Michael Ni

Vice President and Principal Analyst
Constellation Research
Michael Ni photograph

Results

Qdrant has released Qdrant-Fineweb-10B, a public benchmark dataset built on 10 billion documents with exact ground truth for 120,000 queries. It covers dense, sparse and metadata-filtered retrieval, with known nearest-neighbor results to k=1,000. Qdrant is also releasing Supernova, the toolkit used to generate the embeddings and compute the benchmark.

MyPOV

  • Vector search is becoming table stakes (often embedded into DB or platform)
  • Specialists like Qdrant need to differentiate: better retrieval quality, latency, scale economics
    CDOs, CDAOs and COOs neeed to understand retrieval is part of the AI operating architecture given retrieval determines what evidence reaches the model before an agent decides.
  • Qdrant pushing to educate with making evaluation easier to force leaders to ask the question, “When does retrieval become important enough to operate, optimize and govern as its own infrastructure layer?”

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News: https://www.techtarget.com/data-technologies/news/366649627/Qdrant-builds-dataset-to-benchmark-vector-retrieval-at-scale

Salesforce shares rose 22.6% after its Q2 FY27 results were announced on August 26 and continued higher Friday. Revenue reached $11.35B, +11% YoY, while cRPO reached $33.5B

  • Driver: important was AI evidence where Agentforce ARR exceeded $1.5B, +240% YoY; Agentforce + Data 360 ARR approached $3.9B, +210%+; interestingly is growth in new AI consumption pricing approach where customers consumed 3.2B Agentic Work Units in Q2, +97% sequentially.
  • Supporting moves: headless support (yes, older news), Anthropic partnership (just announced with Claude getting live access to SFDC context, delivering 37 prebuilt sales skills)

MyPOV:

  • This quarter weakens the "AI kills SaaS" thesis, where the CR stance is that ownership of key data context (MDM, prioritization logic, policies), critical workflows/execution paths, and learning loops wins.
  • CIO architecture evaluations need to consider which platform controls business context, permissions, state, and action when any model can become the interface.
MongoDB had the kind of quarter most software companies would love, with revenue up 30% to $772 million, Atlas up 29%, Enterprise Advanced up 36%, and profitability improving.
The market wanted faster Atlas acceleration, but the more interesting number was the 36% growth in Enterprise Advanced. Management statements reflect strength across both Atlas and its run-anywhere business, even as MongoDB makes Search, Vector Search, and retrieval available across cloud, private, and self-managed environments. My read is the management statements reflects the growing Enterprise interest in the value of AI deployment optionality. As data and AI workloads move into production, enterprises seem to want the intelligence closer to where their operational data already lives.

For more details
• Larry Dignan's coverage on MongoDB: https://buff.ly/USeY6kL
• MongoDB release: https://buff.ly/XVL5gK6