# cloud-data Published articles for cloud-data. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Google Research 2025: Bolder breakthroughs, bigger impact DevFeed: [Google Research 2025: Bolder breakthroughs, bigger impact]() Original publisher: [Read original article]() Published: 2025-12-18T23:29:00Z Content type: article Language: en Sources: [The latest research from Google]() Topics: [Google](), [Artificial Intelligence](), [Large Language Model](), [Quantum Computing](), [Algorithm](), [data centers](), [Cloud](), [Bioinformatics](), [Benchmark](), [Kaggle]() Tags: [2025](), [agentic](), [ai](), [benchmarks](), [cloud-data](), [data-centers](), [efficiency](), [energy](), [generative](), [google](), [health](), [infrastructure](), [kaggle](), [llm](), [quantum](), [quantum-computing](), [research](), [resilience](), [science](), [year-in-review]() ### AI overview Google Research's 2025 review describes accelerated progress across AI, generative UI, algorithmic research, agentic models, quantum computing, Earth sciences, genomics, biology, neuroscience, climate resilience, health, and education. It also highlights work improving efficiency, reliability, factuality, and cost and energy use in Google products and cloud infrastructure. ### Source excerpt Year in Review ## How the 5 major cloud data warehouses compare on cost-performance DevFeed: [How the 5 major cloud data warehouses compare on cost-performance]() Original publisher: [Read original article]() Author: Tom Schreiber; Lionel Palacin Published: 2025-12-02T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [benchmarking](), [Cloud](), [clickhouse](), [Amazon Redshift](), [BigQuery](), [databricks](), [dataset]() Tags: [benchmark](), [benchmarking](), [bigquery](), [clickhouse](), [cloud](), [cloud-data](), [compare](), [comparison](), [cost](), [data](), [databricks](), [dataset](), [performance](), [redshift](), [storage](), [warehouse]() ### AI overview This article compares the cost-performance of Snowflake, Databricks, ClickHouse Cloud, BigQuery, and Redshift across analytical workloads containing 1 billion, 10 billion, and 100 billion rows. Using each system's real compute billing model, the benchmark concludes that ClickHouse Cloud provides substantially better value than the other systems at scale. ### Source excerpt We benchmarked the five major cloud data warehouses at 1B-100B rows using their real billing models to measure performance per dollar. Results show how cost-performance shifts as data grows. ## Why HTAP Databases Are Giving Way to Disaggregated Architectures DevFeed: [Why HTAP Databases Are Giving Way to Disaggregated Architectures]() Original publisher: [Read original article]() Author: Zhou Sun Published: 2025-05-04T10:00:00Z Content type: article Language: en Sources: [Blog -- Neon Docs]() Topics: [Databases](), [olap](), [Cloud](), [Latency](), [consistency](), [NoSQL](), [MongoDB](), [Hadoop](), [hdfs](), [CockroachDB](), [Amazon Redshift](), [vitess]() Tags: [cloud](), [cloud-data](), [cockroachdb](), [consistency](), [data-lake](), [databases](), [engineering](), [hadoop](), [hdfs](), [latency](), [mongodb](), [olap](), [redshift](), [sql](), [vitess]() ### AI overview The article traces the separation of transactional and analytical database workloads, explaining how differing storage and scaling requirements led to specialized OLTP and OLAP systems. It argues that HTAP as a single database architecture is declining while its underlying ideas persist in today's disaggregated data stack. ### Source excerpt This blog is inspired by Jordan Tigani's "Big Data is Dead." Jordan and I actually spent some time building an HTAP database at SingleStore. From the one database that did everything in the '80s, to the great divide, to HTAP, to today's disaggregated stack--here's why HTAP as a database is dead, but its spirit lives on. ## CentOS8 images published in Pouta as a tech preview DevFeed: [CentOS8 images published in Pouta as a tech preview]() Original publisher: [Read original article]() Author: Unknown (noreply@blogger.com) Published: 2020-02-17T05:48:00Z Content type: release Language: en Sources: [CSC - IT Center For Science - Cloud Team]() Topics: [Cloud]() Tags: [centos](), [centos8](), [cloud-data](), [diskimage](), [glance](), [image](), [openstack](), [pouta](), [preview](), [published](), [tech](), [ubuntu]() ### AI overview CentOS 8 images are available in Pouta as a tech preview. The article notes minor upstream issues, including a resolv.conf nameserver issue, and describes temporary image modifications to address one issue. ### Source excerpt There are now CentOS-8 images available in Pouta! There are some minor issues with the upstream CentOS8 images, so, for now, they are considered to be in "tech preview". We have solved the one we have found so far by temporarily modifying the image to use "cloud-user" and remove the resolv.conf leftovers. Basic information about our images can be found on docs.csc.fi One issue is that /etc/resolv.conf sometimes has a nameserver defined from the build of the image. There is an open CentOS bug report about this: https://bugs.centos.org/view.php?id=16948