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Talend Data Quality alternatives

10 companies ranked alongside Talend Data Quality on Lister's rankings, compared on what each is best for, its starting price and its Lister Score.

FROM 3 RANKINGS · UPDATED
The closest alternatives to Talend Data Quality on Lister are Precisely and Monte Carlo, the companies that share the most rankings with it. Each is compared below on its stated best fit, starting price and Lister Score.
Talend Data Quality alternatives, compared
#ALTERNATIVEBEST FORSCOREFROMRANKED
1PreciselyData integrity and spatial enrichment90.0Custom#5 in AI data quality tools that integrate with SnowflakeOn 3 of Talend Data Quality's rankings
2Monte CarloAutomated data reliability and downtime detection83.3Custom#6 in Top 10 Data Quality ToolsOn 2 of Talend Data Quality's rankings
3CollibraLarge enterprise data governance95.0Custom#1 in Top 10 Data Quality Tools
4OmniGoverned metrics and embedded analytics from one platformTeams wanting governed metrics, self-serve analysis, embedded analytics, and AI from the same platform94.0Custom enterprise pricing#1 in AI data quality tools with a free trial
5Informatica Data QualityComplex enterprise data integration92.7Custom#2 in Top 10 Data Quality Tools
6InformaticaCloud-native data management and integration for enterprisesMid to large enterprises needing enterprise-grade data quality and compliance90.0Custom#4 in AI data quality tools with a free trial
7Great ExpectationsData engineers and Python developers88.0Free#4 in Top 10 Data Quality Tools
8AtlanModern data stacks and collaboration85.7Custom#5 in Top 10 Data Quality Tools
9AlationData cataloguing and collaborative search81.0Custom#7 in Top 10 Data Quality Tools
10Experian Data QualityCustomer data and address verification76.3Custom#9 in Top 10 Data Quality Tools
FROM LISTER RANKINGS · UPDATED HOW WE RANK →

How to choose an alternative to Talend Data Quality

Start from what you need it for. Where each fits best, as Lister records it:

  • Precisely: Data integrity and spatial enrichment
  • Monte Carlo: Automated data reliability and downtime detection
  • Collibra: Large enterprise data governance
  • Omni: Teams wanting governed metrics, self-serve analysis, embedded analytics, and AI from the same platform
  • Informatica Data Quality: Complex enterprise data integration
  • Informatica: Mid to large enterprises needing enterprise-grade data quality and compliance
  • Great Expectations: Data engineers and Python developers
  • Atlan: Modern data stacks and collaboration
  • Alation: Data cataloguing and collaborative search
  • Experian Data Quality: Customer data and address verification

Closest to Talend Data Quality by the rankings they share: Precisely (3 rankings) and Monte Carlo (2 rankings).

Free to start, by their stated pricing: Great Expectations.

Custom or quote-based pricing: Precisely, Monte Carlo, Collibra, Omni, Informatica Data Quality, Informatica, Atlan, Alation and Experian Data Quality.

Each Lister Score is the alternative's score on the ranking named in its row, so compare scores within one ranking rather than across rankings. How the score is made.

Each alternative in brief

01

Precisely

#5 in AI data quality tools that integrate with Snowflake: Precisely provides unified data management to ensure enterprise AI has access to accurate and governed information. The platform addresses common data challenges such as siloed records and poor quality.

Pricing: CustomBest for: Data integrity and spatial enrichmentFull profile
PROS
  • Strong focus on data integrity
  • Good spatial and address data tools
CONS
  • Product suite can feel fragmented
90.0
02

Monte Carlo

#6 in Top 10 Data Quality Tools: An automated data observability platform that detects and resolves data quality issues in real time.

Pricing: CustomBest for: Automated data reliability and downtime detectionFull profile
PROS
  • Automated root cause analysis
  • Quick time to value
CONS
  • Expensive enterprise pricing
83.3
03

Collibra

#1 in Top 10 Data Quality Tools: An enterprise data intelligence platform that combines data governance, cataloguing, and quality management into a single collaborative solution.

Pricing: CustomBest for: Large enterprise data governanceFull profile
PROS
  • Comprehensive governance framework
  • Strong collaboration features
CONS
  • Steep learning curve
95.0
04

Omni

Governed metrics and embedded analytics from one platform

#1 in AI data quality tools with a free trial: Omni is an AI analytics platform that turns data into a trusted source of truth. Its semantic layer ensures AI understands business context for reliable results.

Pricing: Custom enterprise pricingBest for: Teams wanting governed metrics, self-serve analysis, embedded analytics, and AI from the same platformFull profile
PROS
  • Unified platform for internal and embedded analytics eliminates tool duplication
  • AI-powered insights and metric governance reduce manual analysis overhead
CONS
  • Premium positioning and custom pricing limit accessibility for smaller organisations
  • Explo acquisition integration maturity remains to be proven in market
94.0
05

Informatica Data Quality

#2 in Top 10 Data Quality Tools: A market leading tool offering AI powered data cleansing, standardisation, and monitoring for complex enterprise environments.

Pricing: CustomBest for: Complex enterprise data integrationFull profile
PROS
  • Powerful AI automation
  • Handles massive data volumes
CONS
  • High implementation cost
92.7
06

Informatica

Cloud-native data management and integration for enterprises

#4 in AI data quality tools with a free trial: Informatica is a cloud-native data management platform that turns complex data into business value. It helps organisations discover, connect and manage data across hybrid environments using AI-driven automation.

Pricing: CustomBest for: Mid to large enterprises needing enterprise-grade data quality and complianceFull profile
PROS
  • Advanced data quality, profiling and governance capabilities
  • Mature platform with strong customer base and support ecosystem
CONS
  • Premium pricing makes entry difficult for mid-market organisations
  • User interface complexity requires significant training investment
90.0
07

Great Expectations

#4 in Top 10 Data Quality Tools: An open source Python based data validation framework that helps teams test and profile data like code.

FreeBest for: Data engineers and Python developersFull profile
PROS
  • Integrates seamlessly with CI CD pipelines
  • Active open source community
CONS
  • Requires programming skills
88.0
08

Atlan

#5 in Top 10 Data Quality Tools: A collaborative data ops and cataloguing platform designed with a modern user experience and deep quality lineage.

Pricing: CustomBest for: Modern data stacks and collaborationFull profile
PROS
  • Modern and intuitive interface
  • Great metadata integration
CONS
  • Relatively new compared to legacy giants
85.7
09

Alation

#7 in Top 10 Data Quality Tools: A data intelligence platform featuring behavioural analysis and machine learning to drive data search and governance.

Pricing: CustomBest for: Data cataloguing and collaborative searchFull profile
PROS
  • Excellent search functionality
  • Strong community engagement
CONS
  • Can be resource intensive to maintain
81.0
10

Experian Data Quality

#9 in Top 10 Data Quality Tools: Specialised software focusing heavily on customer data accuracy, address validation, and contact enrichment.

Pricing: CustomBest for: Customer data and address verificationFull profile
PROS
  • Industry leader in address validation
  • Reliable global coverage
CONS
  • Less suited for internal technical pipeline data
76.3