Ceph
Minio
GlusterFS
StorPool
PetaSAN
TrueNAS Core
BeeGFS
Amahi
Azure Synapse Analytics
Google BigQuery
Databricks Unified Analytics Platform
Apache Zeppelin
Saturn Cloud
Amazon SageMaker
GeoSpock
Palantir Foundry
Based on our record, Ceph should be more popular than Azure Synapse Analytics. It has been mentiond 11 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.
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 / 5 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: 10 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 / 12 months ago
Another option is a distributed Ceph cluster https://ceph.io/en/. Source: over 1 year 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
A data warehouse is a specialized database that's purpose built for gathering and analyzing data. Unlike general-purpose databases like MySQL or PostgreSQL, which are designed to meet the real-time performance and transactional needs of applications, a data warehouse is designed to collect and process the data produced by those applications, collectively and over time, to help you gain insight from it. Examples of... - Source: dev.to / over 1 year ago
You don't run into these kinds of problems with other tools, like the ones I mentioned. I've never tried the Azure ones, but my gut says they may have some scaling issues (synapse analytics looks promising but I have no experience with it). Source: about 2 years ago
Popular managed cloud data warehouse solutions include Azure Synapse Analytics, Azure SQL Database, and Amazon Redshift. - Source: dev.to / about 2 years ago
Minio - Minio is an open-source minimal cloud storage server.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
GlusterFS - GlusterFS is a scale-out network-attached storage file system.
Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics
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.
Apache Zeppelin - A web-based notebook that enables interactive data analytics.