Build real-time ETL/ELT and CDC data pipelines from SaaS API, RDBMS, HTTP, and webhook to the cloud data warehouse within a no-code UI.
Based on our record, Meltano should be more popular than Estuary Flow. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
SEEKING FREELANCER | Python Developer | Remote (Within 3 hours of EST) Estuary is a dynamic company focused on developing cutting-edge real-time data integration solutions. Our platform is powered by an open-source repository of pre-built data connectors, making data exchange between systems seamless. https://estuary.dev/ We are seeking a passionate and talented Software Engineer to help expand our catalog of data... - Source: Hacker News / about 2 months ago
I work at Estuary, which is itself a streaming data pipeline. We actually use that approach to power all of the data processing statistics we show in our UI. Lately we've been processing ~200-300 transactions per second (each transaction produces a stats event), and the stats queries in the dashboard are quite snappy. We actually pre-aggregate by minute, hour, and day in order to serve queries of larger time... Source: 6 months ago
Estuary (https://estuary.dev ; I'm CTO) gives you a real time data lake'd change log of all the changes happening in your database in your cloud storage -- complete with log sequence number, database time, and even before/after states if you use REPLICA IDENTITY FULL -- with no extra setup in your production DB. By default, if you then go on to materialize your collections somewhere else (like Snowflake), you get... - Source: Hacker News / 8 months ago
Disclaimer: I work for a streaming ETL startup (estuary.dev) with a connector for Kafka and ability to share data. I'm wondering if Confluent's currently functionality is missing features by not more easily enabling to push shared streams into the consumer.... Or just generally other things that are on the 'wish list' of those sharing / receiving topics. Source: 9 months ago
Hi, I'm Estuary's CTO (https://estuary.dev). Mind speaking a bit more about what didn't work? We put quite a bit of effort into our CDC connectors, as it's a core competency. We have numerous customers using them at scale successfully, but they can be a bit nuanced to get configured. We're constantly trying to make our onboarding experience more intuitive and seamless... it's a hard problem. - Source: Hacker News / 10 months ago
Hey HN, Arch CEO here! Our team has been working at the intersection of data engineering and software engineering for a few years now with Meltano (https://meltano.com), and this year, the rise in Generative AI has made it clear that the bottleneck in unlocking the potential value of data has shifted from data integration on data teams to data engineering on software teams, so we’ve decided to do something about... - Source: Hacker News / 7 months ago
We use Meltano for (EL) and Prefect for scheduling. Is not click-ops, but works very well for us! Behind the scenes Meltano wraps up Singer spec similarly like Airbyte does with its connectors. Before that we tried Airbyte (~5 months ago?) and it was so bad.. We could not choose the columns to replicate and the connectors were unstable i.e. Skipping data, all sort of odd errors and so on.. Source: about 1 year ago
Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook (https://handbook.meltano.com/) has all the details on... - Source: Hacker News / about 1 year ago
Meltano | Full-Time | Remote | https://meltano.com Meltano's all-remote team and community of thousands are on a mission to enable everyone to realize the full potential of their data. To this end, we are bringing software engineering best practices to data teams in the form of an open-source DataOps platform that we envision becoming the foundation of every team's ideal data stack. Our public company handbook... - Source: Hacker News / about 1 year ago
We switched from AWS Glue to Meltano for the EL part of ELT and it's been a joy to use. We're moving so much faster now. Source: about 1 year ago
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