Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
If you're looking to establish a governed delta lake, create a data warehouse, or transition from a conventional database to a contemporary cloud data solution, Lyftrondata has you covered. You can effortlessly create and oversee all your data workloads within a single platform, automating the construction of your pipeline and warehouse. Instantly analyze your data using ANSI SQL and business intelligence or machine learning tools, and easily share your findings without the need for custom coding. This functionality enhances the efficiency of your data teams and accelerates the realization of value. You can define, categorize, and locate all data sets in one centralized location, enabling seamless sharing with peers without the complexity of coding, thus fostering insightful data-driven decisions. This capability is particularly advantageous for organizations wishing to store their data once, share it with various experts, and leverage it repeatedly for both current and future needs. In addition, you can define datasets, execute SQL transformations, or migrate your existing SQL data processing workflows to any cloud data warehouse of your choice, ensuring flexibility and scalability in your data management strategy.
Description
Our partnership combines Pandera's extensive expertise in enterprise, industry, and technology with the cutting-edge innovations of Google Cloud. By merging business and data solutions, we create impactful synergies that facilitate modernization in the cloud. Upgrade your data platform to fully harness the potential of your data while minimizing expenses and speeding up data-informed decision making processes. We revolutionize how organizations utilize and interpret information, enhancing their capabilities for data-driven decisions. Our comprehensive services empower you to lead innovation by offering both strategic guidance and technical know-how, ensuring you can fully exploit your data's capabilities. Additionally, we assist in formulating a strategic roadmap and practical methods for your cloud adoption across various environments, whether public, private, or hybrid, ultimately fostering a more agile and responsive organization.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon
Yes
Amazon QuickSight
Yes
Amazon S3
Yes
Branch
Yes
Delighted
Yes
Dropbox Sign
Yes
IBM Cloud
Yes
IRI CellShield
Yes
Microsoft Dynamics 365 Project Operations
Yes
Microsoft Excel
Yes
Integrations
Amazon
No
Amazon QuickSight
No
Amazon S3
No
Branch
No
Delighted
No
Dropbox Sign
No
IBM Cloud
No
IRI CellShield
No
Microsoft Dynamics 365 Project Operations
No
Microsoft Excel
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
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
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Lyftrondata
Founded
2017
Country
United States
Website
lyftron.com
Vendor Details
Company Name
Pandera Systems
Country
United States
Website
panderasystems.com
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Data Replication
Asynchronous Data Replication
No
Automated Data Retention
No
Continuous Replication
No
Cross-Platform Replication
No
Dashboard
No
Instant Failover
No
Orchestration
No
Remote Database Replication
No
Reporting / Analytics
No
Simulation / Testing
No
Synchronous Data Replication
No
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
ETL
Data Analysis
No
Data Filtering
No
Data Quality Control
No
Job Scheduling
No
Match & Merge
No
Metadata Management
No
Non-Relational Transformations
No
Version Control
No
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