Artie (YC S23)

We're excited to announce our Select Technology Tier Partner Status with Snowflake! Artie helps customers sync data from databases to Snowflake quickly and reliably, helping joint customers fully leverage their data for analytical and operational use cases like transaction monitoring, marketing analytics, and customer facing dashboards. “Together, Artie and Snowflake help customers unlock the power of their transactional data, and allow organizations to perform real-time analytics and operationalize production data on Snowflake’s Data Cloud. Artie’s streaming ELT solution offers several compelling advantages, including speed, reliability, cost-effectiveness, and better overall data infrastructure performance.” says Jacqueline Cheong, Co-founder and CEO of Artie. #snowflake #datareplication #dataengineering #elt #etl https://lnkd.in/g67tZWZz

Sharing a quote from our recent case study with Keep ❤️ “Artie has been a foundational component of building our data stack. As a data-driven fintech startup, we wanted all the benefits of fast and reliable database replication, without having to invest months of engineering time to build and maintain a robust pipeline. We now can focus on building products that our customers love.” - Helson Taveras, co-founder & CTO Link below ICYMI

Customer facing analytics and data products can be incredibly valuable and can really elevate customer experience. It can be a point of differentiation against competitors and a feature to upsell enterprise customers. A few benefits of offering customer facing analytics as part of your product: 1️⃣ Increased customer engagement. Customers are likely to engage with your platform more frequently if they are able to monitor usage and dig deeper to analyze trends. It keeps them more involved. 2️⃣ Higher transparency and trust. Providing data that affects the customer directly helps build trust. Customers appreciate knowing the details behind the services they use. 3️⃣ Improved awareness leading to lower support burden. A customer might use an analytics dashboard to understand usage patterns, billing cycles, or service limits, reducing the need to reach out for basic inquiries. The issue with customer facing data products is that the requirements on your data stack changes. End users are more demanding – they want low data latency, fast query performance, and high concurrency. There are lots to consider in designing a data stack that can support this use case. If you can’t reliably deliver data in near real-time, you may as well not pursue offering a customer facing data product. The cost of bad customer experience is often worse than not offering the product at all. #dataengineering #datareplication #data

Storage costs on OLAP databases are easily 5-10x cheaper than OLTP databases. This is because OLTP systems require high-speed, high-availability to handle a large number of transactions reliably. Typically they use more expensive SSDs. OLAP systems comparatively emphasize capacity rather than speed, and can use a mix of storage types including cheaper HDDs. If you have massive amounts of data sitting in OLTP systems, you could consider moving data to an OLAP system and deleting it from your source OLTP. For example, imagine your company stores transaction data in Postgres. You might need to keep all historical data for various reasons. Instead of storing 10 years of transactions in Postgres, you could replicate it to Snowflake and make sure your pipeline is set up to skip delete operations (this is SUPER important!). This way you can delete any transaction data that is >1 year old and prune your Postgres tables such that you’re only keeping data from the last 12 months. Everything else is stored in Snowflake. In this example, assuming Snowflake storage is 10x cheaper than Postgres, storage costs go down by 81%! #dataengineering #datareplication #data

Learn how Keep moved operational dashboards to Snowflake and decreased query load on their production databases! Keep, a Canadian credit card and payments company, uses Artie to sync business-critical data from Postgres and MongoDB into Snowflake in real-time. They chose Artie (YC S23) for the ease of use, real-time syncs, and exceptional customer support experience. Thank you Helson Taveras for trusting us with such a critical part of your data stack. Keep also uses history mode (slowly changing dimension tables) to create detailed historical audit logs, which offers a peace of mind with respect to regulatory and compliance requirements. Link to case study in comments. #dataengineering #datareplication #postgres #mongodb

I heard a funny story from one of our customers the other day. We offer a Postgres replication slot monitor as part of our product. They tried to create a monitor with a really low threshold of 1GB so they could test to see what an alert would look like. A couple weeks passed and an alert still had not been triggered. On the one hand they were impressed with the lack of WAL growth, but on the other hand they still really wanted to see what an alert looks like. We are now adding a test alert button 🙂 #postgres #dataengineering #datareplication

We’ve hit an internal revenue milestone and we’re introducing a new employee perk - free lunches! 🥳 ICYMI we’re hiring a founding engineer (apply via link in comments).

It takes ~10 mins to set up a connector with Artie (YC S23). There are just three simple steps. 1️⃣ Set up your database source 2️⃣ Choose tables you want to sync (and/or enable history mode - slowly changing dimension tables) 3️⃣ Set up your destination Then, sit back, let the backfill run, and monitor your deployment via our analytics portal 🤩 #dataengineering #datareplication

We’re hiring a third founding engineer to join our team at Artie (YC S23)! We’re a YC-backed company and based in SF. We work out of our office in SOMA 5x/week. Artie is a real-time database replication solution for databases and data warehouses. To do this, we leverage Kafka and change data capture. We're growing fast and generating significant ARR - we launched our cloud product a year ago and are now processing billions of rows per month. This is a challenging and dynamic role, and you will be working at the forefront of distributed systems, infrastructure and data engineering. What you should expect & examples: -Have an active role in defining the next gen data replication platform -Be a powerhouse engineer that can jump around the tech stack with expertise in scaling distributed systems -Add new functionality to our customer dashboard -Work on infrastructure optimizations for our OSS solution and Artie Cloud (hosted solution) -Spin up a new data plane in a new AWS or GCP region with tools like Terraform and Helm -Implement a database as a source and/or destination Our tech stack: -Frontend: TypeScript (React and Material UI) -Backend: Go, PostgreSQL, Redis and Kafka -Infra: AWS, Terraform, Kubernetes, and Helm Experience is appreciated but not a prerequisite. We value passion, dedication, and willingness to learn above all. If this sounds interesting and you’re ready to propel your career forward, apply (link in comments) or reach out to Robin Tang directly. If you know someone who is perfect for this role, share this opportunity to be a part of something groundbreaking! Note: we are not looking to work with agencies at this time. Please do not reach out.

New look 💥