Best Data Quality Tools - Page 18

How Many Data Quality Tools Products Does G2 Track?

Total Products under this Category: 282

Category Stats (Sep 2026)

  • Average Rating: 4.48/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: snapAddy (+0.84%) - Among all products in this category, snapAddy recorded the largest rating increase compared to last month

Last updated: September 15, 2026

How Does G2 Rank Data Quality Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,400+ Authentic Reviews
  • 282+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Data Quality Tools

G2 Grid® for Data Quality Tools plotting products by satisfaction and market presence

Highlighted products: SAS Viya, GTM Studio - Powered by ZoomInfo, Monte Carlo, HubSpot Data Hub, Data Quality Navigator, dbt, DQLabs, and D&B Connect.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-quality/grids.json?focus%5B%5D=sas-sas-viya&focus%5B%5D=gtm-studio-powered-by-zoominfo&focus%5B%5D=monte-carlo&focus%5B%5D=hubspot-data-hub&focus%5B%5D=data-quality-navigator&focus%5B%5D=dbt&focus%5B%5D=dqlabs&focus%5B%5D=d-b-connect&segment=all)

SAS Data Quality

Who Is the Company Behind SAS Data Quality?

  • Seller: SAS Institute Inc.
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

ScrapeCheck

ScrapeCheck answers one question per row of your data: is this value actually on its source page, right now? It independently re-fetches the page and returns a verdict of pass, fail, or unverifiable. A claim is never certified unless the re-fetched page contains it, and anything unconfirmed returns unverifiable, never a guess. Every verdict is ed25519-signed and verifies offline with an open-source verifier, so your customers or counterparties can check any result without trusting us. Two ways to buy: a Dataset Audit ($500 flat, up to 5,000 rows, signed report within 72 hours of receiving your data, $250 to begin, full refund if our fit check finds your data won't verify well) and a pay-per-check API ($0.01 per full check, first 100 free) that AI agents can pay directly. Scope stated plainly: server-rendered public pages; JavaScript-only content returns unverifiable by design.

Who Is the Company Behind ScrapeCheck?

Screena

Screena is a cloud-based solution powered by AI for name matching and identity verification. Our screening API provides endpoints to supercharge KYC/AML, transaction screening, due diligence, risk and fraud management applications. Screena reduces false positives and negatives with unrivaled precision at speed and at scale thanks to its unique "algo-as-a-service" technology that blends machine learning with option-based context-adaptive algorithms.

Who Is the Company Behind Screena?

  • Seller: Screena
  • Year Founded: 2013
  • HQ Location: New York, New York, United States
  • LinkedIn® Page: www.linkedin.com
    243 employees on LinkedIn®

SDF

SDF is a next-generation build system for data infrastructure. It's a tool that can help data scientists and engineers streamline their workflows.

Who Is the Company Behind SDF?

  • Seller: SDF
  • Year Founded: 2016
  • HQ Location: Philadelphia, Pennsylvania, United States
  • LinkedIn® Page: www.linkedin.com
    874 employees on LinkedIn®

SERAM

SERAM provides easy, distributed data collection with configurable backend for data computation, aggregation & analysis in one web application. It is built to accommodate EHS & generic KPI needs of companies of any size.

Who Is the Company Behind SERAM?

Serj

Serj indexes huge volumes of data with minimal resources needed for query.

Who Is the Company Behind Serj?

  • Seller: Validin
  • Year Founded: 2021
  • HQ Location: Melbourne, US
  • LinkedIn® Page: linkedin.com
    5 employees on LinkedIn®

SIRETLY

SIRETLY is a B2B data management platform that verifies, enriches, and corrects business information like SIRET identifiers, VAT numbers, and APE codes while detecting duplicates. It resolves data quality issues from migrations and manual entries through a four-step automated process: cleaning and normalizing company data, identifying inactive companies via SIRENE records, validating SIRET, VAT, and APE data against INSEE and DGFiP databases, and detecting duplicates with a proprietary algorithm. Users can resolve ambiguous cases through an online portal, selecting from verified candidates when multiple matches occur. SIRETLY integrates with existing tools and uses official public sources like the INSEE SIRENE database and DGFiP VAT files. Operating on a credit-based model, one credit equals one processed line, valid for one year.

Who Is the Company Behind SIRETLY?

  • Seller: EFFIDIC
  • Year Founded: 2018
  • HQ Location: Angers, FR
  • LinkedIn® Page: www.linkedin.com
    17 employees on LinkedIn®

snapAddy DataAgents

DataAgents is a workflow automation platform, that automates all CRM and lead processes for you sales team.

Who Is the Company Behind snapAddy DataAgents?

  • Seller: snapAddy
  • Year Founded: 2015
  • HQ Location: Würzburg, Bayern
  • LinkedIn® Page: www.linkedin.com
    101 employees on LinkedIn®

Spectrum Quality

Spectrum Quality extracts, normalizes and standardizes your data with confidence across multiple inputs and formats. Normalize all your information – including business and individual data, structured and unstructured. Our approach uses supervised machine learning neural network-based techniques to understand the structure and variations of different types of information to parse data in an automated manner. Ideally suited for global client bases with multi-level data standardization and transliteration needs for multiple languages and on culturally specific terms, including those in Arabic, Chinese, Japanese and Korean. Our advanced text-processing also enables information extraction from any natural language input text and can then assign categories to this unstructured text. Thanks to pre-trained models, you can extract entities and even further train and customize models to define specific entities of any domain or type.

Who Is the Company Behind Spectrum Quality?

  • Seller: Precisely
  • HQ Location: Burlington, Massachusetts
  • Twitter: @PreciselyData
    3,963 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,046 employees on LinkedIn®

SQACE

SQACE is a web-based low-code platform for testing data and data processes, with all relevant tools for the required data analysis and preparation. The application helps teams ensure data quality in a structured and efficient manner and provides transparent documentation of test activities. Customer projects show that SQACE can significantly reduce the effort required for data-related testing, often by 80% or more compared to previous approaches without the platform. At the same time, test coverage and test depth can be increased. SQACE offers a wide range of visual components that allow users to define and execute data queries, data comparisons, range checks, duplicate checks, and other quality validations. The platform handles many technical considerations in the background, enabling users to focus on the business logic. Data from different sources can be combined, validated, or compared. Based on modular building blocks, complex workflows can be created without programming. Code can be used when needed, for example for more specialized cases. The platform also supports before/after comparisons, regression testing or simple delta analysis. For more complex scenarios, transformation rules can be defined in comprehensible rule sets, which can generate expected results for any data volumes, for example for ETL or data migration tests. These expected results can be compared with actual results, and the platform provides automated support for determining test coverage. SQACE supports both ad-hoc testing and automated test pipelines. The graphical interface allows even experienced SQL users to create queries visually, improving maintainability. Built-in suggestion mechanisms help users formulate tasks quickly, even with only occasional use. Results of tests and comparisons are automatically stored, versioned, and visually prepared. They can be reviewed, re-executed, or reused as data sources for additional analyses. SQACE is containerized and can be deployed flexibly in enterprise environments.

Who Is the Company Behind SQACE?

Star DQ Pro

Making Sure Your Data is Accurate, Genuine, & Up-To-Date

Average Rating: 3.0/5.0

Total Reviews: 1

How Do G2 Users Rate Star DQ Pro?

  • Quality of Support: 8.3/10 (Category avg: 8.9/10)

Who Is the Company Behind Star DQ Pro?

Who Uses This Product?

  • Company Size: 100% Large

What Are G2 Users Discussing About Star DQ Pro?

SuiteCRM Smart Duplicate Detector

Duplicate data can harm a business in a number of ways. First of all, it will waste the resources and crucial operating costs of the company. Secondly, it also imitates the incorrect image of customers and sometimes, even lacks a single customer view. Especially, in a data-rich software like SuiteCRM. In order to avoid all this trouble, we have developed a proactive solution. Here, we are talking about the SuiteCRM Smart Duplicate Detector plugin. Below, we have mentioned some noteworthy features of this extension. 1. Using the plugin you can configure multiple settings that allow you to detect duplicate data in every module. 2. During the time of creating the record, it will notify you instantly whether the entered value in the field already exists or not. 3. In addition, you will be able to see the existing record that is being copied. 4. If you want to create a new record with the same field value then there is an option that can overrule the settings and allow you to create a new record. 5. It is marked as “Exact Match” or “Duplicate from Multiple Fields”. 6. The product can work exclusively on any particular module like leads, contacts, accounts, etc.

Who Is the Company Behind SuiteCRM Smart Duplicate Detector?

  • Seller: Outright Store
  • Year Founded: 2014
  • HQ Location: Noida, Uttar Pradesh
  • Twitter: @outrightstore
    624 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3 employees on LinkedIn®

SyncPenguin

SyncPenguin is a cloud-based platform that offers two-way and one-way automatic synchronization and integration of data between various applications.

Who Is the Company Behind SyncPenguin?

  • Seller: SyncPenguin
  • Year Founded: 2019
  • HQ Location: Lviv, UA
  • Twitter: @syncpenguin
    16 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1 employees on LinkedIn®

Syniti Knowledge Platform

A comprehensive enterprise data management solution designed to handle various data initiatives, the Syniti Knowledge Platform (SKP) integrates capabilities for data migration, quality, governance, and master data management into one unified platform. SKP aims to deliver trustworthy, optimized, and actionable data across businesses, ensuring successful digital transformations with minimal disruption. Able to support the most complex migrations, such as transitioning to SAP S/4HANA, SKP’s unified data management capabilities drive better business outcomes. SKP is an essential tool for enterprises looking to manage their data effectively and leverage it for strategic advantage. Its comprehensive features and benefits make it a valuable asset for any business aiming to improve data quality, governance, and overall management. SKP helps businesses achieve successful digital transformations with minimal disruption.

Average Rating: 4.2/5.0

Total Reviews: 14

How Do G2 Users Rate Syniti Knowledge Platform?

  • Quality of Support: 8.0/10 (Category avg: 8.9/10)

Who Is the Company Behind Syniti Knowledge Platform?

  • Seller: Syniti
  • Year Founded: 1996
  • HQ Location: Needham Heights, Massachusetts, United States
  • LinkedIn® Page: www.linkedin.com
    1,885 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 71% Large, 43% Medium

What Are Recent G2 Reviews of Syniti Knowledge Platform?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated March 10, 2026