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Vendor bench · TA leader

vector database Software Engineer vendor bench

For TA leaders: MongoDB 745 vs Elastic 569 current software engineer; three-vendor vector database bench 1,333, 2026-10-28 PT. Pinecone closes the bench at 19.

As-of 2026-10-28 PT Published by Metix AI Collection series
Vendor ledger

vector database vendor bench ledger

Read the ledger first: absolute depth and share are separate, as of 2026-10-28 PT.

VendorCurrent Software EngineerShare of bench
MongoDB74555.9%
Elastic56942.7%
Pinecone191.4%
Named list

Get the named vector database Software Engineer vendor list

Use this page's scope if you want the named list. The scope line is the whole request.

Depth and share

MongoDB leads, but how concentrated is the bench?

The top two are 98.6%; the tail is Pinecone at 19. Prefer the lead this week; keep the second as control.

0% 20% 40% 60% 80% 100% 55.9% 42.7% MongoDB 745 (55.9%) Elastic 569 (42.7%) Pinecone 19 (1.4%) Share of the vector database vendor bench people · As of 2026-10-28 PT 0% 30% 60% 90% 55.9% 42.7% MongoDB 745 (55.9%) Elastic 569 (42.7%) Pinecone 19 (1.4%) Share of the vector database vendor bench people · As of 2026-10-28 PT Each vendor's share of the 1,333-profile bench: MongoDB 745; Elastic 569; Pinecone 19. As of 2026-10-28 PT. Source: Metix AI.
Each vendor's share of the 1,333-profile bench. As of 2026-10-28 PT. Source: Metix AI.
Data & notes
MongoDB 745; Elastic 569; Pinecone 19.
NameValueShare
MongoDB74555.9%
Elastic56942.7%
Pinecone191.4%
Vendor list

Read vendor depth and concentration

A named list can follow this page once the scope is right. The page already fixes the companies and the titles.

Key takeaway · How to cite
0% 20% 40% 60% 80% 100% 97.2% MongoDB+Elastic 1,314 (97.2%) Pinecone 19 (1.4%) vector database: concentration (top2 / mid / tail) profiles · As of 2026-10-28 PT 0% 30% 60% 90% 97.2% MongoDB+Elastic 1,314 (97.2%) Pinecone 19 (1.4%) vector database: concentration (top2 / mid / tail) profiles · As of 2026-10-28 PT Concentration of the 1,333-profile bench. Top two MongoDB+Elastic = 1,314 (98.6%); mid 19; tail Pinecone = 19 (1.4%). As of 2026-10-28 PT. Source: Metix AI.
Concentration of the 1,333-profile bench. As of 2026-10-28 PT. Source: Metix AI.
Data & notes
Top two MongoDB+Elastic = 1,314 (98.6%); mid 19; tail Pinecone = 19 (1.4%).
NameValueShare
MongoDB+Elastic1,31497.2%
Pinecone191.4%
Pinecone191.4%
Depth by vendor

Current Software Engineer by vendor

As of 2026-10-28 PT.

MongoDB Elastic Pinecone 0 100 200 300 400 500 600 700 800 745 569 19 Current Software Engineer by vendor people · As of 2026-10-28 PT MongoDB Elastic Pinecone 0 200 400 600 800 745 569 19 Current Software Engineer by vendor people · As of 2026-10-28 PT Current Software Engineer on each vendor record: MongoDB 745; Elastic 569; Pinecone 19. As of 2026-10-28 PT. Source: Metix AI.
Current Software Engineer on each vendor record. As of 2026-10-28 PT. Source: Metix AI.
Data & notes
MongoDB 745; Elastic 569; Pinecone 19.
NameValue
MongoDB745
Elastic569
Pinecone19
VendorCurrent Software EngineerShare of bench
MongoDB74555.9%
Elastic56942.7%
Pinecone191.4%
Depth vs share

MongoDB: absolute depth vs share

Absolute and share leads can differ; here the lead is MongoDB.

MongoDB Elastic Pinecone 0 200 400 600 800 860 745 569 19 55.9 42.7 1.4 Current profiles Share of bench % vector database: vendor depth vs share As of 2026-10-28 PT MongoDB Elastic Pinecone 0 300 600 860 745 569 19 55.9 42.7 1.4 Current profiles Share of bench % vector database: vendor depth vs share As of 2026-10-28 PT Absolute depth and share diverge across MongoDB, Elastic, Pinecone; lead MongoDB at 745. As of 2026-10-28 PT. Source: Metix AI.
Absolute depth and share diverge across MongoDB, Elastic, Pinecone; lead MongoDB at 745. As of 2026-10-28 PT. Source: Metix AI.
Data & notes
CategoryCurrent profilesShare of bench %
MongoDB74555.9
Elastic56942.7
Pinecone191.4
How to use it

What it means for vector database Software Engineer vendor bench / how to use it

Cut and unmeasured

Cut stays on measured vector database vendors

The cut is current Software Engineer counted on each vendor's own record; each vendor needs at least 12 profiles. The total sums included vendors, not company headcount. Vendors not listed here were not measured. As of 2026-10-28 PT.

As of 2026-10-28 PT · Source: Metix AI

Notes & method

Methodology

Counts are Software Engineer profiles current on the named vendor record as of 2026-10-28 PT. The inclusion floor is 12 profiles per vendor; the total adds the included cells. Metix AI is the source.

Aggregate report · no personal information shown · provided by Metix AI
FAQ

FAQ

Who is counted in the vector database vendor bench?
A cell is a vendor's current Software Engineer count on 2026-10-28 PT. A vendor under 12 profiles stays out.
Is the vector database total company headcount?
Do not read the total as one company's employees. The lead vendor is MongoDB at 745, inside 1,333.
Who uses the vector database vendor bench?
Use it when the choice is which vendor bench to hire from. The stack on this page is vector database.
Where do the vector database figures come from?
Every count is dated 2026-10-28 PT. The publisher is Metix AI.

Request the vector database Software Engineer vendor list

Use this page's scope if you want the named list. Keep the request inside the companies and titles already shown.

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