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What is Qlik Data Integration?

The Qlik Data Integration platform, tailored for managed data lakes, simplifies the provision of consistently updated, reliable, and trustworthy data sets essential for business analytics. Data engineers benefit from the adaptability to quickly integrate new data sources, ensuring effective oversight throughout each phase of the data lake pipeline, which encompasses real-time data ingestion, refinement, provisioning, and governance. This platform serves as a user-friendly and all-encompassing solution for the continuous ingestion of enterprise data into popular data lakes in real-time. By utilizing a model-driven approach, it supports the swift design, construction, and administration of data lakes, whether they are hosted on-premises or in the cloud. Additionally, it features an advanced enterprise-scale data catalog that allows for secure sharing of all derived data sets with business users, significantly enhancing collaboration and facilitating data-driven decision-making within the organization. This holistic strategy not only streamlines data management processes but also empowers users by ensuring that valuable insights are easily accessible, ultimately fostering a more informed workforce. The integration of user-friendly tools further encourages engagement and innovation in leveraging data for strategic objectives.

What is Lentiq?

Lentiq provides a collaborative data lake service that empowers small teams to achieve remarkable outcomes. This platform enables users to quickly perform data science, machine learning, and data analysis on their preferred cloud infrastructure. With Lentiq, teams can easily ingest data in real-time, process and cleanse it, and share their insights with minimal effort. Additionally, it supports the creation, training, and internal sharing of models, fostering an environment where data teams can innovate and collaborate without constraints. Data lakes are adaptable environments for storage and processing, featuring capabilities like machine learning, ETL, and schema-on-read querying. For those exploring the field of data science, leveraging a data lake is crucial for success. In an era defined by the decline of large, centralized data lakes post-Hadoop, Lentiq introduces a novel concept of data pools—interconnected mini-data lakes spanning various clouds—that function together to create a secure, stable, and efficient platform for data science activities. This fresh approach significantly boosts the agility and productivity of data-driven initiatives, making it an essential tool for modern data teams. By embracing this innovative model, organizations can stay ahead in the ever-evolving landscape of data management.

Media

Media

Integrations Supported

APERIO DataWise
Amazon Web Services (AWS)
Azure Synapse Analytics
Clarity Security
DataMarket
Databricks
Google Cloud BigQuery
Google Cloud Platform
Infodesk
Microsoft Azure
Nimway
Rayven
SQL Server
Shapelets
Simba
Snowflake
dataFactory
isorobot
jethro
mainsim

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Online Training

Training Options

Not specified

Company Facts

Organization Name

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.qlik.com/us/products/qlik-talend-data-integration-and-quality

Company Facts

Organization Name

Lentiq

Date Founded

2019

Company Location

United States

Company Website

lentiq.com

Categories and Features

Data Integration

Not specified

Data Lake

Not specified

Data Management

Not specified

Integration

Not specified

Categories and Features

Big Data

Not specified

Data Analysis

Not specified

Data Lake

Not specified

DataOps

Not specified

Machine Learning

Not specified

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