Datacoral Revenue and Competitors

Location

N/A

Total Funding

Estimated Revenue & Valuation

  • Datacoral's estimated annual revenue is currently $145k per year.(i)
  • Datacoral's estimated revenue per employee is $72,500

Employee Data

  • Datacoral has 2 Employees.(i)
  • Datacoral grew their employee count by 0% last year.

Datacoral's People

NameTitleEmail/Phone
1
Head Customer SuccessReveal Email/Phone
2
Software EngineerReveal Email/Phone
3
Software EngineerReveal Email/Phone
4
Software EngineerReveal Email/Phone
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$2.9M294%N/AN/A
#2
$43.4M2728%N/AN/A
#3
$14.1M9711%N/AN/A
#4
$1460M82917%$1.1BN/A
#5
$310M152720%N/AN/A
#6
$194.1M956-5%N/AN/A
#7
$223.9M1080-33%$101.6MN/A
#8
$581.3M27089%$253.1MN/A
#9
$716.2M35282%N/AN/A
#10
$801.4M394852%N/AN/A
Add Company

What Is Datacoral?

Datacoral provides a secure, end-to-end data infrastructure as a service, enabling data scientists and data engineers to focus on working in the data rather than the scaffolding around it. We are founded and built by the people that built data infrastructure at 21st century unicorns: Yahoo!, Facebook, Groupon, MuleSoft and Splunk. The company was incubated at Social Capital, received Series A investment from Madrona Venture Partners as well. Many of our customers aspire to become unicorns themselves. An AWS-native solution, Datacoral deploys Serverless Microservices in your VPC, the system is very secure and we never see your data values. We manage the infrastructure, you work in the data using your SQL skills. We connect to over seventy data sources and targets and follow modern Extract, Load and Transform (ELT) best practices for orchestrating data pipelines into and out of your data warehouse. Datacoral supports Amazon Redshift, Amazon Athena and Snowflake data warehouses, in which you use your favorite SQL query editor to build materialized views that transform your data. Unlike other solutions, we do not stop at simply ingesting data into a warehouse, we help orchestrate its continuous flow--from original cloud sources through landing in S3; loading into the warehouse; executing materialized views for analytics and cleansing; and publishing to data science platforms, analytics environments and even to operational systems like Salesforce. We help save our customers two to three man-years in resources, annually. We are their data engineering team, they work in their data. As a data-driven organization, you need to derive value as quickly as you can, yet data programming in the cloud can involve hundreds of technologies, many that you may need to learn. We already know them.

keywords:N/A

N/A

Total Funding

2

Number of Employees

$145k

Revenue (est)

0%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$0.1M20%N/A
#2
$0.2M20%$138M
#3
$128.2M20%$138.2M
#4
$0M20%$2.6M
#5
$0M20%$3M