Databricks VS Presto DB

Databricks Reviews

Presto DB Reviews

Databricks mentions (17)

• dolly-v2-12b

  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

• Clickstream data analysis with Databricks and Redpanda

  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 / over 1 year ago

• DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It

  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 / almost 2 years ago

• A Quick Start to Databricks on AWS

  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

• data science workspace/notebook solution thoughts?

  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

Presto DB mentions (6)

• Parsing logs from multiple data sources with Ahana and Cube

  Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago

• Can a data warehouse be skipped?

  Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago

• why use Redshift if we can use S3 to store data and can connect with Quicksight for dashboarding?

  So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago

• Understanding AWS Athena 101

  You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago

• ETL tool for query building across multiple databases in Mongo DB

  Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago