Databricks
Google BigQuery
Looker
Jupyter
Presto DB
Informatica
Rakam
Concurrent
Cloudberry Database
Google BigQuery
Teradata Database
SAP BW
Apache Druid
Microsoft Azure Data Lake
MySQL
PostgreSQL
Cloudberry Database is created by a team of original Greenplum Database developers and ASF committers. We aim to bring modern computing capabilities to the traditional distributed MPP database to support Analytics and AI/ML workloads in one platform.
As a derivative of Greenplum Database 7, Cloudberry Database is compatible with Greenplum Database, but it's shipped with a newer PostgreSQL 14.4 kernel (scheduled kernel upgrade yearly) and a bunch of features Greenplum Database lacks or does not support.
Databricks Cloudberry DatabaseNo features have been listed yet.
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Based on our record, Databricks seems to be a lot more popular than Cloudberry Database. While we know about 18 links to Databricks, we've tracked only 1 mention of Cloudberry Database. 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.
Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / about 1 year ago
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: over 2 years 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 / about 3 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 / over 3 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 / over 3 years ago
- Changelog: https://cloudberry.apache.org/releases/2.0.0-incubating. - Source: Hacker News / about 1 month ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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.
Teradata Database - Teradata Database is a high performance analytical database.
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.
SAP BW - SAP BW Tutorial - SAP Business Warehouse (BW) integrates data from different sources, transforms and consolidates the data, does data cleansing, and storing of data as well. It a
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
