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Average Ratings 0 Ratings
Description
Cloudera Data Warehouse is a cloud-native, self-service analytics platform designed to empower IT departments to quickly provide query functionalities to BI analysts, allowing users to transition from no query capabilities to active querying within minutes. It accommodates all forms of data, including structured, semi-structured, unstructured, real-time, and batch data, and it scales efficiently from gigabytes to petabytes based on demand. This solution is seamlessly integrated with various services, including streaming, data engineering, and AI, while maintaining a cohesive framework for security, governance, and metadata across private, public, or hybrid cloud environments. Each virtual warehouse, whether a data warehouse or mart, is autonomously configured and optimized, ensuring that different workloads remain independent and do not disrupt one another. Cloudera utilizes a range of open-source engines, such as Hive, Impala, Kudu, and Druid, along with tools like Hue, to facilitate diverse analytical tasks, which span from creating dashboards and conducting operational analytics to engaging in research and exploration of extensive event or time-series data. This comprehensive approach not only enhances data accessibility but also significantly improves the efficiency of data analysis across various sectors.
Description
DataLakeHouse.io Data Sync allows users to replicate and synchronize data from operational systems (on-premises and cloud-based SaaS), into destinations of their choice, primarily Cloud Data Warehouses. DLH.io is a tool for marketing teams, but also for any data team in any size organization. It enables business cases to build single source of truth data repositories such as dimensional warehouses, data vaults 2.0, and machine learning workloads.
Use cases include technical and functional examples, including: ELT and ETL, Data Warehouses, Pipelines, Analytics, AI & Machine Learning and Data, Marketing and Sales, Retail and FinTech, Restaurants, Manufacturing, Public Sector and more.
DataLakeHouse.io has a mission: to orchestrate the data of every organization, especially those who wish to become data-driven or continue their data-driven strategy journey. DataLakeHouse.io, aka DLH.io, allows hundreds of companies manage their cloud data warehousing solutions.
API Access
Has API
No
API Access
Has API
No
Integrations
Aiven for PostgreSQL
No
Amazon Web Services (AWS)
Yes
Apache Druid
Yes
Apache Impala
Yes
Apache Kudu
Yes
Bullhorn
No
ConnectWise RMM
No
Dropbox
No
Google Ads
No
Hue
Yes
Integrations
Aiven for PostgreSQL
Yes
Amazon Web Services (AWS)
No
Apache Druid
No
Apache Impala
No
Apache Kudu
No
Bullhorn
Yes
ConnectWise RMM
Yes
Dropbox
Yes
Google Ads
Yes
Hue
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$99
Free Trial
Yes
Free Version
Yes
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Cloudera
Founded
2008
Country
United States
Website
www.cloudera.com/products/data-warehouse.html
Vendor Details
Company Name
DataLakeHouse.io
Founded
2019
Country
United States
Website
datalakehouse.io
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Product Features
Data Management
Customer Data
Yes
Data Analysis
Yes
Data Capture
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
No
Data Security
Yes
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Replication
Asynchronous Data Replication
Yes
Automated Data Retention
Yes
Continuous Replication
Yes
Cross-Platform Replication
No
Dashboard
Yes
Instant Failover
No
Orchestration
Yes
Remote Database Replication
No
Reporting / Analytics
Yes
Simulation / Testing
No
Synchronous Data Replication
Yes
Data Warehouse
Ad hoc Query
Yes
Analytics
Yes
Data Integration
No
Data Migration
Yes
Data Quality Control
No
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
No
Match & Merge
No