Redgate monitors your database in isolation. Atatus connects every slow query to the exact application transaction, API endpoint, and user session that triggered it — with AI-powered anomaly detection that catches performance regressions before your users do.
Redgate SQL Monitor gives DBAs deep visibility into SQL Server internals — wait stats, blocking chains, index fragmentation, and execution plans. But when developers need to understand which API call triggered the slow query, which user was affected, and what the frontend impact was, Redgate stops short. Atatus connects all of those dots in one platform, with AI that proactively surfaces regressions before they become incidents.
Atatus uses machine learning to baseline your query execution times and automatically alerts when a specific query degrades beyond its normal range — across MySQL, PostgreSQL, Oracle, MongoDB, and more. No manual threshold configuration needed per query.
Atatus captures the full distributed trace for every request. When a query is slow, you see exactly which endpoint called it, which function in your code triggered it, and which user session experienced the delay — all in one timeline. Redgate shows you the query; Atatus shows you why it was called.
Atatus monitors SQL and NoSQL databases across your entire stack — MySQL, PostgreSQL, Oracle, MongoDB, Redis, and more — without requiring separate tooling per engine. Redgate's deep tooling is purpose-built for SQL Server and requires additional products for other database types.
Here is where Atatus goes further than Redgate for development teams who need application context alongside database performance data.
When a SELECT takes 4 seconds, Atatus shows you the full call stack: which controller method, which service layer, and which user-facing endpoint triggered it. Redgate shows you the query and its wait stats but has no visibility into the application code that called it.
Atatus baselines your query execution times per endpoint and automatically flags when a deployment causes a regression — even a subtle one that doubles query time from 50ms to 100ms. No manual alert thresholds to configure per query or per table.
Atatus links database performance directly to real user sessions. When a particular query slows down, you see exactly how many users experienced the delay, which pages were affected, and what the frontend performance impact was — in one view.
Atatus covers your full database layer regardless of engine. PostgreSQL schema and settings monitoring, Oracle database observability, and NoSQL query tracking are all available in one platform. Redgate requires separate products for databases beyond SQL Server.
When a query times out, Atatus lets you pivot directly from the slow query trace to the relevant application log lines — without switching tools. Understanding whether the query timeout was caused by a lock, a missing index, or a spike in connection pool exhaustion becomes a single workflow.
Redgate is designed for DBAs managing SQL Server environments. Atatus is designed for the full engineering team — developers, SREs, and product teams — giving everyone shared visibility into database health alongside application and user experience data, on a publicly listed, predictable pricing model.
A technical breakdown of how the two platforms compare across database monitoring, application context, and full-stack observability.
AI-powered anomaly detection — ML baselines query execution times and flags regressions automatically across all monitored databases
Slow query tracing with application context — every slow query linked to the endpoint, function, and user session that triggered it
Multi-engine database monitoring — MySQL, PostgreSQL, Oracle, MongoDB, Redis, and more in one platform
Full-stack APM — distributed tracing from browser to database across Node.js, Python, Ruby, Java, .NET, PHP, Go
Real User Monitoring — connect database latency to actual user session impact with Core Web Vitals and session detail
Log management — correlate database errors and application logs in a single unified timeline
PostgreSQL and MySQL schema monitoring — track schema changes and configuration drift that cause performance regressions
Transparent public pricing — plans listed on the website with no sales call required
Alert-based monitoring — threshold-based alerts for query duration and wait stats; no ML-based anomaly detection for query regressions
No application context — shows query performance inside SQL Server but has no visibility into the application code or endpoint that called the query
SQL Server focused — deep tooling for SQL Server; other databases require separate Redgate products like Flyway or additional third-party tools
No APM — Redgate does not instrument application code or produce distributed traces
No Real User Monitoring — frontend performance and user session data are entirely outside Redgate's scope
No log management — application log correlation with database events is not a Redgate capability
Schema comparison and deployment — SQL Compare and SQL Change Automation provide strong schema diff and migration tooling for SQL Server
Per-instance pricing — pricing based on monitored SQL Server instances; can scale significantly for larger environments
“We were using Redgate to watch our SQL Server queries and it showed us which queries were slow. But we had no idea which part of our application was calling them or why. Atatus gave us the full picture in one place — the query, the endpoint, the user session — and the AI caught a regression we would have missed entirely after a release.”
What teams evaluating Redgate and Atatus together most commonly want to know.
Redgate SQL Monitor has deep SQL Server-specific tooling that includes wait statistics, blocking chain analysis, execution plan history, and index health tracking, capabilities built specifically for DBAs managing SQL Server environments. Atatus focuses on slow query detection, query-to-transaction linkage, and AI-based anomaly detection across multiple database engines. If your team is a SQL Server-centric DBA team that needs wait stat breakdowns and execution plan diffs, Redgate goes deeper at that layer. If your team needs to understand how database performance connects to application behavior and user experience, Atatus is built for that.
Atatus monitors MySQL, PostgreSQL, Oracle, MongoDB, Redis, Cassandra, and other SQL and NoSQL databases through its APM agents. PostgreSQL and MySQL also have dedicated schema and settings monitoring to track configuration drift and structural changes that cause performance regressions. All database monitoring data is unified in the same platform as APM, RUM, and log data.
Atatus establishes a performance baseline for each query pattern per endpoint over time. When a query begins executing significantly slower than its established baseline for example after a deployment or a data volume increase. Atatus fires an alert automatically without requiring you to configure individual thresholds per query. This means regressions are caught even when they are subtle, such as a query that goes from 40ms to 120ms, rather than only firing when a hard threshold like 5 seconds is breached.
No. Atatus agents instrument your application at the framework and runtime level, capturing all database calls automatically without requiring you to add instrumentation to individual queries or stored procedures. You install the agent for your language including Node.js, Python, Java, Ruby, .NET, PHP, or Go and database monitoring begins immediately as part of the APM data collection.
Yes. Atatus installs independently of any existing monitoring stack. Most teams instrument their applications and start seeing query traces within minutes of installation. Running Atatus alongside Redgate during evaluation is straightforward, our team can help you map which Redgate alerts have equivalent Atatus coverage so you can make a confident decision before switching.
Yes. Atatus holds SOC 2 Type II certification, is GDPR compliant, and meets ISO 27001 standards. All data is encrypted in transit and at rest. Data residency options are available on Enterprise plans. Full security documentation is available on request for your compliance and procurement review process.
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