DataLakeHouse.io 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.

Pricing

Pricing Starts At:
$99
Free Version:
Yes
Free Trial:
Yes

Integrations

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Company Details

Company:
DataLakeHouse.io
Year Founded:
2019
Headquarters:
United States
Website:
datalakehouse.io
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DataLakeHouse.io Synchronize to Snowflake

DataLakeHouse.io Synchronize to Snowflake

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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Webinars
In Person
Customer Support
Business Hours
Online Support

DataLakeHouse.io Features and Options

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
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Data Replication Software

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Data Warehouse Software

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