MatchX

MatchX

VE3 Global
Sifflet

Sifflet

5.0 out of 5 stars
MatchX Sifflet

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MatchX:

About

MatchX is an AI-powered data quality and matching platform that cleans, connects, and governs your data — without the manual struggle. It finds and fixes duplicates, inconsistencies, missing fields, and mismatches across systems, even in complex, unstructured sources like scanned documents. The result? You get clean, connected, and trusted data — ready for AI, analytics, automation, and everyday business decisions. MatchX offers a comprehensive AI-enhanced data quality and matching solution that revolutionizes how companies manage their information assets. By integrating powerful data ingestion capabilities and intelligent schema mapping, MatchX structures and validates data from diverse sources, including APIs, databases, and documents. The platform’s self-learning AI models automatically detect and correct inconsistencies, duplicates, and anomalies, ensuring data integrity without intensive manual intervention.
Sifflet:

About

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.
MatchX:

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Sifflet:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
MatchX:

Audience

Data engineers, data stewards, and business leaders seeking a scalable AI-driven platform to improve data quality, compliance, and actionable insights across complex datasets
Sifflet:

Audience

Teams and companies requiring a solution to monitor their data assets, metadata, and infrastructure
MatchX:

Support

Phone Support Supported
24/7 Live Support Supported
Online Not Supported
Sifflet:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
MatchX:

API

Offers API Supported
Sifflet:

API

Offers API Not Supported
MatchX:

Screenshots and Videos

Sifflet:

Screenshots and Videos

MatchX:

Pricing

No information available.
Free Version Not Supported
Free Trial Supported
Sifflet:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
MatchX:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Sifflet:

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.5 / 5
design 5.0 / 5
support 4.0 / 5
Sifflet:

Pros & Cons from Real Users

Pros

  • AI-based anomaly detection works flawlessly Easy data lineage visualization Customizable metrics for business-specific monitoring Smooth cloud integration
  • To call out some of the top features, they would be:- ✅ The ability to connect to multiple data sources; giving you great observability of data no matter what platform you use. ✅ The UI is clean, simple and easy to use. Setting up a new data source is easy, even uploading dbt manifest files via their API is a simple few commands. ✅ Their documentation on getting things set up and working is very easy to read; it’s not bloated and tells you exactly what you need to do. ✅Their communication with us has been a great experience. They’ve fixed bugs we’ve raised to them, informed us of new updates, and overall been very receptive of feedback.

Cons

  • Mobile interface could be slightly improved Initial setup requires some familiarization for complex pipelines
  • Sifflet are still developing some features, polishing existing ones and ironing out minor bugs (more like quality of life features). So there’s nothing major that would be a deal breaker. If I had to call out some points that need development they would be:- 🤔 Their ‘Domain’ feature (ability to put data assets into domains, then limit users to a domain) is still in it’s basic form. It works, but needs some tweaks before it can be a real sellable feature. 🤔Exploring the lineage of a very large lineage graph can be difficult due to the number of relationships/dependencies a model may have. This may be more of an issue with your own DAG architecture than Sifflet, but it’s worth keeping in mind if your models are inherently complex and coupled to one another. Thankfully, Sifflet are working on a new UI for their lineage graph and have demo'd it with us, so this should be a lot smoother in the near future.
MatchX:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported
Sifflet:

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported
MatchX:

Company Information

VE3 Global
Founded: 2010
United Kingdom
www.ve3.global/matchx/
Sifflet:

Company Information

Sifflet
United States
www.siffletdata.com
MatchX:

Alternatives

Sifflet:

Alternatives

MatchX:
WinPure Clean & Match

WinPure Clean & Match

WinPure
5.0 out of 5 stars
Sifflet:
MatchX:
Sifflet:
MatchX:
Sifflet:
dbt

dbt

dbt Labs
5.0 out of 5 stars
MatchX:
DataMatch

DataMatch

Data Ladder
Sifflet:
MatchX:

Categories

Data Matching Supported
Data Quality Supported
Sifflet:

Categories

Data Catalog Supported
Data Engineering Supported
Data Lineage Supported
Data Observability Supported
Data Quality Supported
DataOps Supported
Observability Supported
MatchX:

Data Quality Features

Address Validation Supported
Data Deduplication Supported
Data Discovery Not Supported
Data Profililng Supported
Master Data Management Supported
Match & Merge Supported
Metadata Management Supported
MatchX:

Integrations

Looker Supported
Microsoft Power BI Supported
PostgreSQL Supported
Tableau Supported
AWS Quick Sight Not Supported
Airbyte Not Supported
Amazon Redshift Not Supported
Amazon S3 Not Supported
Apache Hive Not Supported
Apache Spark Not Supported
Census Not Supported
Datadog Not Supported
Firebolt Not Supported
Fivetran Not Supported
Opsgenie Not Supported
PagerDuty Not Supported
SQL Server Not Supported
Stitch Not Supported
dbt Not Supported
Sifflet:

Integrations

Looker Supported
Microsoft Power BI Supported
PostgreSQL Supported
Tableau Supported
AWS Quick Sight Supported
Airbyte Supported
Amazon Redshift Supported
Amazon S3 Supported
Apache Hive Supported
Apache Spark Supported
Census Supported
Datadog Supported
Firebolt Supported
Fivetran Supported
Opsgenie Supported
PagerDuty Supported
SQL Server Supported
Stitch Supported
dbt Supported
MatchX:
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Claim MatchX and update features and information
Sifflet:
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Claim Sifflet and update features and information