Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
DuckDB
ClickHouse
Apache Druid
OctoSQL
MonetDB
Redis
DataGrip
Apache Cassandra
Databricks DuckDBDatabricks might be a bit more popular than DuckDB. We know about 17 links to it since March 2021 and only 13 links to DuckDB. 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 / over 1 year 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 / almost 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
DuckDB: An in-process SQL OLAP database management system. While not a traditional OLAP database, DuckDB is designed to execute analytical queries efficiently, making it suitable for analytical workloads within data-intensive applications. - Source: dev.to / 2 months ago
Easiest way to practically use SIMD table scan database is try out DuckDB: https://duckdb.org/. - Source: Hacker News / 3 months ago
Duckdb so we can make OLAP like queries on the data. - Source: dev.to / 5 months ago
DuckDB is an open source (MIT) high-performance, in-process SQL database for analytics. It is a relatively new project (the first public release was in June 2019), but got tremendously popular in a short period of time. - Source: dev.to / 6 months ago
🔗 Organize and link heterogeneous data together (Kaggle, DuckDb). - Source: dev.to / 6 months ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.
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.
Apache Druid - Fast column-oriented distributed data store
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.
OctoSQL - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
