HPE Ezmeral Data Fabric

HPE Ezmeral Data Fabric

Hewlett Packard Enterprise
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About

Access HPE Ezmeral Data Fabric Software as a fully managed service. Register now for a 300GB instance to try out the latest features and capabilities. Increasingly enterprise data is being distributed across a growing number of locations while at the same time, the demand for insights continues to grow as users expect richer, high-quality data insights. Hybrid cloud solutions offer the best outcomes in terms of cost, data placement, workload control, and user experience. The upside of hybrid is the ability to better match applications with the appropriate services across the application lifecycle. The downside of hybrid is that it adds a new dimension of complexity such as limited data visibility, the need to use multiple analytic formats, and the potential for organizational risk and increased costs.

About

SCIKIQ Data Fabric makes enterprise data AI-ready, without rebuilding the data stack, In weeks and months or years SCIKIQ is an AI-native Data & Intelligence Platform that helps enterprises connect, contextualize, govern and activate their data for analytics, Generative AI and intelligent agents. Instead of adding another disconnected tool, SCIKIQ creates a unified intelligence layer across the technology you already use from SAP, Oracle and Salesforce to Snowflake, Databricks, cloud platforms, data lakes and enterprise applications. The result is trusted, contextualized and AI-ready enterprise data — in weeks, not years. What makes SCIKIQ Data Fbric different is its ability to bring the entire data-to-AI journey into one platform. Data integration, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, conversational analytics, AI/ML, data products and AI agents work together rather than as separate tools. At the heart of SCIKIQ is Contextual Intelligence. SCIKIQ connects technical metadata with business definitions, KPIs, ownership, relationships and rules so that people and AI understand what enterprise data actually means. This semantic foundation helps create more trusted analytics and better-grounded AI responses. Business users can simply ask questions of their enterprise data in natural language, explore KPIs and root causes, and receive contextual answers without depending on SQL or waiting for another report. For data and technology teams, SCIKIQ provides a governed foundation with 200+ connectors, active metadata, multi-hop lineage, data quality, role-based governance and multi-cloud support across AWS, Azure, GCP, hybrid and on-prem environments, and you don't have to rip and replace your existing investments. SCIKIQ works with your stack, not against it. SCIKIQ is already trusted in production by leading enterprises across the USA, India and UAE, including organizations such as American Express, London Stock Exchange Group, Landmark Group and EFS. Its solutions have also been delivered alongside global technology and consulting ecosystems including AWS, Microsoft Azure, Deloitte, EY, Infosys and Tech Mahindra. SCIKIQ has been recognized by Forrester, NASSCOM, YourStory, Inc42 and DataIQ, providing independent validation of its innovation in enterprise data and AI. If your enterprise already has data but is struggling to turn it into trusted AI, SCIKIQ is where that journey begins

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies in need of a fully managed service to achieve data visibility, availability, and federation in a hybrid, multi-cloud world

Audience

BFSI, Manufacturing, Logistics, Retail, Healthcare and others

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Yearly License
Contract Pricing
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Hewlett Packard Enterprise
Founded: 2009
United States
www.mapr.com

Company Information

SCIKIQ
Founded: 2023
India
scikiq.com

Alternatives

Alternatives

CLAIRE

CLAIRE

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Ataccama ONE

Ataccama ONE

Ataccama
EC2 Spot

EC2 Spot

Amazon
Vertica

Vertica

Rocket Software

Categories

Categories

Big Data Features

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

Business Intelligence Features

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

Catalog Management Features

Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search

Data Discovery Features

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric Features

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

Data Governance Features

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Management Features

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

Data Mining Features

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Quality Features

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL Features

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

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Master Data Management Features

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM Features

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Integrations

Amazon S3
Ataccama ONE
Cognixia
Dropbox
Hadoop
IRI CellShield
IRI DarkShield
IRI FieldShield
MySQL
NVIDIA RAPIDS
Netvisor ONE
Oracle Cloud Infrastructure
PostgreSQL
Progress DataDirect
SAP Cloud Platform
Salesforce
Shapelets
Snowflake
Style Intelligence
Teradata VantageCloud

Integrations

Amazon S3
Ataccama ONE
Cognixia
Dropbox
Hadoop
IRI CellShield
IRI DarkShield
IRI FieldShield
MySQL
NVIDIA RAPIDS
Netvisor ONE
Oracle Cloud Infrastructure
PostgreSQL
Progress DataDirect
SAP Cloud Platform
Salesforce
Shapelets
Snowflake
Style Intelligence
Teradata VantageCloud
Claim HPE Ezmeral Data Fabric and update features and information
Claim HPE Ezmeral Data Fabric and update features and information