Overall Winner: Groq·80/ 100
VS
G
GroqWinner

Zilliz vs Groq

In-depth comparison — valuation, funding, investors, founders & more

Z
Zilliz

🇺🇸 United States · Charles Xie

Series BAI InfrastructureEst. 2017

Valuation

N/A

Total Funding

$113M

65
Awaira Score65/100

100-500 employees

Full Zilliz Profile →
Winner
G
Groq

🇺🇸 United States · Jonathan Ross

Series DAI InfrastructureEst. 2016

Valuation

$2.8B

Total Funding

$640M

80
Awaira Score80/100

300 employees

Full Groq Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Zilliz and Groq compete directly in the AI Infrastructure space, making this a head-to-head matchup within the same market segment. Zilliz is the commercial company behind Milvus, the most widely deployed open-source vector database, and operates Zilliz Cloud, a fully managed vector database service built on that foundation. Groq is an AI infrastructure company founded in 2016 that designs and manufactures specialized processors for artificial intelligence workloads.

Groq carries a known valuation of $2.8B, while Zilliz's valuation has not been publicly disclosed. On the funding side, Groq has raised $640M in total — $527M more than Zilliz's $113M.

Groq has 1 year more market experience, having been founded in 2016 compared to Zilliz's 2017 founding. In terms of growth stage, Zilliz is at Series B while Groq is at Series D — a meaningful difference for investors evaluating risk and upside.

Both companies are headquartered in 🇺🇸 United States, competing for the same regional talent and customer base. On Awaira's 0–100 composite score, Groq leads with a score of 80, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricZillizGroq
💰Valuation
N/A
$2.8B
📈Total Funding
$113M
$640MWINS
📅Founded
2017WINS
2016
🚀Stage
Series B
Series D
👥Employees
100-500
300
🌍Country
United States
United States
🏷️Category
AI Infrastructure
AI Infrastructure
Awaira Score
65
80WINS

Key Differences

📈

Funding gap: Groq has raised $527M more ($640M vs $113M)

📅

Market experience: Groq has 1 year more (founded 2016 vs 2017)

🚀

Growth stage: Zilliz is at Series B vs Groq at Series D

👥

Team size: Zilliz has 100-500 employees vs Groq's 300

⚔️

Direct competitors: Both operate in the AI Infrastructure market segment

Awaira Score: Groq scores 80/100 vs Zilliz's 65/100

Which Should You Choose?

Use these signals to make the right call

Z

Choose Zilliz if…

  • Zilliz is the commercial company behind Milvus, the most widely deployed open-source vector database, and operates Zilliz Cloud, a fully managed vector database service built on that foundation
G

Choose Groq if…

Top Pick
  • Higher Awaira Score — 80/100 vs 65/100
  • More established by valuation ($2.8B)
  • Stronger investor backing — raised $640M
  • More market experience — founded in 2016
  • Groq is an AI infrastructure company founded in 2016 that designs and manufactures specialized processors for artificial intelligence workloads

Funding History

Zilliz raised $113M across 0 rounds. Groq raised $640M across 4 rounds.

Zilliz

No public funding data available.

Groq

Series D

Oct 2023

Lead: SoftBank Vision Fund 2

$450M

Series C

Oct 2021

Lead: Menlo Ventures

$120M

Series B

Jan 2021

Lead: Sapphire Ventures

$40M

Series A

Jan 2019

$30M

Investor Comparison

No shared investors detected between these two companies.

Unique to Groq

SoftBank Vision Fund 2Tiger GlobalFoundry GroupMenlo VenturesSapphire VenturesLerer Hippeau

Users Also Compare

FAQ — Zilliz vs Groq

Is Zilliz bigger than Groq?
Groq has a disclosed valuation of $2.8B, while Zilliz's valuation is not publicly available, making a direct size comparison difficult. Groq employs 300 people.
Which company raised more funding — Zilliz or Groq?
Groq has raised more in total funding at $640M, compared to Zilliz's $113M — a gap of $527M. Combined, the two companies have completed 4 known funding rounds.
Which company has a higher Awaira Score?
Groq holds the higher Awaira Score at 80/100, compared to Zilliz's 65/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 15-point gap that reflects meaningful differences in scale or traction.
Who founded Zilliz vs Groq?
Zilliz was founded by Charles Xie in 2017. Groq was founded by Jonathan Ross in 2016. Visit each company's profile on Awaira for a full founder biography.
What does Zilliz do vs Groq?
Zilliz: Zilliz is the commercial company behind Milvus, the most widely deployed open-source vector database, and operates Zilliz Cloud, a fully managed vector database service built on that foundation. Milvus supports billion-scale vector collections with high throughput and low-latency query performance, and is widely used in AI search, recommendation, and retrieval-augmented generation applications.\n\nThe company raised approximately 113 million USD and has established Milvus as a standard component of the AI infrastructure stack at large technology companies and enterprises globally, with substantial adoption in China, the United States, and Southeast Asia. The open-source project has accumulated tens of thousands of GitHub stars and an active contributor community across academic and commercial organizations.\n\nZilliz occupies a strategically important position in the vector database market as the steward of the most mature open-source option in the category. Enterprise customers who start with Milvus often migrate to Zilliz Cloud for managed operations, giving the company a land-and-expand motion built on open-source adoption. This model positions Zilliz to capture a large share of the growing enterprise vector infrastructure market as AI workloads move from experimentation to mission-critical production. Groq: Groq is an AI infrastructure company founded in 2016 that designs and manufactures specialized processors for artificial intelligence workloads. The company's core product is the Language Processing Unit (LPU), a custom-built chip architecture optimized for inference tasks in large language models and other AI applications. Unlike traditional GPUs designed for general-purpose computing, Groq's LPUs prioritize deterministic latency and throughput for sequential AI processing, enabling faster token generation in inference scenarios. Groq has positioned itself as an alternative to NVIDIA's GPU-dominated infrastructure market, targeting enterprises requiring high-performance AI inference at scale. The company offers cloud-based access to its hardware through GroqCloud, allowing developers to run inference workloads with reduced latency compared to conventional GPU implementations. With $640 million in total funding and a valuation of $2.8 billion as of its Series D stage, Groq operates in the competitive AI infrastructure sector. The company competes with established players like NVIDIA, as well as emerging alternatives including custom chip manufacturers and cloud providers developing proprietary AI accelerators. Groq's growth trajectory reflects increasing enterprise demand for efficient inference infrastructure, though specific customer names and revenue figures remain undisclosed. Groq's LPU architecture specifically optimizes for inference latency rather than training, addressing a distinct performance bottleneck in deployed AI systems.
Which company was founded first?
Groq was founded first in 2016, giving it 1 year of additional market experience. Zilliz was founded later in 2017. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Zilliz has approximately 100-500 employees, while Groq has approximately 300. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Zilliz and Groq competitors?
Yes, Zilliz and Groq are direct competitors — both operate in the AI Infrastructure space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.