An investigator for your data problems.

The Arcyria Agent looks at what actually ran, checks the data with read-only SQL, and shows you the evidence.

Arcyria Agent01 / 05

Answers that show their work.

Start from a failed run or a value that looks wrong. The agent reads the pipeline setup, run results and schema, names likely causes, checks them with read-only SQL, and shows you the SQL and the results.

Confirmed causes kept apart from possible ones
Read-only SQL you can check yourself
Changes wait for your approval
مساحة عمل /Run overview
⌘K
Run success rate97%4%
Active pipelines382%
Rows delivered (YTD)24.8M12%
Runs by status
159الإجمالي
1/2
Succeeded
Failed
Running
Runs by month
6040200
18
22
26
31
28
35
42
ينايرفبرايرمارسأبريلمايويونيويوليو
Overview
Preflight
Connections
Models
Delivery
Connections4Add connection
12 streams
PostgreSQL — prod_analyticsConnected · public.users, public.orders — incremental on updated_at
Healthy
6 streams
Snowflake — finance_whConnected · sales_opps.events — full table refresh weekly
Healthy
4 streams
HubSpot — gtm_workspaceOAuth refreshed · deals and companies streams enabled
Syncing
0 streams
ClickHouse — product_metricsTest connection passed — awaiting stream selection save
Draft
Connectors02 / 05

Connect the systems your team already uses.

PostgreSQL, MySQL, ClickHouse, MongoDB and more
Discover, preview, and save your table selections
Setup guides on docs.arcyria.com
Overview
Preflight
Connections
Models
Delivery
Checks3
إضافة مهمة
Ensure disk budgetRequired before claiming disk budget for this run.
Verify destination table existsinformation_schema.tables on warehouse.public
Match model columns to destinationModel output must match analytics.users columns.
Passed1
Confirm source objects existAll selected streams resolve on the source.
Runs & monitoring03 / 05

Schedule it. Watch every run.

Schedules and manual runs
Teams and workspaces by organization
Status, timing and outcome for every run
SQL modelsdim_users.sql
Deliver to: analytics.users
1SELECT
2 u.id,
3 u.email,
4 u.updated_at,
5 DATE_TRUNC('day', u.created_at) AS signup_day
6FROM staging.users_cleaned u
7WHERE u.email IS NOT NULL
id uuid
email text
updated_at timestamptz
Pipeline builder04 / 05

Build visually. Transform with SQL.

SQL models in the built-in editor
Preview a live sample before you publish
Publish revisions with history
Model outputDestination column
idمثال: user_id
Merge key
emailمثال: jordan@acme.com
email
updated_atمثال: 2026-03-09T18:22:11Z
updated_at
run_versionمثال: 42
_version
Safe delivery05 / 05

Upsert into tables that already exist.

Existing destination tables only
Incremental syncs with saved progress
No surprise tables in your destination

Try the Arcyria Agent on a real pipeline.

See where the time goes when a pipeline breaks. Questions? Email support@arcyria.com.

FAQ

Questions before you start

Answers about the Arcyria Agent, connectors, data delivery and getting started.

Arcyria is a data operations workspace. You can move data between your systems, transform it with SQL, monitor runs, and use the Arcyria Agent to investigate failed pipelines and unexpected data.