Actionist·QuestDB
QuestDB

QuestDB

· #260 most-used

Query, ingest, and act on time-series data at any scale

DatabaseAnalyticsDeveloperCloud & InfrastructureMonitoring & Alerts

QuestDB is the fastest open-source time-series database, built from scratch in zero-GC Java with a built-in SQL optimizer that lets teams query billions of rows in milliseconds. Connect it to Actionist and your agents can execute analytical SQL queries, ingest telemetry or event data row by row, export results to CSV or Parquet, manage table partitions, and monitor table health on a schedule — turning a database that rarely gets human-visible tooling into an automated, always-current data layer for every department.

Try QuestDB with ActionistVisit QuestDB
Average time saved
10 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents eliminate the manual cycle of writing ad-hoc SQL, exporting CSVs, cleaning partitions, and hand-building threshold alerts that data and ops teams repeat every week.

Schedule

What your QuestDB agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

QuestDB × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
9Apps spanned
~16 hrsSaved / week
6Personas served
For operations
Featured5 apps

Nightly pipeline health gate with auto-pause

Before any pipeline stage runs, the Operations Agent calls Check Database Health on all QuestDB instances. Any instance below the health threshold triggers a PagerDuty alert and holds all downstream agent tasks until the database is confirmed ready — preventing partial writes to an unstable database and the data-consistency incidents that follow.

~5 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When the nightly data pipeline schedule fires at midnight
Trigger
Step 1
Google Calendar
Detect nightly pipeline scheduled event
read
Step 2
QuestDB
Check Database Health on all QuestDB instances
write
Step 3
Slack
Post health-check results to #data-ops channel
write
Step 4
Notion
Log health-check run result to the ops audit table
write
Step 5
GitHub
Trigger downstream pipeline workflow if all instances are healthy
Result
Post health-check results to #data-ops channelLog health-check run result to the ops audit tableTrigger downstream pipeline workflow if all instances are healthy
The win
Saved per run
45 min
Runs / week
~7×
Zero pipeline runs on a degraded database
Driven byOperations Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    45 min / week
    Manual pipeline data pulls each Monday

    Sales ops exports deal data from HubSpot, pastes it into a spreadsheet, and manually runs calculations to get velocity and forecast numbers — a 45-minute process every Monday morning.

    Sales Agent
    0 min
    Agent queries QuestDB and posts results before standup

    Every Monday at 7:30 AM the Sales Agent runs an aggregate query against the deal_events time-series table and posts the ranked results to Slack before the first rep opens their laptop.

  • Marketing
    30 min / week
    Manual attribution export and blending

    The marketing analyst manually exports campaign events from the database, downloads the CSV, uploads it to Google Sheets, and writes formulas to blend it with ad spend — a 30-minute mid-week ritual.

    Marketing Agent
    0 min
    Agent exports and blends attribution data automatically

    Every Wednesday the Marketing Agent exports attribution events from QuestDB to CSV and uploads them to the shared folder, so blended CPA is available before the spend review with no manual steps.

  • Customer Support
    30 min / week
    Manual incident data assembly for post-mortems

    After each incident, a support engineer manually queries the database for the relevant event window, exports the data, and pastes it into the post-mortem doc — roughly 30 minutes per incident.

    Customer Support Agent
    0 min
    Agent assembles incident data within about a minute

    When an incident is closed, the Customer Support Agent queries QuestDB for the event window, exports the CSV, and attaches it to the post-mortem document — the data is there before the team writes the first sentence.

  • Human Resources
    20 min / week
    Manual headcount tracking in spreadsheets

    HR copies headcount numbers from the HRIS into a spreadsheet each week, manually calculating attrition and trend — a 20-minute task that often slips due to competing priorities.

    Human Resources Agent
    0 min
    Agent inserts headcount snapshots and runs trend queries automatically

    Every Monday the HR Agent inserts a headcount snapshot into QuestDB; every Wednesday it runs an attrition rate query and posts results to the HR Notion report with no manual effort.

  • Finance
    60 min / week
    Manual revenue aggregation and export every Monday

    Finance manually queries the revenue database, waits for the export to download, reformats the CSV, and pastes the numbers into the board model — a 60-minute process every Monday morning.

    Finance Agent
    0 min
    Agent aggregates and delivers revenue data before the meeting

    Every Monday at 7:30 AM the Finance Agent runs the weekly revenue aggregate query and writes the results directly to the finance model — board-ready numbers available before the revenue review starts.

  • Operations
    60 min / week
    Manual partition cleanup and schema maintenance

    The ops team runs ad-hoc DROP PARTITION commands manually, checks storage after the fact, and maintains a separate schema document that drifts from the live database within days.

    Operations Agent
    0 min
    Agent enforces retention and keeps schema docs in sync

    Every Wednesday night the Operations Agent drops out-of-retention partitions automatically; every Tuesday morning it syncs the live schema to the Notion data dictionary — zero manual DBA tasks.

  • Legal
    45 min / week
    Manual GDPR deletion and compliance export

    The legal team manually identifies partitions to delete, runs DROP PARTITION commands in the database console, copies confirmations into a spreadsheet, and exports audit data each week — roughly 45 minutes per deletion cycle.

    Legal Agent
    0 min
    Agent completes GDPR deletion with full audit trail automatically

    When a GDPR request is confirmed, the Legal Agent identifies the partitions, drops them, inserts a compliance_audit row, and sends an erasure confirmation — the full cycle completes in under 5 minutes with no manual database access.

+ 100s of other QuestDB automations
Average time saved
29 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
13
Hours saved / year
625
Annual ROI
$46,875

Based on QuestDB's typical team usage — the visible tasks plus a few other automations the agent runs: ~2.5 hrs / person / week of admin work automated.

Connect

How to plug QuestDB into Actionist

Pick the connection method that suits your environment.

QuestDB's REST API supports HTTP Basic Authentication (username + password) or a Bearer Token for Enterprise deployments with RBAC. Paste your credentials and the agent connects to your QuestDB instance over HTTPS.

1
Find your QuestDB host URL

Your QuestDB REST API runs on port 9000 by default. For QuestDB Cloud, find the connection URL in your cloud console under Connection Details.

2
Set up credentials

For open-source QuestDB with auth enabled, use your admin username and password. For Enterprise, generate a Bearer Token via the ACL system. If your instance has no auth, leave the credential fields blank.

3
Paste into Actionist and test

Enter the host URL and credentials below, then click Test connection. Actionist runs a lightweight /exec ping query to confirm the handshake.

Credentials you'll need
Host URL*
Base URL of your QuestDB instance, e.g. https://your-questdb.example.com:9000
Username
QuestDB username (leave blank if auth is disabled on your instance)
Password
QuestDB password or Bearer Token for Enterprise RBAC
Actions

15 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about QuestDB + Actionist

How does Actionist connect to QuestDB?
Go to the Apps tab, find QuestDB, and click Connect. Enter your QuestDB instance's host URL (including port — typically 9000), and optionally a username and password if your instance has authentication enabled. For QuestDB Enterprise with RBAC, use a Bearer Token in the password field instead. Actionist runs a lightweight /exec ping query to confirm the connection before any actions run.
Does Actionist work with QuestDB Cloud as well as self-hosted instances?
Yes. Actionist connects to any QuestDB instance that exposes its REST API over HTTPS — including QuestDB Cloud, self-hosted deployments on any cloud provider, and on-premises installations. For QuestDB Cloud, find the connection URL in your cloud console under Connection Details. For self-hosted instances, ensure port 9000 is reachable from the Actionist network, or use a secure tunnel if the instance sits on a private network.
What SQL operations can the agent run against QuestDB?
Agents can run any SQL statement that QuestDB's /exec endpoint accepts — SELECT queries, INSERT statements, CREATE TABLE, ALTER TABLE, DROP PARTITION, TRUNCATE, RENAME TABLE, and system queries like SHOW TABLES and SHOW COLUMNS. For data export the agent uses the /exp endpoint to stream results as CSV or Parquet. For bulk CSV ingestion it uses the /imp endpoint. Essentially any operation you would run manually in the QuestDB web console is available to the agent.
Can Actionist enforce data retention policies in QuestDB automatically?
Yes — automated partition-based retention is one of the most common QuestDB agent tasks. The Operations or Legal Agent retrieves the partition list for each retention-managed table, compares the oldest partition boundary against the policy window, and executes DROP PARTITION for any out-of-retention partitions. The run is logged to an audit table so compliance teams have an evidence chain. You can schedule this as a weekly or nightly agent task and it runs in the overnight window without impacting daytime query performance.
How does QuestDB's time-series model affect what the agent can do?
QuestDB is purpose-built for time-series data: every table has a designated timestamp column, data is partitioned by time (hour, day, month, or year), and queries use SQL with time-series extensions like SAMPLE BY, LATEST ON, and ASOF JOIN. Agents take full advantage of this — they can run SAMPLE BY queries to aggregate metrics into time buckets, use LATEST ON to retrieve the most recent row per entity, and target DROP PARTITION operations precisely at expired time windows. The partition-aware design means retention management is a single SQL statement rather than a row-by-row delete.
Does QuestDB have native triggers or webhooks that Actionist can listen to?
QuestDB does not expose native webhooks or change-data-capture events in its current open-source release. Actionist works around this using scheduled agent tasks that poll QuestDB on a cadence — for example, running an Execute SQL Query every hour and comparing results against a threshold. If a value crosses the threshold, the agent fires downstream actions in connected apps. For event-driven patterns, pair QuestDB with an upstream event source such as an application-level event bus, and have the agent write to QuestDB as part of the resulting workflow.
What is the best way to ingest data from other apps into QuestDB through Actionist?
The two most common patterns are: (1) event-driven inserts — when something happens in a connected app (a deal closes, a deployment completes, a support ticket resolves), the agent calls Insert Rows to write a timestamped record into QuestDB; and (2) batch CSV imports — the agent picks up a CSV file from Google Drive or an email attachment and calls Import CSV Data to stream it into the target table with automatic schema detection. For high-throughput telemetry from devices or services, consider pairing Actionist with QuestDB's InfluxDB Line Protocol listener on port 9009, which is designed for high-volume time-series writes outside the REST API.
How does Actionist handle QuestDB authentication for Enterprise deployments?
QuestDB Enterprise supports Role-Based Access Control (RBAC) with service accounts and Bearer Tokens. To connect Actionist to a QuestDB Enterprise instance, create a dedicated service account in the QuestDB ACL system with the minimum permissions the agent needs (read access for query actions, write access for insert and DDL actions), generate a Bearer Token for that account, and paste it into the Password field when setting up the connection in Actionist. This ensures the agent operates under a least-privilege identity and all its actions are attributable to the service account in QuestDB's audit log.