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Description

The Databricks Data Intelligence Platform empowers every member of your organization to leverage data and artificial intelligence effectively. Constructed on a lakehouse architecture, it establishes a cohesive and transparent foundation for all aspects of data management and governance, enhanced by a Data Intelligence Engine that recognizes the distinct characteristics of your data. Companies that excel across various sectors will be those that harness the power of data and AI. Covering everything from ETL processes to data warehousing and generative AI, Databricks facilitates the streamlining and acceleration of your data and AI objectives. By merging generative AI with the integrative advantages of a lakehouse, Databricks fuels a Data Intelligence Engine that comprehends the specific semantics of your data. This functionality enables the platform to optimize performance automatically and manage infrastructure in a manner tailored to your organization's needs. Additionally, the Data Intelligence Engine is designed to grasp the unique language of your enterprise, making the search and exploration of new data as straightforward as posing a question to a colleague, thus fostering collaboration and efficiency. Ultimately, this innovative approach transforms the way organizations interact with their data, driving better decision-making and insights.

Description

Manage, oversee, control, and safeguard the applications, data, and IT resources essential for your business, spanning from edge to cloud. HPE Ezmeral propels digital transformation efforts by reallocating time and resources away from IT maintenance towards innovation. Update your applications, streamline your operations, and leverage data to transition from insights to impactful actions. Accelerate your time-to-value by implementing Kubernetes at scale, complete with integrated persistent data storage for modernizing applications, whether on bare metal, virtual machines, within your data center, on any cloud, or at the edge. By operationalizing the comprehensive process of constructing data pipelines, you can extract insights more rapidly. Introduce DevOps agility into the machine learning lifecycle while delivering a cohesive data fabric. Enhance efficiency and agility in IT operations through automation and cutting-edge artificial intelligence, all while ensuring robust security and control that mitigate risks and lower expenses. The HPE Ezmeral Container Platform offers a robust, enterprise-grade solution for deploying Kubernetes at scale, accommodating a diverse array of use cases and business needs. This comprehensive approach not only maximizes operational efficiency but also positions your organization for future growth and innovation.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
Starburst Enterprise Yes 
TensorFlow Yes 
Unravel Yes 
ActionIQ Yes 
BREVIAN Yes 
DataBahn Yes 
Dell AI-Ready Data Platform Yes 
GPT-5.6 Sol Ultrafast Yes 
Luca Yes 
Lumi AI Yes 
Notenic Yes 
Observable Yes 
Pinecone Rerank v0 Yes 
PopSQL Yes 
RunMyJobs by Redwood Yes 
SAS Studio Yes 
TIMi Yes 
Unity AI Gateway Yes 
VEDA Yes 

Integrations

Apache Spark Yes 
Starburst Enterprise Yes 
TensorFlow Yes 
Unravel Yes 
ActionIQ No 
BREVIAN No 
DataBahn No 
Dell AI-Ready Data Platform No 
GPT-5.6 Sol Ultrafast No 
Luca No 
Lumi AI No 
Notenic No 
Observable No 
Pinecone Rerank v0 No 
PopSQL No 
RunMyJobs by Redwood No 
SAS Studio No 
TIMi No 
Unity AI Gateway No 
VEDA No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

databricks.com

Vendor Details

Company Name

Hewlett Packard Enterprise

Founded

2015

Country

United States

Website

www.hpe.com/us/en/ezmeral.html

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare Yes 
For Sales Yes 
For eCommerce Yes 
Image Recognition No 
Machine Learning Yes 
Multi-Language Yes 
Natural Language Processing Yes 
Predictive Analytics Yes 
Process/Workflow Automation Yes 
Rules-Based Automation Yes 
Virtual Personal Assistant (VPA) No 

Big Data

Collaboration Yes 
Data Blends Yes 
Data Cleansing Yes 
Data Mining Yes 
Data Visualization Yes 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox Yes 
Predictive Analytics Yes 
Templates Yes 

Business Intelligence

Ad Hoc Reports Yes 
Benchmarking Yes 
Budgeting & Forecasting Yes 
Dashboard Yes 
Data Analysis Yes 
Key Performance Indicators Yes 
Natural Language Generation (NLG) Yes 
Performance Metrics Yes 
Predictive Analytics Yes 
Profitability Analysis Yes 
Strategic Planning Yes 
Trend / Problem Indicators Yes 
Visual Analytics Yes 

Dashboard

Annotations Yes 
Data Source Integrations Yes 
Functions / Calculations Yes 
Interactive Yes 
KPIs Yes 
OLAP Yes 
Private Dashboards Yes 
Public Dashboards Yes 
Scorecards Yes 
Themes Yes 
Visual Analytics Yes 
Widgets Yes 

Data Analysis

Data Discovery Yes 
Data Visualization Yes 
High Volume Processing Yes 
Predictive Analytics Yes 
Regression Analysis Yes 
Sentiment Analysis Yes 
Statistical Modeling Yes 
Text Analytics Yes 

Data Fabric

Data Access Management Yes 
Data Analytics Yes 
Data Collaboration Yes 
Data Lineage Tools Yes 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management Yes 

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management Yes 
Email Management No 
Policy Management No 
Process Management No 
Roles Management Yes 
Storage Management Yes 

Data Lineage

Database Change Impact Analysis Yes 
Filter Lineage Links Yes 
Implicit Connection Discovery Yes 
Lineage Object Filtering Yes 
Object Lineage Tracing Yes 
Point-in-Time Visibility Yes 
User/Client/Target Connection Visibility Yes 
Visual & Text Lineage View Yes 

Data Management

Customer Data Yes 
Data Analysis Yes 
Data Capture Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security Yes 
Information Governance Yes 
Master Data Management Yes 
Match & Merge Yes 

Data Science

Access Control Yes 
Advanced Modeling Yes 
Audit Logs Yes 
Data Discovery Yes 
Data Ingestion Yes 
Data Preparation Yes 
Data Visualization Yes 
Model Deployment Yes 
Reports Yes 

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation Yes 
Filtered Views Yes 
OLAP Yes 
Relational Display Yes 
Simulation Models Yes 
Visual Discovery Yes 

Data Warehouse

Ad hoc Query Yes 
Analytics Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing Yes 
Match & Merge Yes 

ETL

Data Analysis Yes 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management Yes 
Non-Relational Transformations Yes 
Version Control Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library Yes 
Model Training Yes 
Natural Language Processing (NLP) Yes 
Predictive Modeling Yes 
Statistical / Mathematical Tools Yes 
Templates Yes 
Visualization Yes 

Product Features

Container Management

Access Control No 
Application Development No 
Automatic Scaling No 
Build Automation No 
Container Health Management No 
Container Storage No 
Deployment Automation No 
File Isolation No 
Hybrid Deployments No 
Network Isolation No 
Orchestration No 
Shared File Systems No 
Version Control No 
Virtualization No 

Data Fabric

Data Access Management No 
Data Analytics No 
Data Collaboration No 
Data Lineage Tools No 
Data Networking / Connecting No 
Metadata Functionality No 
No Data Redundancy No 
Persistent Data Management No 

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

IT Management

Capacity Monitoring No 
Compliance Management No 
Event Logs No 
Hardware Inventory No 
IT Budgeting No 
License Management No 
Patch Management No 
Remote Access No 
Scheduling No 
Software Inventory No 
User Activity Monitoring No 

Alternatives

Alternatives