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Verified July 24, 2026AI Data Integration and Quality Platform

Talend AI

Talend / talend.com

AI-powered data integration and quality platform providing ETL, real-time data pipelines, data quality management, and AI-enhanced data governance for enterprise data teams.

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Pricing

Free

Free plan

No

Category

Developer Tools

Platforms

2

Free plan

No

API access

No

Open source

No

Platforms

2

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What is Talend AI?

Talend is an enterprise data integration and quality platform — providing ETL, real-time data pipelines, API management, data cataloguing, and data quality tools that connect and cleanse data across enterprise environments. Talend was acquired by Qlik in 2023, positioning as the data integration foundation that feeds Qlik's analytics layer. Data Integration provides visual ETL and ELT development — connecting data sources, transforming data, and loading to destinations (data warehouse, data lake, databases) through a graphical interface with pre-built connectors. Data Quality applies AI and rule-based profiling to data quality — detecting missing values, format inconsistencies, duplicate records, and referential integrity violations. Trust Score quantifies data quality as a metric — providing a standardised measurement that data consumers can use to evaluate data fitness for purpose. Real-time data pipelines using Kafka integration and streaming processing enable event-driven integration alongside batch ETL. Data Catalogue provides metadata management and data lineage — showing where data originated, how it was transformed, and how it flows across systems for data governance and lineage tracking. With customers including Citi, Aetna, and Lenovo, Talend validates across financial services, insurance, and technology for enterprise data integration.

data-integrationaietldata-qualitydata-lineagegovernance
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How Talend AI works

Talend AI runs as ml platform software built around data and text workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api.

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Watch Talend AI in action

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Key Features

What makes it worth shortlisting

The capabilities that matter most for teams evaluating Talend AI.

01

Data Integration

Visual ETL/ELT with 900+ pre-built connectors providing visual data pipeline development without custom connector code — connecting enterprise data sources to analytics destinations.

02

Trust Score

Standardised data quality metric quantifying dataset quality — giving data consumers a score they can use to evaluate fitness for analytics and decision purposes.

03

Data Catalogue

Metadata management and data lineage showing where data originated and how it was transformed — essential for data governance, audit trails, and understanding data provenance.

Data Integration (visual ETL/ELT and connectors)Data Quality (AI profiling and rule-based quality management)Trust Score (data quality metric)Real-time Data Pipelines (streaming and event-driven integration)Data Catalogue (metadata and lineage management)API Services (API design and management)Cloud-native delivery (AWS, Azure, GCP)Pre-built connectors (900+)Data governance and complianceQlik integration

Best use cases

AI enterprise data integration and ETL
Data quality management and Trust Score
Real-time streaming data pipelines
Data lineage and metadata management
Enterprise data governance

Who should use it

Data engineers and ETL developers
Data architects and integration teams
Data governance and stewardship teams
BI and analytics teams
Enterprise data platform architects

Pros

  • Citi, Aetna, and Lenovo validate across financial services, insurance, and technology for enterprise data integration
  • Trust Score provides a standardised data quality metric that data consumers can use to evaluate data fitness
  • Qlik acquisition positions Talend as the data integration foundation for Qlik's analytics platform
  • 900+ pre-built connectors provide broad enterprise data source coverage without custom connector development

Cons

  • Qlik acquisition in 2023 — evaluate combined product roadmap and support continuity
  • Competing with Informatica (covered), dbt, and Fivetran for data integration market share
  • Data integration is a mature market — differentiation increasingly requires AI quality and governance capabilities

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Pricing Analysis

Is it worth the price?

Annual subscription. Per-user pricing. Owned by Qlik (acquired 2023). Demo available.

Model

Subscription

Starting price

Free

Free trial

Yes

Similar Tools

Tools like Talend AI

Informatica (covered) is the enterprise data management leader. Fivetran provides modern ELT connectors. dbt provides data transformation. Azure Data Factory provides integration within Azure. AWS Glue provides serverless ETL within AWS.

Comparison

Talend AI vs Hugging Face

A side-by-side look at the closest alternative in this category.

Talend AI favicon

Talend AI

Talend

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Hugging Face

Hugging Face

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Data Integration and Quality Platform
AI Model Hub
Company
Talend
Hugging Face
Status
Active
Active
Launch year
2022
2016
Tags
data-integrationaietldata-qualitydata-lineagegovernance
open-sourcemachine-learningmodelsdatasetstransformersresearch
Pricing
Starting price
FreeBest value
$9/mo
Pricing model
Subscription
Freemium
Free plan
No
Yes
Free trial
✓
✕
Pricing notes

Annual subscription. Per-user pricing. Owned by Qlik (acquired 2023). Demo available.

Free for most models and Spaces. Pro $9/month for private models, priority inference, and ZeroGPU. Enterprise Hub from $20/user/month for team collaboration and security.

Capabilities
Best for
AI enterprise data integration and ETLData quality management and Trust ScoreReal-time streaming data pipelinesData lineage and metadata managementEnterprise data governance
Open source model explorationModel fine-tuningResearchML model deploymentDataset management
Target audience
Data engineers and ETL developersData architects and integration teamsData governance and stewardship teamsBI and analytics teamsEnterprise data platform architects
AI researchersML engineersData scientistsDevelopersAcademic researchers
AI type
ML Platform
ML Platform
Modalities
DataText
TextImageAudioVideoCode
Technical
Model provider
Talend
Open Source Community
Model names
—
LlamaMistralStable DiffusionFLUXWhisper
API available
✕
✓
Open source
✕
✓
Deployment
SaaSOn-premise
SaaSAPIOpen Source
Platforms
WebAPI
WebPython library
Integrations
SnowflakeDatabricksSAPSalesforceKafkaAPI
GitHubGoogle ColabAWSAzureGCPVS Code
Team collaboration
✓
✓
Trust & security
Security

SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. Enterprise data handling agreements.

Enterprise Hub includes SSO, access controls, audit logs, and private infrastructure. SOC 2 compliant.

Privacy notes

Enterprise data and integration metadata processed on Talend cloud or customer on-premise. Qlik ownership may evolve data handling under Qlik's trust framework.

Public models and datasets are openly accessible. Enterprise Hub provides private model storage with data handling agreements. Review individual model licences before commercial deployment.

Verdict
Pros
  • Citi, Aetna, and Lenovo validate across financial services, insurance, and technology for enterprise data integration
  • Trust Score provides a standardised data quality metric that data consumers can use to evaluate data fitness
  • Qlik acquisition positions Talend as the data integration foundation for Qlik's analytics platform
  • 900+ pre-built connectors provide broad enterprise data source coverage without custom connector development
  • De facto standard hub for open source AI models with 500,000+ available
  • Transformers library provides consistent API for diverse model families
  • Spaces enable easy demo deployment without web infrastructure
  • Free for public models and strong community support
Cons
  • Qlik acquisition in 2023 — evaluate combined product roadmap and support continuity
  • Competing with Informatica (covered), dbt, and Fivetran for data integration market share
  • Data integration is a mature market — differentiation increasingly requires AI quality and governance capabilities
  • Technical platform primarily for developers and researchers
  • Inference API quality varies for very large or complex models
  • Navigation complexity increases with scale of the platform
Details

Technical & deployment info

Key facts about model providers, platforms, and team support.

Model Provider

Talend

Platforms

Web, API

Deployment

SaaS, On-premise

Integrations

Snowflake, Databricks, SAP, Salesforce, Kafka, API

Team Collaboration

Yes

Launch Year

2022

Trust

Security & privacy

Compliance signals and data-handling notes as reported by the vendor.

SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. Enterprise data handling agreements.

Enterprise data and integration metadata processed on Talend cloud or customer on-premise. Qlik ownership may evolve data handling under Qlik's trust framework.

Reviews

What users are saying

Verified reviews from signed-in users, stored in the backend and averaged into this tool's rating.

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FAQ

Common questions about Talend AI

Demo available. Annual subscription — contact Talend's (Qlik's) team.

Editorial Verdict

Should you use Talend AI?

Talend is a strong AI data integration and quality platform for enterprises wanting ETL, real-time pipelines, AI data quality management, and data lineage within a Qlik-integrated data ecosystem.

Last verified July 24, 2026.

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