Pinecone Pinecone
Vector Database

Every source into Pinecone, retrieval-ready.

Dataddo is the turnkey data layer for Pinecone. Connect 400+ business sources and keep your vector store continuously fed with clean, PII-safe, up-to-date records - no pipelines to build or maintain - so your RAG pipelines, semantic search, and agents always retrieve current data. Fully managed and deployment-flexible - no lock-in.

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ARCHITECTURE

Where Pinecone 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 Pinecone, clean and current

Connect 400+ sources and keep Pinecone continuously fed with clean, governed records and metadata - no pipelines to build, and no bad or broken data reaching your retrieval layer.

400+ managed connectors

Marketing, sales, finance, product, and ad platforms - plus databases and flat files - all maintained for you, ready to ground your AI.

Flexible batch loading

Load Pinecone by scheduled batch ETL or ELT from any of 400+ sources - blended, transformed, and delivered on the cadence your retrieval layer needs.

Scheduled loads that keep it current

Load Pinecone on the schedule you choose so it reflects your latest source data, and refresh it as sources change - no manual rebuilds.

PII-safe before it's locked in

Automatic PII detection masks or hashes sensitive fields, and the Data Quality Firewall stops bad records - so nothing you can't retract gets written into Pinecone.

Rich metadata for filtered retrieval

Land structured metadata alongside your records so you can filter and scope semantic search and hybrid queries in Pinecone.

Proactive monitoring

Data-quality checks and delivery alerts catch gaps before they reach Pinecone or the agents and apps it grounds.

WITH VS. WITHOUT

Who carries the load when things change upstream

Keep the same sources flowing into Pinecone - 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 Pinecone 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 Pinecone
Endpoint deprecated You re-engineer the integration. We own the update - the data contract holds. Your Pinecone 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 Pinecone
Silent degradation You find out when a report or model run fails. Proactive monitoring catches anomalies and delays first. Issues caught before retrieval quality drops
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 residency by design

Choose where Pinecone runs - cloud, sovereign, or on-prem

Vector stores often sit next to sensitive, proprietary knowledge. With Dataddo you decide where the data plane runs per workload - fully in the cloud, in a regional or sovereign cloud, or on-premises inside your own perimeter - whether Pinecone is a managed service or self-hosted. The control plane orchestrates every option the same way, through metadata only.

Data Plane location Typical data sensitivity Why this setup

Public cloud

AWS Microsoft Azure Google Cloud
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud.

Regional & EU sovereign clouds

EU sovereign clouds Regional providers Private cloud
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure.

On-premises

Kubernetes Red Hat OpenShift VMware Tanzu
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only.
DATA TYPES

Every data type, transformed and ready to embed in Pinecone

Dataddo blends, cleans, and structures data from 400+ sources before it reaches Pinecone - so the records and text your embedding jobs read arrive consistent and analytics-ready.

Data type Examples Vector-store use case
Structured Database tables, CSV, SaaS and CRM records Embed catalogs, tickets, and CRM records for semantic search and recommendations
Semi-structured JSON, API responses, NoSQL and MongoDB documents Flatten and embed document-store and event data to ground RAG
Unstructured text Free-text fields: reviews, descriptions, notes, support messages Deliver the raw text your embedding job turns into vectors for retrieval

Dataddo delivers records, metadata, and text fields ready for embedding. It does not ingest raw files such as PDFs, images, or audio, and it does not generate embeddings - your embedding job does that.

Case Studies

See what data teams build with Dataddo

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.

One of the world's largest beauty and consumer goods companies, operating across hundreds of markets and managing one of the most complex social media data estates in the industry.

Beauty & Consumer Goods

 How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo

Livesport is a global provider of real-time sports statistics, news, and other sports information.

Entertainment

 How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts

ID&T is the world's pioneering electronic music entertainment company, known for organizing major electronic music festivals such as Defqon.1, Awakenings, and Mysteryland.

Entertainment

 How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo

Sensire is a large healthcare organization that provides care to clients in their own homes, as well as in nursing facilities.

Healthcare

 How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

How Ringside.ai Builds a Data Product Better and Faster Using Dataddo

Ringside.ai provides a marketing data platform that specializes in analytics and attribution.

Marketing

 How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product

Publicis Groupe Brasil is the Brazilian branch of Publicis Groupe, the second largest communications group in the world, with over 1,500 employees across nine subsidiaries including Leo Burnett, Performics, and Publicis Brasil.

Advertising
FAQ

Pinecone + Dataddo, answered

What can I load into Pinecone?

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, cleansed, and PII-masked before it lands in Pinecone.

How does Dataddo load data into Pinecone?

Dataddo writes records and metadata to Pinecone by scheduled batch load on the cadence you choose, delivering the clean, current data your embedding and retrieval jobs rely on. Dataddo does not run the embedding model itself.

What does Dataddo write into Pinecone?

Dataddo keeps the governed source records behind your Pinecone index current - the id and metadata fields for each record, in the namespace you target. Upsert overwrites a record by id, so there are no duplicates. Dataddo delivers the data and metadata; it does not compute the vector values.

Does Dataddo generate the embeddings stored in Pinecone?

No. Dataddo does not generate embeddings or host models. You or your embedding model produce the vectors; Dataddo's job is to keep the source data and metadata behind your Pinecone index fresh, validated and PII-safe.

How does Dataddo keep Pinecone fresh and governed?

With scheduled, incremental refreshes from 400+ sources, data-quality checks and PII controls. Because upsert matches on the record id, each run keeps the index current without duplicating records.

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. Run it fully in the cloud with nothing to operate, or self-host the data plane as a lightweight agent - either way there is no pipeline code for you to maintain.

How is sensitive data handled?

Dataddo is SOC 2 Type II and ISO 27001 certified. Because you can't retract a value once it's embedded, PII can be masked or hashed before it ever reaches Pinecone, and with an on-premises data plane payload data never leaves your network. EU or US data residency is available.

How do I keep Pinecone up to date?

Scheduled loads refresh Pinecone with your latest source data on the cadence you choose, so your RAG and search results reflect current data - no manual rebuilds.

Am I locked in?

No. Data lands in your own Pinecone instance, and pipelines are destination-agnostic - you can add or switch vector stores and other destinations without rebuilding your sources.