Based on our record, Databricks should be more popular than Ceph. It has been mentiond 17 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.
Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 1 year ago
Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 2 years ago
Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 2 years ago
Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 2 years ago
I am considering Hex, Deepnote, and possibly Databricks. Does anyone have any experience using the first 2 (i have worked with Databricks in the past) and have thoughts they can share? The company isn't doing any fancy data science so far so I mostly want it for deep product analytics which I can turn into reports that are easily shareable across the org. That being said, I do want to get into statistical... Source: about 2 years ago
Ceph stands out in storage technology, offering a scalable and reliable solution where traditional systems fall short. It supports object, block, and file storage in one system, adaptable for various environments including on-premises, cloud, or container-native setups. Key benefits include scalability, enabled by the CRUSH algorithm, allowing for expansion without typical downtime. This makes Ceph suitable for... - Source: dev.to / 6 months ago
With that being said, you better take a look at something more WAN optimized and more secure, like S3 storage. You can build the S3 storage (and gain immutability) using something like MinIO (https://min.io/) or Ceph (https://ceph.io/en/) or check out Object First Ootbi offerings - https://objectfirst.com/object-storage/ (I work for them). Source: 11 months ago
I believe Ceph [1] could be a good alternative. It can be self hosted and I believe some cloud providers also offer it. Here are some differences between S3 and Ceph [2]. [1] - https://ceph.io/en/ [2] - https://www.lightbitslabs.com/blog/ceph-storage/. - Source: Hacker News / about 1 year ago
Another option is a distributed Ceph cluster https://ceph.io/en/. Source: almost 2 years ago
There's also cool systems like https://ceph.io/en/ that could be efficient if willing to set up and learn. Source: almost 2 years ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Minio - Minio is an open-source minimal cloud storage server.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
GlusterFS - GlusterFS is a scale-out network-attached storage file system.
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
StorPool - StorPool is designed from the ground up to provide cloud builders, shared hosting providers and MSPs with the most resource efficient storage software on the market.