Releasesby GlyphReduce CDN log costs with searchable archives
Route high-volume CDN logs to low-cost object storage with Observability Pipelines and search them with Archive Search, without a second tool.
Also shipped Jun 26, 2026Datadog in June 2026 →
SQL queries as logical tables in semantic views (General availability)
You can now use an SQL query (rather than a physical table) as a logical table in a semantic view. This lets you define logical tables based on joins, transformations, or any SQL expression without creating a separate view first.
Support for variables in semantic views (General availability)
You can now define variables in a semantic view to parameterize facts, dimensions, and metrics. Variables let you customize calculations at query time without changing the view definition. Define variables when you create a semantic view using the VARIABLES clause in the CREATE SEMANTIC VIEW command, or by adding a variables key in the YAML specification .
Microsoft Dynamics 365 connector (GA)
The managed Microsoft Dynamics 365 connector in Lakeflow Connect is now generally available. The connector allows you to ingest CRM and ERP data from Dynamics 365 into Databricks using Azure Synapse Link. See Microsoft Dynamics 365 connector .
Metric view parameters are now in Public Preview
You can now define parameters in metric views to bind values at query time, serving many query variants from a single definition instead of maintaining a separate metric view per variant. See Use parameters with metric views .
Databricks Runtime 19 (Beta): June 26, 2026
Behavioral changes Environment variable availability restricted in standard access mode : In standard access mode , only a predefined set of environment variables is available to the Spark engine and init scripts.
Previewing GPT-5.6 Sol: a next-generation model
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
More from DatadogEvery Datadog release →
Accelerate investigations with AI in Datadog Incident Response
Investigate incidents with Bits Investigation as a fellow responder, receive AI-generated summaries in chat, and capture critical decisions made on bridge calls.
Monitor watchOS and visionOS apps with Datadog RUM
Monitor crashes, errors, and user sessions on watchOS and visionOS by using Datadog RUM with fully deobfuscated stack traces and no separate SDK required.
Reduce SAST false positives with agentic evaluation and Bits Memories
Learn how Bits AI in Datadog Static Code Analysis uses repository-wide reasoning and custom context to help make security triage faster and more accurate.
Protect AWS Strands Agents with Datadog AI Guard
Monitor and help protect AWS Strands Agents by using Datadog AI Guard to evaluate prompts, model responses, and tool calls inline.
Monitor your .NET MAUI apps with Datadog RUM
Use the Datadog .NET MAUI SDK to monitor crashes, errors, ANR events, network performance, and user sessions across iOS and Android apps.
Answer any cost question faster with the Cloud Cost skill in Bits Chat
Use the Cloud Cost skill in Bits Chat to investigate cost anomalies, perform root cause analysis on cost spikes, and get personalized savings.
Provision Datadog on Stripe Projects
Learn how to provision Datadog on Stripe Projects, start a 14-day free trial, and manage billing through your existing Stripe account.
Prioritize security findings with the Datadog Runtime Prioritization Engine
Learn how the Datadog Runtime Prioritization Engine infers ownership and identifies business-critical resources to help you prioritize security findings.