e6data Revenue and Competitors

Location

$14M

Total Funding

SaaS

Industry

Estimated Revenue & Valuation

  • e6data's estimated annual revenue is currently $13.9M per year.(i)
  • e6data's estimated revenue per employee is $160,000
  • e6data's total funding is $14M.

Employee Data

  • e6data has 87 Employees.(i)
  • e6data grew their employee count by 64% last year.

e6data's People

NameTitleEmail/Phone
1
Co-Founder / Head DevopsReveal Email/Phone
2
Co-Founder and CTOReveal Email/Phone
3
Director - SalesReveal Email/Phone
4
Product ManagerReveal Email/Phone
5
Associate Product ManagerReveal Email/Phone
6
Software EngineerReveal Email/Phone
7
Product EngineerReveal Email/Phone
8
QA EngineerReveal Email/Phone
9
Data EngineerReveal Email/Phone
10
Senior Performance and Research EngineerReveal Email/Phone
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$572.3M255510%N/AN/A
#2
$0.5M13-24%$10MN/A
#3
$0.5M13-50%N/AN/A
#4
$3.9M3245%N/AN/A
#5
$1M1043%N/AN/A
#6
$2M20-17%$5.65MN/A
#7
$28.5M1621%N/AN/A
#8
$5.2M41-21%N/AN/A
#9
$16.6M10433%N/AN/A
#10
$1.1M11450%N/AN/A
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What Is e6data?

60% Lower TCO and 5-10x Superior Performance for the most demanding analytics workloads on your data lake, lakehouse\n\nExisting Data Warehouse and Data Lakehouse Engines fall short when it comes to the most demanding enterprise analytics workloads. Data engineering and Platform teams find it impossible to simultaneously achieve lower TCOs, ever-increasing usage, and query latency / throughput SLA's. \n\ne6data’s answer is to drive breakthroughs on the processing efficiency frontier. This pursuit drove us to a clean-slate, bold new approach to building MPP-style columnar processing and vectorized execution engines.\n\nKeep what's working, and get started with e6data only on your most expensive and/or challenging workloads on your existing data lakehouse: \n60% Lower TCO, and 5-10x Faster Queries and Higher Concurrency\n \n1) Works with your existing Data Lakehouse: Delta / Iceberg / Hudi / Hive\n2) Secure, Private: fully within your AWS / GCP / Azure account (incl. existing VPCs)\n3) No changes to BI / Reporting Tools, Application Layer, Queries\n4) No changes to your ETL, data pipelines\n5) Deploys in your existing Kubernetes cluster

keywords:N/A

$14M

Total Funding

87

Number of Employees

$13.9M

Revenue (est)

64%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$12.2M87-13%$224.3M
#2
$35M8726%N/A
#3
$12.2M879%$6.8M
#4
$25.2M87N/AN/A
#5
$17.8M87-3%N/A