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FOR DBA TEAMS

Explain every slowdown, with evidence.

DB time breakdown, plan and index analysis, object dependencies and backup visibility — on one platform.

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DB Time and query analysis screen

The problems it solves

Which query is spending database time?

Performance →

Which index is missing, and what would it change?

Query intelligence →

Nobody knows which queries depend on a table before it changes.

Dependency graph →

The features that do it

PERFORMANCE

Wait events & query performance

Sample active sessions every 5–15s (1s on demand) and see which query, user or host is spending database time — drill in with one click.

  • DB time by query, wait, database, user, program, host
  • 30 days of detail, 400 days of hourly DB time
1s
on-demand sampling
30d
detail
400d
hourly DB time
On the features page →
AI

AI-driven query optimization

Catching slow queries isn't enough — ClusterEye explains them automatically, analyzes plans, and produces index suggestions — validated with HypoPG on PostgreSQL.

  • EXPLAIN plan visualization + cost analysis
  • Index and statistics suggestions (PostgreSQL, MongoDB, MSSQL)
  • Pattern-based aggregation via query fingerprints
EXPLAIN
plan analysis
HypoPG
index validation
AI
advisor
On the features page →
GRAPH

What breaks if I touch this table?

The Database Context Graph continuously maps the tracked statements to the objects they touch. Open a table and you see the queries that read and write it, each one's load over the last 24 hours and how it reaches the data — a seek or a full scan — so "who still uses this?" is answered before a schema change, not guessed. It reads the other way too: from a statement down to the tables, indexes and plans it depends on.

  • Object impact: "Dropping this table affects 10 queries — 4 write to it", as a diagram or a table
  • Honest edges: reads and writes are separated, and an edge says whether it came from an execution plan or was inferred from the query text; historical dependencies are marked as such
  • Query to object: a statement's waits, plans, the tables it touches and its neighbouring statements, in one drawer
  • PostgreSQL, SQL Server, Oracle, MySQL, ClickHouse and MongoDB
  • A "what the graph can't know" section names what is missing: untracked statements, and code that has not run yet
6
engines
24h
load window
plan vs text
edge source
On the features page →
BACKUP

Backup visibility and restore drills

See backup history for SQL Server, Oracle RMAN and PostgreSQL WAL archiving; on Fleet-managed PostgreSQL, scheduled restore drills prove the backup restores.

  • Scheduled restore drills to a separate host (PostgreSQL/pgBackRest)
  • Point-in-time restore for Fleet PostgreSQL
  • MSSQL, Oracle RMAN and WAL archive health
PITR
restore
drill
scheduled
pgBackRest
+ XtraBackup
On the features page →

See it in your team's environment.

A demo with your engines and your questions.

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