


Lyftrondata Revenue
Data Infrastructure and Analytics • Reston, Virginia, United States • 51-100 Employees
Lyftrondata revenue & valuation
| Annual revenue | $2,700,000 |
| Revenue per employee | $40,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Data Infrastructure and Analytics industry and current estimated revenues | $8,700,000 |
| Total funding | No funding |
Key Contact at Lyftrondata
Shagufta Begum
Chief Technology Officer & Co Founder
Company overview
| Headquarters | 1920 Association Dr, 404, Reston, Virginia 20191, US |
| Phone number | +18555938766 |
| Website | |
| NAICS | 518 |
| Keywords | Data Transformation, Data Virtualization, Data Governance, Data Replication, Data Sharing, Data Profiling, Data Hub, Data Catalog, Columnar Data Pipelines, Delta Lake, Etl/Elt Tools, Saas Etl |
| Founded | 2019 |
| Employees | 51-100 |
| Socials |
Lyftrondata Email Formats
Lyftrondata uses 2 email formats. The most common is {first initial}.{last name} (e.g., j.doe@lyftrondata.com), used 66.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@lyftrondata.com | 66.7% |
{first name}.{last name} | john.doe@lyftrondata.com | 33.3% |
About Lyftrondata
Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available from 300+ connectors for insights on warehouse powered by Snowflake instantly. Lyftrondata Key Differentiators: > Create a Data Pipeline in Minutes: Register over 300+ types of data sources in one place. Choose the most valuable data sources and replicate them to the cloud. > Power Modern Delta Lake & Data Warehouse: Lyftrondata enables you to build a modern data warehouse and data lake in just a few clicks. Normalize all data sets and load the data to the data warehouse. Apply complex transformations with SQL when needed. > Shortens Time-to-insights: Empower data-savvy users to find and prepare the data they need for analytics. Enable real-time access to any data source from any BI tool. > Unlimited Compute: Lyftrondata enables you to compute on Databricks Spark and Snowflake. Thus, you have the flexibility to choose to compute on either of these modern platforms. > Integrate Multiple Clouds: Build a single view of data across different clouds and regions. Replicate data between different regions of the clouds and put them in sync. > Phase Transition to the Cloud: Migrate on-premise data warehouses to the cloud step-by-step. Create data pipelines for migrated data warehouses and legacy data warehouses in real-time. Not all data warehouses may be moved to the cloud in one step. > Build an Agile Data Culture: Empower data users to find and prepare the data they need in analytics. A fast data strategy based on a combination of a modern data pipeline and real-time data saves delays in data preparation. > Ensure Data Governance in the Cloud: Build a searchable data catalog of valuable data sources. Apply table, row, and column security to any data source on-premise, SaaS, or in the cloud. Build a governed data lake integrated with the enterprise active directory for authentication.
Employees by Management Level
Total employees: 51-100
Seniority
Employees
Employees by Department
Lyftrondata has 46 employees across 6 departments.
Departments
Number of employees
Funding Data
Lyftrondata has never raised funding before.
Lyftrondata Tech Stack
Discover the technologies and tools that power Lyftrondata's digital infrastructure, from frameworks to analytics platforms.
CDN
CDN
JavaScript libraries
Tag managers
PaaS
Load balancers
Live chat
SSL/TLS certificate authorities
Miscellaneous
Analytics
JavaScript libraries
Frequently asked questions
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40,000 users



