Releasesby GlyphData products can now include your agents, not just their data
Add your agent to a data product, and it covers the agent and every table that feeds it. When upstream data breaks, you can see which agent it affects, and the agent’s health sits next to the health of its data.
Also shipped Nov 9, 2026Monte Carlo in November 2026 →
The following AlloyDB AI features and improvements are generally available ( GA ): - Smart batching for AI...
The following AlloyDB AI features and improvements are generally available ( GA ): Smart batching for AI functions: AI function acceleration is generally available for ai.if , ai.rank , ai.analyze_sentiment , ai.summarize , ai.extract , ai.classify , and ai.generate on AlloyDB clusters running PostgreSQL 17 and later.
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions. This feature attributes billed compute charges directly to the query projects that use your administration project's reservation capacity.
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are...
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are generally available (GA). For more information, see Troubleshoot job performance and Diagnose performance regressions by comparing jobs and systems .
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline...
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks. This feature is generally available (GA).
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the...
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the Zstandard (Zstd) lossless data compression algorithm. The following functions are supported: ZSTD_COMPRESS ZSTD_DECOMPRESS_TO_BYTES ZSTD_DECOMPRESS_TO_STRING These functions are in Preview .
Fast mode for Anthropic Claude models is generally available
Fast mode for supported Anthropic Claude models, starting with Claude Fable 5.2 ( claude-fable-5-2 ), is available in General Availability (GA) . You can set "speed": "fast" in online pay-as-you-go prediction requests to accelerate output token generation for latency-sensitive agentic workflows.
More from Monte CarloEvery Monte Carlo release →
Analytics API (Public preview): report on the health of the data behind your agents, from your AI tool
The Monte Carlo Analytics API is now in public preview, allowing users to query data health, alert status, and cost metrics directly from AI tools via the Monte Carlo MCP server.
Match dbt Cloud runs by warehouse account, host or database
Monte Carlo now allows dbt Cloud integrations to match runs based on warehouse account, host, or database fields. This improves lineage and alert accuracy for environments where multiple connections share the same warehouse.
Monte Carlo's Terraform provider is now on the OpenTofu registry
Monte Carlo has published its Terraform provider and agent modules to the OpenTofu registry, enabling users to manage Monte Carlo infrastructure as code using OpenTofu.
Your agents’ end-user ratings, tied to the trace behind each answer
Monte Carlo now tracks end-user feedback for Snowflake Cortex and Databricks AI/BI Genie agents, displaying ratings and comments directly on traces.
Rate the issues Bayes finds through the Reinforcement Loop
Users can now provide feedback on issues identified by Bayes, Monte Carlo's AI agent. This allows users to ignore irrelevant issues and flag false positives, helping the agent improve its focus on actionable problems.
Agent summaries now show how conversations went, and every metric opens the records behind it
Monte Carlo's agent summary tab now includes conversation metrics such as duration, error rates, and token usage. Users can drill down from these metrics to view the underlying traces and conversations for improved observability.
REST API v2 (Public preview): onboard Monte Carlo from your AI tool, Terraform or a script
Monte Carlo's REST API v2 is now in public preview, enabling automated onboarding and deployment of collection agents via scripts, Terraform, or AI tools.
Scope domains to individual custom agents
Monte Carlo now supports scoping domains to specific custom code agents. This allows administrators to restrict user access to traces, conversations, and issues associated with particular agents.