Databricks

Databricks

Verified

Unify analytics and AI on one platform

American enterprise software company providing unified analytics platform for working with data analytics and machine learning

Data Analytics
6,000+ employees
San Francisco, California, United States
Founded 2013
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Product Overview

Databricks Data Intelligence Platform

Databricks is a unified data analytics platform that combines data engineering, collaborative data science, and business analytics. Built on Apache Spark, it provides a lakehouse architecture that unifies data warehousing and AI use cases on a single platform, enabling organizations to process and analyze massive amounts of data efficiently.

Unique Value Proposition

Databricks pioneered the lakehouse architecture, combining the best of data lakes and data warehouses in a single platform. Its unified approach to data engineering, SQL analytics, and machine learning, coupled with Delta Lake for reliable data management and photon engine for lightning-fast queries, makes it the platform of choice for data-driven organizations.

Categories

Data Platform
Analytics
Data Engineering
Machine Learning
Business Intelligence

Target Market

Industries

Financial Services
Healthcare
Retail
Media & Entertainment
Technology
Manufacturing
Government

Company Size

100 - 50000 employees

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Pricing Information

Pricing Model

usage_based

Free Trial Available

14-day trial period

Typical Contract Length

12 months

Key Features

Delta Lake for ACID transactions
Photon acceleration engine
Collaborative notebooks
AutoML capabilities
Unity Catalog for governance
SQL Analytics workspace
Real-time streaming analytics
MLflow for ML lifecycle
Databricks SQL
Delta Live Tables
Workflows orchestration
Git integration
Cluster management
Job scheduling
Data lineage tracking
Feature store
Model serving
Dashboards and visualizations
Partner Connect ecosystem
Delta Sharing

Integrations

AWS S3
Azure Data Lake
Google Cloud Storage
Snowflake
Tableau
Power BI
Looker
Fivetran
dbt
Informatica
Talend
Apache Kafka
Amazon Kinesis
Azure Event Hubs
MongoDB
Cassandra
Redis
Elasticsearch
Salesforce
SAP
Oracle
PostgreSQL
MySQL
TensorFlow
API Available
View Docs

Security Features

Unity Catalog governance
Fine-grained access controls
Data masking and redaction
Encryption at rest and in transit
Single Sign-On (SSO)
Multi-factor authentication
Private endpoints
VPC/VNet isolation
Audit logging
Compliance security profile
Customer-managed keys
IP access lists
Secrets management
Token management

Security & Compliance

SOC 2 Type II
ISO 27001
ISO 27017
ISO 27018
HIPAA
PCI DSS
FedRAMP Moderate
IRAP
GDPR

Implementation & Support

Implementation Time

9 weeks (60 days)

Deployment Options

Cloud

Support Hours

24/7

Training Resources Available