200X Acceleration at
1/10th of the cost
Zero
maintenance
No credit card
required
Zero coding
infrastructure
Multi-level
security
Simplify OmniSci integration in
4 simple steps
Create connections
between OmniSci and targets.
Prepare pipeline
between OmniSci and targets by selecting tables in bulk.
Create a workflow
and schedule it to kickstart the migration.
Share your data
with third-party platforms over API Hub
Why choose Lyftrondata for OmniSci Integration?
Simplicity
Build your OmniSci pipeline and experience unparalleled data performance with zero training.
Robust Security
Load your OmniSci data to targets with end-to-end encryption and security.
Accelerated ROI
Rely on the cost-effective environment to ensure your drive maximum ROI.
Customer's Metrics
Track the engagement of your customers across different channels like email, website, chat, and more.
Improved Productivity
Measure the performance of your team and highlight areas of improvement.
360-degree Customer View
Join different data touch points and deliver personalized customer experience.
Hassle-free OmniSci integration to the platforms of your choice
Migrate your OmniSci data to the leading cloud data warehouses, BI tools, databases or Machine Learning platforms without writing any code.
Your Cloud Data Warehouses
Your BI Tools
Your Database
Your Machine Learning Tools
Hear how Lyftrondata helped accelerate the data journey of our customers
FAQs
What is OmniSci?
OmniSci, formerly known as MapD, is a high-performance analytics platform designed for processing and visualizing large volumes of data in real time. It leverages a unique combination of GPU (Graphics Processing Unit) acceleration and an advanced SQL-based query engine, allowing users to perform complex queries and analytics on big data efficiently.
What are the features of OmniSci?
Real-Time Analytics:
The platform supports real-time data ingestion and analytics, allowing users to analyze streaming data and gain insights immediately as the data arrives.
Interactive Visualization:
OmniSci includes powerful visualization tools that enable users to create interactive dashboards and visualizations. This helps users explore data visually and identify patterns quickly.
SQL Compatibility:
The platform supports standard SQL, making it accessible to users familiar with traditional relational databases. This compatibility allows for easier integration with existing workflows and tools.
Scalability:
OmniSci is designed to scale horizontally, enabling it to handle massive datasets across distributed computing environments. This scalability ensures that organizations can grow their data analytics capabilities as needed.
What are the shortcomings of OmniSci?
Complexity of Setup:
Installation and Configuration: Setting up OmniSci can be complex, particularly in distributed environments. Organizations may require specialized knowledge to configure and optimize the system effectively.
Integration Challenges:
Data Source Compatibility: While OmniSci supports various data sources, integrating with certain systems or legacy databases may require additional effort or custom development.
Performance Tuning:
Need for Optimization: Achieving optimal performance may require ongoing tuning and optimization, which can add to the operational overhead for data teams.
Make smarter decisions and grow your sales with Lyftrondata OmniSci integration
