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Cloudberry Database
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Cloudberry Database is created by a team of original Greenplum Database developers and ASF committers. We aim to bring modern computing capabilities to the traditional distributed MPP database to support Analytics and AI/ML workloads in one platform.
As a derivative of Greenplum Database 7, Cloudberry Database is compatible with Greenplum Database, but it's shipped with a newer PostgreSQL 14.4 kernel (scheduled kernel upgrade yearly) and a bunch of features Greenplum Database lacks or does not support.
Medium
Cloudberry DatabaseMedium is recommended for avid readers seeking a variety of topics ranging from personal development to technology. It's also ideal for writers looking to publish their work to a broad audience and potentially earn revenue through the platform's Partner Program.
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Based on our record, Medium seems to be a lot more popular than Cloudberry Database. While we know about 3091 links to Medium, we've tracked only 3 mentions of Cloudberry Database. 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.
It depends on how you define the observable pattern. The fundamental components here are laziness and weak connections between graph nodes. Node values are getting materialized only when you observe them, and the system is flexible for live structural changes. Usually, you don't need to materialize the entire graph when you need to observe just some nodes. Additionally, you can halt computations at any point in... - Source: Hacker News / 3 days ago
Supposedly 70% of software projects failed even before AI. So are AI projects better or worse than that? Also like people have asked about the 70% failure rate, how do you define failure/success. https://medium.com/@trienpont/why-do-over-70-of-software-projects-fail-deb4f48f18e6. - Source: Hacker News / 5 days ago
Hey guys! GPU.ai is hosting a buildathon with free cloud GPUs on August 22nd 2026 -- register at gpu.ai/buildathon -- all projects will be open-sourced. Learn more: https://medium.com/@john_64490/gpu-ai-1-000-grand-prize-buildathon-on-august-22nd-2026-build-ai-apps-on-free-cloud-gpus-fe27ece9783c?sharedUserId=john_64490. - Source: Hacker News / 6 days ago
Back in the day I used the now-defunct site coin.fyi or coinexplorers.com to track my portfolio. When they disappeared, I looked at the alternatives โ and none of them adapted to my necessities. The main one: a private, encrypted portfolio management platform in the style of ProtonMail. One where the service provider itself cannot see what I hold. So I decided to create my own.... - Source: Hacker News / 7 days ago
Insurance companies basically are banks, in that while they make low profit margins they wield such vast amounts of capital, some of which they invest in, they might as well be financial service institutions. There's also other categories of entities (pharmacy benefit managers, wholesalers and distributors) that also get a cut.... - Source: Hacker News / 8 days ago
### cbcopy Parameters Reference (Refer to the cbcopy parameter documentation and examples for complete usage and configuration guidance.) ## Welcome to Apache Cloudberry: - **Visit the website:** https://cloudberry.apache.org - **Follow us on GitHub:** https://github.com/apache/cloudberry - **Join Slack workspace:** https://apache-cloudberry.slack.com - **Dev mailing list:** - To subscribe to dev mailing... - Source: dev.to / 7 months ago
Leaderful means that all writes have to go through the leader. That prevents scaling, but helps consistency - Postgres being a good example. The way you can achieve scaling with leaders, is by sharding - have portions of data controlled by independent processes, and thus have different leaders. But you sacrifice consistency between shards - and you get Cassandra LightWeight Transactions - docs. They only work... - Source: dev.to / 9 months ago
- Changelog: https://cloudberry.apache.org/releases/2.0.0-incubating. - Source: Hacker News / 11 months ago
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