Big Data Investors

Find Big Data investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for Big Data-focused venture capitalists, angels, and institutional investors at every stage.

6,629 investors
SP

Sandesh Patnam

DFJ Growth

Angel Investor
Seed Early Stage Crypto Web3 Blockchain Big Data Investment Management +7 more
DH
Angel Investor
Pre-Seed Seed Big Data Small And Medium Businesses Marketplaces +7 more
BD

Brandt Downing

Crosscut Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Investment Management +7 more
FM

Frederic Mayerson

Maywic Select Investments

Angel Investor
Seed Early Stage Big Data Investment Management Digital Health +4 more
ST

Sergey Toporov

Leto Family Office

Family Office
Seed Early Stage Vr Metaverse Big Data Investment Management +7 more
TL

Tyler Lancaster

Energize Ventures

VC Firm
Early Stage Growth Big Data Investments SaaS +4 more
CN

Craig Nolan

Akkadian Ventures

VC Firm
Seed Early Stage Big Data Investment Management Internet Of Things Iot +5 more
PO

Philipp Otdelnov

STCAP (Stereo Capital)

VC Firm
Seed Early Stage Big Data Digital Health Internet Of Things Iot +7 more
DI

Dejan Ilic

Veritas Capital

VC Firm
Early Stage PE Growth/Expansion Big Data Investment Management Digital Media +7 more
JC

John Cowgill

Costanoa Ventures

VC Firm
Seed Early Stage Big Data Investment Management Biotechnology +7 more
ZM

Zlatolina Mukova

New Vision 3 Fund

VC Firm
Seed Early Stage Vr Metaverse Crypto Web3 Blockchain Big Data +7 more
JR

John Replogle

One Better Ventures, LLC

VC Firm
Seed Early Stage Big Data Investment Management Digital Health +7 more
CM

Christopher Melton

The White Oak Group

Corporate VC
PE Growth/Expansion Buyout Big Data Healthcare Internet Of Things Iot +7 more
CC
Angel Investor
Pre-Seed Seed Bio Pharm Big Data Small And Medium Businesses +7 more
DK

Dimitri Kallinis

Axon Partners Group

Corporate VC
Seed Early Stage Big Data Investment Management SaaS +7 more
MM

Marat Mukhamedyarov

Good News Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Internet Of Things Iot +5 more
KV

Kaj Van de Loo

Angel / Independent

Angel Investor
Seed Big Data Healthcare Consumer Internet +6 more
KR

Kathleen Reaume

Vistara Capital Partners

VC Firm
Seed Early Stage Big Data Ad Tech Internet Of Things Iot +7 more
MK
Angel Investor
Early Stage Growth Big Data Investment Management SaaS +4 more
FK

Frank Kurstjens

Angel / Independent

Angel Investor
Seed Big Data SaaS Pharmaceutical +2 more
TM

Tarik Mallett

Menlo Ventures

VC Firm
Seed Early Stage Big Data Small And Medium Businesses Marketplaces +7 more
JP

Jeffrey Peterson

Angel / Independent

Angel Investor
Seed Big Data Marketplaces Mobile Games +7 more
JQ

Jack Qian

New Mountain Capital

VC Firm
Early Stage Growth Big Data Investment Management Digital Health +7 more
DA

David An

Sequoia Capital

VC Firm
Seed Early Stage Crypto Web3 Blockchain Big Data Marketplaces +7 more
PH

Paul Harper

Equistone Partners Europe

Angel Investor
PE Growth/Expansion Buyout Big Data Investment Management Digital Health +7 more

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of Big Data investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The Big Data space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 Big Data investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the Big Data sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.