Lyftrondata Revenue and Competitors

Location

N/A

Total Funding

Software

Industry

Estimated Revenue & Valuation

  • Lyftrondata's estimated annual revenue is currently $13.9M per year.(i)
  • Lyftrondata's estimated revenue per employee is $160,000

Employee Data

  • Lyftrondata has 87 Employees.(i)
  • Lyftrondata grew their employee count by -12% last year.

Lyftrondata's People

NameTitleEmail/Phone
1
Sales EngineerReveal Email/Phone
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$3.6M300%N/AN/A
#2
$15.2M9528%N/AN/A
#3
$13.9M87-12%N/AN/A
#4
$2.1M2624%N/AN/A
#5
$1.2M13-35%N/AN/A
#6
$15.4M9643%N/AN/A
#7
$10.7M74-25%N/AN/A
#8
$9.4M655%N/AN/A
#9
$0.6M740%N/AN/A
#10
$2.9M26136%N/AN/A
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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.

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Total Funding

87

Number of Employees

$13.9M

Revenue (est)

-12%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$7.5M8710%N/A
#2
$12.6M8745%N/A
#3
$12.6M87-5%N/A
#4
$12.8M8819%N/A
#5
$7.5M890%N/A