// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Databricks
A data and AI company that provides a unified platform for data engineering, machine learning, and data warehousing.
TECHNICAL DEFINITION
Databricks is a data and AI company offering a Lakehouse Platform built on Apache Spark, combining data warehousing and data lake capabilities, with integrated tools for data engineering, machine learning (MLflow integration), and data science, facilitating collaborative data and AI workflows.
BACKGROUND
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. LLMs are language models with many parameters, and are trained with self-supervised learning on a vast amount of text.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Databricks Lakehouse
- Spark Platform
- MLflow Databricks
- Data Platform
USAGE NOTE
Widely used for large-scale data processing and collaborative ML development, especially with Spark.
DEVELOPERS
Organizations developing technology related to Databricks.
The original creators of Apache Spark, Delta Lake, and MLflow, Databricks provides a unified data and AI platform that combines data engineering, data science, machine learning, and analytics.
Through its Azure cloud platform, Microsoft co-develops and offers Azure Databricks, an optimized first-party service that is deeply integrated with other Azure services for data, analytics, and AI.
AWS partners with Databricks to offer a fully managed service on its cloud. They work on deep integrations between Databricks and AWS services like S3, Redshift, and SageMaker to streamline data and AI workflows.
Google Cloud provides Databricks as a service on its platform, enabling customers to run data and AI workloads. They collaborate on integrating Databricks with Google's ecosystem, including BigQuery, Google Cloud Storage, and Vertex AI.
Fivetran is an automated data movement platform that develops and maintains a large number of connectors to ingest data from various sources directly into Databricks Delta Lake, simplifying data engineering pipelines.
The company behind the popular data transformation tool dbt. They develop and maintain the dbt-databricks adapter, which allows data teams to build, test, and deploy SQL and Python transformation workflows on the Databricks platform.
Immuta provides an automated data governance platform that integrates directly with Databricks. Their technology enforces fine-grained access control, privacy, and security policies on data within the Databricks environment.
A leading data visualization and business intelligence company, now part of Salesforce. Tableau develops and enhances its Databricks connector, enabling users to directly query, analyze, and visualize large datasets managed by Databricks.
Prophecy develops a low-code data engineering platform specifically for Databricks. Their technology translates visual workflows into high-quality Spark code that runs natively on Databricks, aiming to democratize data pipeline development.