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What is Lyftrondata?

If you aim to implement a governed delta lake, build a data warehouse, or shift from a traditional database to a modern cloud data infrastructure, Lyftrondata is your ideal solution. The platform allows you to easily create and manage all your data workloads from a single interface, streamlining the automation of both your data pipeline and warehouse. You can quickly analyze your data using ANSI SQL alongside business intelligence and machine learning tools, facilitating the effortless sharing of insights without the necessity for custom coding. This feature not only boosts the productivity of your data teams but also speeds up the process of extracting value from data. By defining, categorizing, and locating all datasets in one centralized hub, you enable smooth sharing with colleagues, eliminating coding complexities and promoting informed, data-driven decision-making. This is especially beneficial for organizations that prefer to store their data once and make it accessible to various stakeholders for ongoing and future utilization. Moreover, you have the ability to define datasets, perform SQL transformations, or transition your existing SQL data processing workflows to any cloud data warehouse that suits your needs, ensuring that your data management approach remains both flexible and scalable. Ultimately, this comprehensive solution empowers organizations to maximize the potential of their data assets while minimizing technical hurdles.

What is CData Query Federation Drivers?

Embedded Data Virtualization empowers applications by offering seamless data connectivity. The CData Query Federation Drivers act as a comprehensive data access layer, simplifying the development of applications and facilitating data retrieval. With just one interface, users can execute SQL queries to access information from over 250 different applications and databases. This driver delivers robust features such as: a unified SQL language and API to interact with various SaaS, NoSQL, relational, and Big Data sources; the ability to merge data from multiple origins without the need for ETL processes; enhanced performance through intelligent push-down in federated queries; and support for more than 250 connections, thanks to the user-friendly CData Drivers. Overall, this solution streamlines the process of data management and integration for developers across diverse platforms.

Media

Media

Integrations Supported

Salesforce
Adform
Amazon S3
Bing
Bugzilla
Coinbase Commerce
Google Cloud BigQuery
IBM Cloud SQL Query
IBM Db2
IRI CellShield
Impala
Microsoft Dynamics SL
Oracle APEX
Pyramid Analytics
Qubit
Slack
Snapchat
Trevor.io
YouTube
Zoho CRM

Integrations Supported

Salesforce
Adform
Amazon S3
Bing
Bugzilla
Coinbase Commerce
Google Cloud BigQuery
IBM Cloud SQL Query
IBM Db2
IRI CellShield
Impala
Microsoft Dynamics SL
Oracle APEX
Pyramid Analytics
Qubit
Slack
Snapchat
Trevor.io
YouTube
Zoho CRM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lyftrondata

Date Founded

2017

Company Location

United States

Company Website

lyftron.com

Company Facts

Organization Name

CData Software

Date Founded

2014

Company Location

United States

Company Website

www.cdata.com/queryfederation/

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Replication

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

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

ETL

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

Categories and Features

Data Management

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

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