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Project

BigQuery

BigQuery is Google Cloud's serverless, fully managed data warehouse for large-scale SQL analytics and business intelligence.

Known aliases

  • GoogleSQL

Current stories

productConfirmed23 publishers

Google Cloud's Gemini agent carries one memory into Microsoft 365, Slack and the command line

Google Cloud's Gemini agent works inside Workspace, Microsoft 365, Slack and the command line, keeping one set of memories across all of them. For whoever rolls it out, the work becomes wiring in the systems of record and access controls it depends on.

Perspective Coverage

25 publishers
Builder
Builder 26%
Operator
Operator 45%
Investor
Investor 29%

Reality

Evidence60
Adoption15
Hype gap+40
Incentives72
Confidence58
scienceConfirmed3 publishers

Microsoft and Google back Apache Ossie's shared format for moving semantic models between platforms

Microsoft and Google are joining Apache Ossie, an open format for moving semantic models between platforms that more than 60 companies already back. Its shared hub cuts converter work, though analysts say lock-in eases only as far as the format can carry each vendor's logic.

Perspective Coverage

4 publishers
Builder
Builder 45%
Operator
Operator 34%
Investor
Investor 21%

Reality

Evidence52
Adoption18
Hype gap+15
Incentives60
Confidence58
buildOne report1 publisher

One GCP VM runs an ML team's Airflow for under $150 a month against Composer's $350 estimate

One ML team moved Airflow off on-prem boxes onto a single GCP VM estimated at under $150 a month, against about $350 for Cloud Composer 3. Its published repo gives other teams a working build to price against their own Composer quote.

Publishers:dev.to

Reality

Evidence35
Adoption10
Hype gap+15
Incentives
Not scored
Confidence40
buildOne report1 publisher

Collapsing three copies into one Iceberg table moves the conflict into an HTTP 409

A GCP walkthrough put Spark, Trino and BigQuery on the same orders table through Google's Iceberg REST catalog. The 409 ConflictException it logged is the part of the demo a production pipeline has to plan for.

Publishers:dev.to

Reality

Evidence38
Adoption18
Hype gap+20
Incentives35
Confidence45
buildOne report1 publisher

A nine-agent pipeline injects canonical API examples because its agents can skip the MCP lookup

The team behind a nine-agent code generator reports about 30,000 tokens and 15 to 20 Pro-tier model calls per request, and attributes its reliability to strict output schemas and context the agents cannot decline to read.

Publishers:dev.to

Reality

Evidence40
Adoption28
Hype gap+15
Incentives55
Confidence42
buildOne report1 publisher

TiDB quietly turns primary-key ORDER BY into a TopN, and the fix is not in v8.5.7

Mercari's DBRE team found that on tables with a composite or non-integer primary key, TiDB reads every matching index entry and then sorts. The upstream fix is in master, not in the current LTS.

Reality

Evidence72
Adoption38
Hype gap−12
Incentives32
Confidence61