Zilliz
Company Overview
As of September 3, 2026: Zilliz is a vector database platform targeting enterprise AI workloads, with $103M raised and a free entry point that scales to hundred-billion-vector deployments.
Dedicated tiers start at $126/month, usage-based storage runs as low as $5 per million vectors per month, and the platform claims 44 capabilities including hybrid search and RAG across 30 integrations. The compliance stack covers SOC 2 Type II, HIPAA, and ISO 27001, which clears the paperwork hurdle for most regulated enterprise buyers.
Backed by 158 dated facts
Drawn from 10 dimensions of the record, each dated and sourced.
Drawn from 10 dimensions of the record, each dated and sourced.
uptime SLA
99.95%
Sep 2026
open roles
14
Sep 2026
integrations
30
Sep 2026
technologies
19
observed
dated changes
656
Aug 2026
The record, by dimensionevery dimension is its own page →
PricingBacked by 18 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.
Every value derives from a dated, sourced capture — open any fact for its source.
Self-serve, free tier
Standard Dedicated starts at $126/mo and Standard Serverless at $0, with storage clusters at $5 per million vectors per month and performance-optimized clusters at $63 per million vectors per month; a solo developer can start free, but any serious production workload will require a conversation with sales at the Business Critical or BYOC tiers, where pricing is undisclosed.
Full pricing read →Features
Hybrid search platform
44 stated capabilities including hybrid search and RAG, 30 integrations, and manual scaling up to 2,048 CUs; the breadth covers the core AI retrieval stack, though buyers should verify which capabilities are gated to higher tiers before committing.
Backed by 75 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Security
Compliance-ready
SOC 2 Type II, HIPAA, and ISO 27001 certifications are stated, alongside GDPR and 10 controls including Audit Logs, Encryption at Rest, and Encryption in Transit; this is a credible compliance posture for healthcare and financial enterprise buyers, though independent audit reports are not publicly linked.
Backed by 14 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Reliability
Dependable
A 99.95% uptime SLA is stated on the site; no public uptime history or status-page track record is referenced in the available signals, so buyers should ask for historical incident data before relying on that number contractually.
Backed by 1 dated fact
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Hiring
Scaling
14 open roles spanning engineering, people, and sales, with remote-friendly options; the sales hiring in particular suggests active pipeline growth, which typically means pricing and contract terms are still negotiable for early enterprise customers.
Backed by 6 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Stack
Detected + stated stack
The live site runs Angular, Auth0, and AWS among 16 detected technologies; job postings confirm Milvus on the backend, which makes sense given Zilliz's public relationship with the open-source Milvus project and is relevant context for buyers evaluating vendor lock-in.
Backed by 22 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Positioning
Vector Lakebase
The homepage headline is "The Vector Lakebase for AI" with an explicit claim of hundred-billion data scale; Zilliz names Elasticsearch and Milvus as the reference points it competes against, which tells enterprise buyers the pitch is about replacing general-purpose search and graduating beyond self-managed open-source Milvus.
Backed by 6 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Funding
$103M raised across 2 rounds
$103M raised across a Series B and a Series B Extension of $60M led by Prosperity7 Ventures in August 2022; no funding activity is noted after that date in the available signals, meaning the company is now roughly three years into its last capital raise.
Backed by 8 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Location
Redwood City, US · +5 offices
Headquartered in Redwood City with offices in Berlin, London, New York, Shanghai, and Singapore; the global footprint supports enterprise sales across North America, Europe, and Asia, though the work model is not stated publicly.
Backed by 6 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Legal
Zilliz Inc.
The registered entity is Zilliz Inc. and the terms carry a mandatory-arbitration clause; governing law and incorporation state are not stated, so enterprise legal teams will need to resolve those details during contract review.
Backed by 2 dated facts
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Every value derives from a dated, sourced capture — open any fact for its source.Full read →
Change History656 dated events on the record
Security signal added: IP Allowlisting · high significance
Feature added: Manual Scaling Max Cus
Job-posting decline: Open Roles · high significance
Technology removed: C · high significance
Technology removed: Go · high significance
Feature added: Alerting
Feature removed: Data Masking · high significance
Get this record via API / MCPevery field dated and sourced
RESTopen tier
GET https://api.bixel.com/v1/companies/zilliz.com
{
"data": {
"company": {
"name": "Zilliz",
"domain": "zilliz.com",
"categories": [
"vector-databases"
]
},
"dimensions": {
"reliability": {
"facts": [
{
"key": "reliability.sla_pct",
"value": 99.95,
"provenance": "company_stated",
"as_of": "2026-09-03",
"source_url": "zilliz.com/sla"
},
{
"key": "security.cert.hipaa",
"value": true,
"provenance": "company_stated",
"as_of": "2026-09-03",
"source_url": "zilliz.com/trust-center"
},
{
"key": "hiring.open_roles",
"value": 14,
"provenance": "company_stated",
"as_of": "2026-09-03",
"source_url": "jobs.lever.co/zilliz/02848077-ca83-461e-87cd-e8b95d7f0c51"
}
]
},
"…": "…"
}
}
}MCPfor agents
# any MCP client (Claude, agents)
const record = await bixel.get_company({ domain: "zilliz.com" })
# returns the whole record above,
# each value with its source_url + as_of,
# ready to reason overBuild on the company record. One key, REST + MCP, every signal dated and sourced back to the page it came from.
How Bixel reads this
Every read above is derived from public signals, each sourced and dated, and kept honest about provenance: what the company states on its own pages and job posts (pricing, security, careers, positioning, its backend stack) versus what Bixel independently detects (technologies, infrastructure). Where a stated claim is also detected we mark it verified; where we only have the claim, we say so. Bixel infers posture: how it monetizes, how mature it is, where it's heading. It does notclaim private financials it can't observe. Where signals are thin, the record says so.
Public record, read from companies' own pages and boards. Every fact dated and sourced; provenance (observed vs company stated) shown inline.