Query · Investigate · Observe · Change · Verify· in one workbench

A new way to work with
production databases.

Quorum removes the gap between the SQL client, the monitoring dashboard, the issue tracker and the AI assistant. One workbench that keeps the whole context — from the first symptom to the verified fix.

macOS · Windows · Linux · SQL Server, PostgreSQL, MySQL, MongoDB and more
Quorum — warehouse-prod● live · p95 climbs · 12 writes waiting
Performance — waits & workloadlast 60 min
p95 latency
540ms
▲ from 84 ms
wait time
62%
LCK_M_U
blocked
12
1 root blocker
fingerprintp95Δwait
GetOrdersByCustomer540 ms+543 %PAGEIOLATCH
ReportingSync.Pull1.2 s−4 %CXPACKET
UpdateOrderStatus9 ms+2 %—
Action Center3 open
Alerts & notifications1 criticalgrouped · cooldown 10 m
Session 51 blocking 14 queries on dbo.Orders
8m 24s · 3 checkout writes waiting
Investigate
checkout-write p95 regressed 6.4×
plan flipped to seq scan · 90 min
Analyze plan
Missing index orders(status, created_at)
39,210 scans today · 23× read benefit
Review
Observe · Explain · Review & run · Verify
One workbench · every engine you run
SSQL ServerPPostgreSQLMMySQLMMariaDB◉MongoDBSSQLite❄SnowflakeBBigQueryDDuckDB
◆ Connected, not stitched

Not another database client.

Traditional clients give you a tree, an editor and a grid — then leave the rest to memory, scripts and a ticket to the DBA. Quorum compresses the whole workflow into one place and keeps its context.

01

One context

The service, environment, time window and business key travel with you. Nothing is re-entered at each step.

02

Evidence first

Every conclusion opens its evidence. Observed facts are kept apart from likely explanations — by the tool and by the AI.

03

You stay in control

Every change is reviewed in full and run by you. Assistants propose; they never execute. PII and PHI stay masked on every path — grid, exports, prompts and MCP alike.

Without Quorum

  • Find where the data lives by tree-navigating and guessing
  • Switch to Datadog or Grafana to see what is slow
  • Paste the query into a chat window and hope
  • Page the DBA to kill a blocker or add an index
  • Reconstruct the incident later for the ticket

With Quorum

  • Ask where a value is stored and open its records
  • See waits, blocking and plans inside the workbench
  • Get an evidence-linked answer and one next check
  • Review the exact change and run it yourself, audited
  • Publish the evidence summary to Jira in one click
◉ One incident, start to finish

From the first alert to a verified fix.
Without leaving the window.

Scroll through a single slowdown — from the first alert to a verified outcome. Illustrative, with synthetic data.

01 · Start

An alert arrives with its context.

Service, environment and time window come with it. Nothing is retyped.

Last9 and Datadog alerts open straight into the workbench.
02 · Understand

Most requests are waiting, not computing.

The incident view ranks activity by impact and draws the wait chain with the root blocker identified.

Two events happening together do not prove one caused the other.
03 · Explain

Facts on one side, suspicion on the other.

The assistant gathers bounded, read-only evidence and recommends one next check — with sources.

Missing evidence is not permission to invent a root cause.
04 · Review & run

The exact change, on the exact target.

Statement, values, side effects and rollback cost before you run it. Same person, no approval queue.

Self-confirmation prevents mistakes; it does not create privileges.
05 · Verify

Improved — with the caveat recorded.

The same checks, twelve minutes later, with real traffic. Saved as a runbook for next time.

A successful SQL response is not proof the business problem is solved.
Action Center3 open
Alerts & notifications1 criticalgrouped · cooldown 10 m
Session 51 blocking 14 queries on dbo.Orders
8m 24s · 3 checkout writes waiting
Investigate
checkout-write p95 regressed 6.4×
plan flipped to seq scan · 90 min
Analyze plan
Missing index orders(status, created_at)
39,210 scans today · 23× read benefit
Review
orders-api · prod-euOrdersDB · SQL Server 202221 Oct · 14:02 – 14:40 UTC
Your turn

It's 2:14 AM.
Checkout is timing out.

You're on call. Make the calls below; every wrong move costs minutes. About five minutes, no sign-up, made-up data.

Checkout is timing outSQL Server
Clock2:14 AM
sessions waiting9
Mistakes0
Server overviewlast 15 min
MetricNowNormal
CPU18%15–25%
Batch requests / s3101,900
Top waitLCK_M_USOS_SCHEDULER_YIELD
Checkout p951,420 ms84 ms
Step 1 of 4

The page

Checkout p95 is 1.4 s and climbing; the payment service is returning timeouts. The database server's CPU is at 18%. Where do you start?

Two more incidents, including an AI agent's risky UPDATE: open the incident simulator.

◆ Simple, yet powerful

Everything you reach for during database work.
None of the tool-switching.

Every area of database work, in one application. Pick one.

/* write and run SQL without fighting the editor */

A fast, dialect-aware editor that always knows its target.

Multi-tab editing with completion drawn from the live connection, in the dialect it speaks. Nothing is silently rewritten.

  • Completion from this connectionAliases, joins and CTEs resolved against the real schema — never an object from another database.
  • Target printed beside RunDatabase, environment and read/write intent in words and icons. Tab switching never swaps a running request's target.
  • Streaming results that stay responsiveFirst rows fast, Stop always works, partial sets are labelled partial. Exports stream to a file.
  • Compare results by keyAdded, removed and changed values. NULL is not an empty string; decimals keep precision.
Query Studio — warehouse-prod⌘⏎ run selection
OrdersDBprodreadsql-prod-eu-01Run
-- completion from this connection only
SELECT o.OrderId, o.Status, o.CreatedAt,
       c.Email
FROM dbo.Orders o
JOIN dbo.Customers c ON c.Id = o.CustomerId
WHERE o.CreatedAt > DATEADD(hour, -1, GETUTCDATE())
ORDER BY o.CreatedAt DESC;
OrderIdStatusCreatedAtEmail
48220READY14:11:30a•••@example.com
48217PENDING14:09:50m•••@example.com
48214PENDING14:08:02j•••@example.com
3 rows · complete38 ms db · 12 ms renderprimaryPII masked
Cell inspector & JSON viewParameters & snippetsTransaction state visibleReplica / primary indicatorKeyboard everythingFormatting per dialect
◇ Continuity

You focus on the problem. Quorum keeps the rest.

Workspaces that survive

Restart or crash: unsaved SQL, tabs, connections and notes come back. Production tabs reopen paused. Nothing re-runs.

Keyboard-first

Command palette, shortcuts you already know, adjustable density, light and dark themes.

History you can search

Every query, change and outcome, linked to its verification and recovery.

Large results without a frozen app

Stream a million rows to a file while you work in another tab. Database time separated from render time.

Connections that explain failures

Guided checks for network, certificate, login and access. Secret stores supported; no credentials in logs.

A sample database to learn on

Practise a risky update, an investigation and a review on sample data before touching production.

Last9Traces for the same window, from a slow statement.
DatadogService latency and errors beside database waits.
JiraIssue context in; evidence summary and RCA draft out, on publish.
MCPYour connections as tools for Claude, OpenAI, Cursor or your own agent — with the review gate.

Extend Quorum with plugins: new result views, exporters, chart types, snippet packs and themes. Plugins see only the rows you open them on. See the plugins

◇ Multi-database

One workbench for every database you run.

The same editor, the same safety path and the same investigation workflow across relational, document and warehouse engines. Each connection shows a capability card: what is supported, limited or untested on that engine.

SQL Server2017 – 2022 · AzurePostgreSQL9.6 – 16MySQL5.7 – 8MariaDB10 +MongoDB4.4 – 7SQLitelocalSnowflakewarehouseBigQuerywarehouseDuckDBanalytical
◆ Editions

One workbench. Two operating models.

Individual wins preference. Enterprise earns trust. Both keep the same safety; Enterprise adds management and assurance around the same core.

Individual

You review and run your own changes.

Your connections, your database permissions, your judgement.

  • Complete local workbench — AI, Jira and monitoring optional
  • No company sign-in, no mandatory ticket
  • Personal history, local investigations, deliberate sharing
  • Signed installers, updates, recovery that never replays a write
Enterprise

The company can trust how it is done.

The same experience, within rules the company sets and can prove.

  • Company identity, scoped roles, revocation that stops protected actions
  • Rules enforced centrally — editor, grid, AI, MCP, CLI and jobs share one route
  • Approved AI providers and data destinations, redaction, budgets
  • Central records with retention, private deployment, accountable support

Clear targets, review, a trustworthy Stop, masking and honest outcomes are in both editions. Enterprise sells management, not permission to skip them.

◆ Access

Try Quorum free, or ask us anything.

Request a free 14-day trial and we will email you to set it up. No payment details needed. Tell us about your databases and what you are trying to finish, or send us a question. Individuals are welcome with a personal email. Teams can start an Enterprise conversation from the same form.

macOS · Windows · Linux · free 14-day trial · from $12/month

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