve always been big on observability. What good are your data pipelines if nobody has visibility into them? We prioritize accurately monitoring your pipeline performance and making sure you know what’s up. We have a ton of metrics we expose to our customers, and now you can see all the same metrics from the convenience of your Datadog dashboard. Proactively monitor pipeline performance—you can also create custom monitors and dashboards using the metrics we expose!
