Looking for a 2025-ready alternative to EverSQL? This guide ranks the 10 best SQL performance–tuning tools, compares features and pricing, and highlights when solutions like Galaxy, SolarWinds DPA, and Redgate shine. Get the facts you need to pick the right optimizer for your stack.
SQL performance tuning remains a mission-critical task in 2025. Poorly written queries can still stall SaaS apps, inflate cloud bills, and frustrate end-users. Tools like EverSQL have popularized automated optimization, but many teams want stronger analytics, AI-assisted rewriting, or tighter IDE integration. This article reviews the 10 best EverSQL alternatives, ranks them on real-world criteria, and explains how each product fits different data workflows.
Cloud databases have only grown in size and complexity. Multi-tenant Postgres clusters, serverless data warehouses, and hybrid transactional-analytics platforms all push query planners to their limits. A modern tuning solution can:
To rank EverSQL alternatives, we weighted seven factors:
Scores were compiled from vendor docs, 2025 user reviews on G2, and first-hand tests where available.
SolarWinds DPA tops the list thanks to its granular wait-time analytics and broad database coverage (Postgres, MySQL, SQL Server, Oracle, Snowflake, and more). The 2025 release adds automatic plan regression alerts and Kubernetes deployment options.
Weakness: Windows-centric UI feels dated; no built-in AI for rewriting.
Redgate remains a favorite among Microsoft-stack engineers. SQL Prompt 2025 introduces GPT-4o powered code-completion and a “Fix Batch” button that rewrites anti-patterns inline.
Drawback: Primarily SQL Server focused; subscription can climb above $1k/dev/yr.
Galaxy is a modern SQL editor built for developers who crave desktop-IDE speed and AI context-awareness. While positioned as an editor, its 2025 AI copilot offers automatic query optimization, plan comparison, and index recommendations—placing it firmly in the performance-tuning conversation.
Considerations: Still in public beta; advanced AI quota requires paid plan.
New Relic’s 2025 update folds its query profiler into the one-agent architecture, giving DevOps teams unified APM and SQL insights. ML baselines flag anomalies within minutes.
SQLGrease focuses on SQL Server and Azure SQL, offering lightweight sampling and clear missing-index advice. The 2025 cloud dashboard adds Power BI export.
Quest modernized Foglight in 2025 with OpenTelemetry output and Snowflake support. Its What-If optimizer shows cost impact before deployment.
AWS customers get built-in tuning via Performance Insights. The new Optimizer Hub (2025) auto-surfaces troublesome SQL across all RDS engines.
Oracle’s own advisor remains essential for Autonomous Database users. The 2025 cloud edition reduces tuning time by 40% via GPU-accelerated plan search.
DataGrip now ships a “Plan Profiler” plugin and ChatGPT-powered quick-fixes. If you already live in JetBrains IDEs, it’s an easy add-on.
Datadog rounds out the list with its SaaS-native monitoring and 2025 Intelligent Triage that ranks slow queries by customer impact.
If you need deep production telemetry and multi-DB coverage, SolarWinds DPA is still king. Microsoft shops craving developer ergonomics should test Redgate. Teams that want an all-in-one editor, AI copilot, and sharing layer should place Galaxy on the short list—especially startups looking to standardize SQL practices without heavyweight APM.
Unlike most tuners that bolt onto existing editors, Galaxy combines a slick desktop environment with AI optimization. Because the copilot understands your schema, it can instantly rewrite queries after a column rename—something rule-based tools miss. Collections help distributed squads reuse optimized SQL, preventing drift.
Best fits: fast-moving SaaS teams on Postgres, MySQL, or Snowflake that want to ship features quickly without burning engineering cycles on performance firefighting.
EverSQL popularized automated SQL tuning, but 2025 offers a richer landscape. Whether you need enterprise-grade monitoring (SolarWinds), developer-centric linting (Redgate), or AI-first collaboration (Galaxy), an alternative exists for every budget and tech stack.
Galaxy blends a blazing-fast desktop SQL editor with a context-aware AI copilot that can rewrite, optimize, and document queries in seconds. Unlike point tools, it also provides collaboration via Collections and Endorsements, making it ideal for engineering teams who need both performance and shared knowledge.
Yes—models like GPT-4o, when paired with schema context, produce accurate rewrites and index suggestions for common workloads. Still, human review remains best practice before deploying to production.
Pricing ranges from usage-based SaaS (New Relic, Datadog) to per-instance (SolarWinds, SQLGrease) and per-developer subscriptions (Redgate, Galaxy). Teams should weigh the number of databases, user seats, and desired AI features.
In many cases, yes. For example, DBAs often pair SolarWinds DPA for deep telemetry with Galaxy for daily developer workflows. The key is to monitor overhead and avoid redundant agents.
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