Lyftrondata Revenue and Competitors
Estimated Revenue & Valuation
- Lyftrondata's estimated annual revenue is currently $14.2M per year.
- Lyftrondata's estimated revenue per employee is $160,000
Employee Data
- Lyftrondata has 89 Employees.
- Lyftrondata grew their employee count by -12% last year.
Lyftrondata's People
Name | Title | Email/Phone |
---|---|---|
1 | CEO & Co-Founder | Reveal Email/Phone |
2 | Chief Technology Officer & Co Founder | Reveal Email/Phone |
3 | Sales Engineer | Reveal Email/Phone |
4 | Sales Engineer | Reveal Email/Phone |
5 | Graphic Designer & Video Editor | Reveal Email/Phone |
6 | Software Engineer | Reveal Email/Phone |
7 | Software Engineer | Reveal Email/Phone |
Lyftrondata Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $3.9M | 32 | 0% | N/A | N/A |
#2 | $1.5M | 18 | 38% | N/A | N/A |
#3 | $1M | 10 | -17% | N/A | N/A |
#4 | $19.7M | 123 | 19% | N/A | N/A |
#5 | $14.2M | 89 | -12% | N/A | N/A |
#6 | $2.2M | 27 | 23% | N/A | N/A |
#7 | $1.1M | 11 | -15% | N/A | N/A |
#8 | $15.7M | 98 | 44% | N/A | N/A |
#9 | $10.1M | 70 | 13% | N/A | N/A |
#10 | $6M | 47 | 27% | N/A | N/A |
What Is Lyftrondata?
Lyftrondata eliminates the time spent by engineers building data pipelines manually and makes data instantly available for insights. Lyftrondata Key Differentiators: > Create a Data Pipeline in Minutes: Register over 100+ 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.
keywords:N/AN/A
Total Funding
89
Number of Employees
$14.2M
Revenue (est)
-12%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $12.9M | 89 | 11% | N/A |
#2 | $300M | 89 | 1% | $4.2B |
#3 | $12.9M | 89 | -4% | N/A |
#4 | $35M | 89 | 13% | N/A |
#5 | $12.9M | 89 | 35% | N/A |