Vertica Vertica
Data Warehouse

Every source into Vertica, analytics-ready.

Dataddo is the turnkey data layer for Vertica. Connect 400+ business sources, land clean, governed tables with no pipelines to build, and keep Vertica's columnar engine fed with fresh, analytics-ready data. Fully managed - no lock-in.

ARCHITECTURE

Where Vertica fits in your data architecture

Sources

Business / DB / File / Streaming Connectors

450+ available, any direction

Orchestration

Monitoring

Governance & Lineage

IAM & SSO

Dataddo Platform

Speed Security Governance
Control Plane
Data Plane

Destinations

DWH / Data Lake / Lakehouse

Consumption

AI & Agents / Analytics

ETLELTReverse ETLCDCData Streaming
Any direction, any workload
YOUR DATA FOUNDATION

Every source into Vertica, analytics-ready

Connect 400+ sources and land clean, governed tables in Vertica - no pipelines to build, and no bad or broken data slipping through.

400+ managed connectors

Marketing, sales, finance, product, and ad platforms - plus databases and flat files - all maintained for you.

ETL, ELT, CDC, streaming

Load Vertica however the workload demands - batch ETL or ELT, real-time CDC from your databases, or continuous event streaming. One platform, every transport pattern.

Write modes that hit SLAs

Insert, upsert, truncate-insert, or delete - pick the write mode per table. Incremental loads and fast, reliable delivery keep Vertica current and meet your data SLAs.

Clean, safe, analytics-ready

Blend and reshape sources, then let the Data Quality Firewall stop bad records and automatic PII detection mask sensitive fields - so only analytics-ready data lands in Vertica.

Schema-drift handling

When a source changes its fields, Dataddo adapts the pipeline and alerts you instead of breaking the load.

Proactive monitoring

Data-quality checks and delivery alerts catch gaps before they reach your dashboards or Vertica tables.

WITH VS. WITHOUT

Who carries the load when things change upstream

Keep the same sources flowing into Vertica - and see who owns it when an API, schema, or endpoint changes:

Without Dataddo With Dataddo Outcome for you
API or auth change You discover the breakage and scramble to fix it. We update the connector and restore the pipeline - often before you notice. Pipelines to Vertica keep flowing
Schema drift Columns change and pipelines break or corrupt data silently. Detected automatically and handled by configurable rules. Only clean data lands in Vertica
Endpoint deprecated You re-engineer the integration. We own the update - the data contract holds. Your Vertica loads keep working
Missing connector You build and maintain a custom integration. We build it and maintain it, under a ~4-week SLA. Any source can reach Vertica
Silent degradation You find out when a report or model run fails. Proactive monitoring catches anomalies and delays first. Issues caught before Vertica reports break
Debugging You dig through logs across disconnected tools. Run histories, payload inspection, and end-to-end lineage in one place. Faster root-cause, less downtime
DATA TRANSPORT

Every way to move data into and out of Vertica

The delivery pattern changes, the platform does not. Load Vertica by scheduled batch or in real time, and activate its data back out - all governed the same way.

Transport type What it does Typical connectors Typical business use cases
ETL & ELT Classic extract-transform-load, or load-first with in-warehouse transformation.
Salesforce Google Analytics 4 HubSpot Snowflake BigQuery + 400 more
Centralize SaaS, ad, and CRM data in Vertica for BI and reporting, Load raw data into Vertica and model it in-warehouse with SQL or dbt
Change Data Capture (CDC) Real-time, low-latency replication that tracks row-level changes as they happen.
PostgreSQL MySQL SQL Server Oracle MongoDB + 400 more
Replicate production databases into Vertica in near real time, Keep Vertica in sync with operational systems without full reloads
Data Streaming Continuous, event-driven pipelines for time-sensitive and AI-ready data workloads.
Kafka Azure Event Hub + 400 more
Stream events and webhooks into Vertica for real-time analytics, Keep Vertica continuously fed so dashboards reflect the latest activity
Reverse ETL Activate your data: push curated, governed records from your AI agents or warehouse back into CRMs, operational systems, and the frontier apps where your teams act on it.
Salesforce HubSpot Google Ads Marketo + 400 more
Push modeled metrics and segments from Vertica into CRMs and ad platforms, Operationalize Vertica data in the tools your teams use every day
FAQ

Vertica + Dataddo, answered

What can I load into Vertica?

Any of Dataddo's 400+ sources - marketing and ad platforms, CRMs, finance tools, databases, and flat files - plus custom sources on request. Data is blended and cleansed before it lands in Vertica.

Do I have to maintain the pipelines?

No. Dataddo is fully managed: we maintain the connectors, adapt to source schema changes, and alert you if anything needs attention. There is no infrastructure for you to run.

How does Dataddo connect to Vertica?

With a username and password, the DB host, database name and port (default 5433). The default SSL mode is server-strict and an SSH tunnel is available for indirect connections.

How do I let Dataddo reach a Vertica instance behind a firewall?

Dataddo must reach Vertica directly or through a pre-configured SSH tunnel set up in Security settings; if a firewall is in place, allow the Dataddo IP ranges (docs.dataddo.com/docs/network-acl).

What are Vertica table-naming and write-mode rules?

Table names may contain only letters, numbers and underscores and are created on the first write. Seven write modes are available; all except insert and truncate_insert use a composite key of up to four columns.

Can I send data back out of Vertica?

Yes. Dataddo does reverse ETL - push modeled metrics and segments from Vertica into CRMs, ad platforms, spreadsheets, BI tools, and other operational apps.

How is my data secured?

Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available.

Will this run up my Vertica bill?

Incremental loads write only new or changed rows, and you control the load schedule - so you move and store only the data you actually need.

Am I locked in?

No. Data lands in native Vertica tables you own, and pipelines are warehouse-agnostic - you can add or switch warehouses without rebuilding your sources.