Amazon Redshift + Querri
Operations, finance and customer teams ask the warehouse in plain words and get answers that use your definitions. Querri copies the Redshift tables you pick on a schedule, so their questions don't add to the queue on your cluster.
Querri only ever reads from Redshift and never changes a table or a row. Your database password is stored encrypted. Certified for SOC 2 Type II, HIPAA and ISO 27001:2022.
Why Amazon Redshift reporting gets hard
AWS teams put Redshift at the center for good reasons. The slowdowns show up around it: who can write the query, which queue it lands in, what it costs to look, and where the result ends up.
Query editor v2 is a SQL editor, and the tables are named for the pipelines that load them. A store manager's question becomes a request, and the request joins a backlog the data team already can't clear.
Queries wait for a free WLM slot. With manual WLM, all user queues together get at most 50 slots, and the default queue runs five at a time. One curious analyst can slow the morning load.
Redshift Serverless bills compute per second with a 60-second minimum, and a cancelled query is still billed for the time it ran. On a provisioned cluster, more people exploring means sizing up or paying for concurrency scaling.
Net revenue, an active customer, a late order: the definitions sit in dbt models, the BI layer or an analyst's head. The ops team's spreadsheet uses a slightly different version and nobody notices.
Query editor v2 caps a downloaded result at 5 MB, so bigger pulls go through UNLOAD to S3 or get split by hand. Once the file is in Excel, it never refreshes again.
What you can finally answer
Each one comes from teams running on AWS: what they ask, why it stalls on Redshift today, and how Querri handles it.
Why it's hard
The answer is a join across order, shipment and warehouse tables whose names only the pipeline author remembers. Ops waits days for something that takes an analyst ten minutes.
Why it's hard
Each SQL author handles returns and partial refunds a little differently. Finance, ops and the board deck end up with three net revenue figures that all came from Redshift.
With Querri
State the rule once in Facts & rules and track net revenue as a KPI. Chat, dashboards and scheduled reports all apply the same definition from then on.
Why it's hard
Order lines land in the warehouse from the app; invoices live in the ERP. Reconciling them is a monthly export, a lookup on order numbers and a long list of exceptions.
With Querri
Connect NetSuite beside Redshift and Querri matches orders to invoices, saying which field it matched on. The orders with no invoice come back as a list, not a total.
Why it's hard
Usage events sit in Redshift and conversations sit in the support tool. A health score that uses both usually means a CS platform purchase or a side project nobody finishes.
With Querri
Bring Intercom into the same Library and build the score once. The customer health score playbook shows the steps.
Why it's hard
Return data is in Redshift by morning, but nobody runs a query against every category every day. A spike gets noticed when the refund total shows up in the monthly close.
With Querri
Nightly monitors compare each category with its own history using plain arithmetic. A category that breaks from its pattern shows up in your Inbox by morning, and no finding acts on anything until you say so.
Why it's hard
Someone runs the query, filters it per region, pastes it into a template and fixes the formatting. When that person is out, the Monday files don't go.
With Querri
Set the report up once as a project. A schedule reruns it after the sync and sends each manager a formatted workbook with only their region. See reports and automation.
Why it's hard
Campaign touches live in HubSpot and repeat orders live in Redshift. Attribution stops at the first purchase because joining the two is nobody's job.
With Querri
Connect HubSpot and Querri follows contacts from campaign to their later orders, noting matches that could be wrong. The channel to revenue playbook has the steps for repeat-order attribution.
Why it's hard
An assistant pointed straight at the cluster guesses what each column means and writes its own SQL. Each prompt can land on a different definition.
With Querri
Add Querri to Claude or ChatGPT and your synced Redshift tables come along. It works from the Library's definitions and stays inside the rows each person is allowed in Querri, so a late rate asked in Claude is the late rate on the ops board.
Amazon Redshift plus the rest
Redshift has the orders, events and usage your pipelines load. Contracts, invoices, campaigns and support conversations often stay in their own systems. Querri keeps them side by side in one Library, so a cross-system question doesn't wait on another pipeline.
Amazon Redshift pairs well with
Answers you can stand behind
"Revenue in September" can count orders placed in September or orders shipped in September. Warehouse tables carry both dates, both are reasonable, and the totals differ. Querri answers with one, names it, and puts the other total beside it, so the ops review and the finance review argue about the business instead of the date column. See how answers work.
Wake up to what changed
After the overnight sync, Querri checks each KPI against its own track record and looks for movement nobody asked about. Findings wait in your Inbox, and none of them changes anything until you approve it.
Custom Amazon Redshift dashboards
Say what the ops board should show, or hand Querri a screenshot of the one on the warehouse floor TV. People change it by typing what they want different, its charts draw on the Library that chat uses, and a regional lead can be limited to their region's rows.
Reports you can stop pulling by hand
Orders, fulfillment and returns for the week, rerun on fresh data and emailed before Monday's meeting.
See reportsLate rate per site and carrier, using your own definition of late.
See dashboardsOne formatted Excel file per region, holding only that region's rows.
See Excel toolsUsage from Redshift, tickets and billing rolled into one score per account.
Read the playbookWhich campaigns bring customers whose orders keep coming.
Read the playbookSupport conversations tied to the orders and product areas behind them.
Read the playbookWhat comes over
Querri copies the tables and views you choose from one Redshift database and schema into its own storage, then answers from that copy rather than querying Redshift live. It can only read what the database user you connect with is allowed to see.
What you can sync
Full refresh by default. Choose a column such as updated_at and incremental syncs pull only newer rows, as often as hourly. A full refresh also drops rows deleted in Redshift.
Rows stream straight into Parquet, never held in memory all at once. For tables with tens of millions of rows, a chunked mode reads 100,000 rows at a time and resumes where a failed sync stopped.
Querri runs only SELECT and cursor reads, plus one session setting for case-sensitive names. It never creates, changes or deletes a table or a row.
You connect with a database username and password, stored encrypted. SSL is on by default, and a cluster on a private network can be reached through an OpenVPN tunnel.
How to connect Amazon Redshift
Open Connect and say "connect our Redshift," or pick Amazon Redshift from the catalog.
Add the cluster host, port (5439 by default), database and schema. SSL stays on unless you turn it off.
Enter the username and password; the password is stored encrypted. A cluster on a private network can connect through an OpenVPN tunnel.
Take every table in the schema or choose a few, set how each one syncs, and pick a schedule. Nothing loads until you approve.
When the first sync finishes, your Redshift tables are in the Library, ready for chat, dashboards and scheduled reports.
Amazon Redshift FAQ
Ask the Connector Agent to connect Redshift, or pick it from the catalog. Enter the cluster host, port (5439 by default), database, schema and a database username and password. Then choose all tables or a few, set a schedule and approve. No data moves until you approve the load.
Tables and views from the database and schema you pick, either all of them or a set you choose in the table picker. Redshift's system databases and schemas are hidden. Querri can only sync what the database user you connect with is allowed to read.
A full refresh can be set to daily, weekly or monthly. Tables with a reliable change column, updated_at by default, can sync incrementally every hour, day or week, fetching only rows past the previous high-water mark. A manual sync is there for the day a report can't wait.
No. Querri only reads your data; it never changes your records. It runs SELECT and cursor reads plus one session setting that makes table and column names case-sensitive for that connection. It never creates, updates or deletes a table or a row in Redshift.
No. Querri answers from its own copy of the tables you picked, refreshed on your schedule. Only syncs run queries on your cluster, so you can schedule them for quiet hours. Answers are as fresh as the last sync.
Querri can read only what the connected database user is granted, so give that user the schemas and tables you want in Querri. Redshift grants don't follow individual people into Querri; there, Querri's own sharing and a per-person row filter decide who sees what, in chat, dashboards, Claude and the API alike.
Connect Salesforce next to Redshift and both land in the same Library. Querri matches warehouse accounts to Salesforce accounts, best on an account ID stored in both, and says how it matched. Then you can ask about usage against contracts, renewals or open deals in one question.
Connect NetSuite beside Redshift. Querri lines up warehouse orders with NetSuite invoices on order number or customer and reports which field it used. Orders with no invoice, or invoices with no order, come back as a list you can work through.
Sync your order and shipment tables, then tell Querri once what late means, for example shipped after the promised date. Ask for late rate by fulfillment center or carrier, pin it to a dashboard, and schedule it to arrive each Monday.
Sync the usage tables and connect your support tool, such as Intercom. Build the score once from usage, tickets and billing, then let nightly monitors flag accounts whose score drops. The customer health score playbook covers each step.
Yes. Save the pull as a project and put it on a schedule. Once the latest sync lands, Querri runs it again and mails a formatted workbook, split into one file per region or recipient when you ask. Nobody exports from query editor v2 or works around its 5 MB download cap.
Yes. Describe the board in a sentence, or begin with a screenshot of a dashboard your team already relies on. Edits are requests in plain words, charts can put warehouse tables next to CRM and ERP data, and a row filter keeps each viewer to their slice.
Yes, through Querri's MCP connection. Claude or ChatGPT then reads the synced Redshift tables through your Library, applies the definitions you've written down, and sees only the rows that person may see in Querri. It doesn't write fresh SQL against the cluster, so its late rate matches the dashboard's.
Not today. The connector uses a Redshift database username and password, which Querri stores encrypted. It doesn't use IAM roles, temporary credentials or AWS SSO. Create a dedicated database user with read access to the schemas you want in Querri.
Yes, through the optional VPN setting. You supply an OpenVPN configuration file with its CA, certificate and key, all stored encrypted, and Querri connects through that tunnel. This covers clusters that are reachable only inside your VPC, for example behind PrivateLink.
Rows stream straight into Parquet, so a table is never held in memory at once. For tables of tens of millions of rows, a chunked mode reads in ordered batches, 100,000 rows by default, saves each batch as it finishes and resumes from the last one if a sync fails.
Each connection reads one database and schema. Incremental syncs skip rows whose cursor column is NULL, so pick a column that is always filled. Incremental syncs don't see deletions until the next full refresh. With SSL on, traffic is encrypted, but the server certificate isn't verified.
Yes. Querri holds SOC 2 Type II, HIPAA and ISO 27001:2022 certification. Your database password and any VPN keys are stored encrypted, Querri only reads from Redshift, and your data is never used to train a model.
Keep exploring
Connect with an endpoint and a database user. Querri reads from Redshift and leaves every table as it found it.