# Best Data Preparation Tools and Software

## How Many Data Preparation Software Products Does G2 Track?

**Total Products under this Category:** 128

### Category Stats (Aug 2026)

- **Average Rating:** 4.53/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
- **Top Trending Product:** Palantir Foundry (+0.93%) - Among all products in this category, Palantir Foundry recorded the largest rating increase compared to last month

_Last updated: August 27, 2026_

## How Does G2 Rank Data Preparation Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 11,800+ Authentic Reviews
- 128+ 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 Preparation Software
 ![G2 Grid® for Data Preparation Software plotting products by satisfaction and market presence](https://www.g2.com/categories/data-preparation/grids.png?focus%5B%5D=1213&focus%5B%5D=989&focus%5B%5D=1327283&focus%5B%5D=604&focus%5B%5D=19607&focus%5B%5D=148877&focus%5B%5D=16291&focus%5B%5D=4867)

Highlighted products: Tableau, Alteryx, SAS Viya, Domo, HubSpot Data Hub, dbt, KNIME, and Incorta.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-preparation/grids.json?focus%5B%5D=tableau&focus%5B%5D=alteryx&focus%5B%5D=sas-sas-viya&focus%5B%5D=domo&focus%5B%5D=hubspot-data-hub&focus%5B%5D=dbt&focus%5B%5D=knime-analytics-platform&focus%5B%5D=incorta)

**Sponsored**

### Amazon Simple Storage Service (S3)

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### [Tableau](https://www.g2.com/fr/products/tableau/reviews)

Tableau est la plateforme d'analytique alimentée par l'IA la plus avancée au monde. Que vous soyez un utilisateur professionnel ou un analyste, Tableau transforme des données fiables en informations exploitables. Avec notre plateforme flexible et interopérable, vous pouvez : Transformez les données en actions à grande échelle grâce à la collaboration humaine et agent. Tableau Next offre une IA agentique pour des flux de travail données-aperçu-action plus rapides. Il fait émerger des insights, fournit des recommandations proactives et vous aide à agir dans le flux de travail. Évoluez les insights basés sur les données avec une confiance opérationnelle totale. Tableau Cloud permet des analyses entièrement gérées à grande échelle. Il accélère votre temps de rentabilisation et vous donne accès aux dernières innovations alimentées par l'IA. Déployez des analyses visuelles en libre-service avec un contrôle et une flexibilité inégalés. Tableau Server répond aux besoins de gouvernance et de sécurité de votre organisation. Il fournit des analyses en libre-service de niveau entreprise sur site ou dans votre cloud privé.

**Average Rating:** 4.4/5.0

**Total Reviews:** 3,686

#### How Do G2 Users Rate Tableau?

- **the product a-t-il été un bon partenaire commercial?:** 8.6/10 (Category avg: 9.1/10)
- **Workflows de données:** 8.4/10 (Category avg: 8.9/10)
- **Profilage et classification:** 8.2/10 (Category avg: 8.6/10)
- **Jonction de données:** 8.5/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Tableau?

- **Vendeur:** [Salesforce](https://www.g2.com/fr/sellers/salesforce)
- **Site Web de l'entreprise:** www.salesforce.com
- **Année de fondation:** 1999
- **Emplacement du siège social:** San Francisco, CA
- **Twitter:** @salesforce  
579,511 abonnés Twitter
- **Page LinkedIn®:** [www.linkedin.com](https://www.g2.com/fr/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c04f36289ca03aeff007197f1d9e74e925e328ed6bcfaff98911c78b3ab382f7&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F3185%2F&secure%5Burl_type%5D=linkedin_company_website)  
83,223 employés sur LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Analyste de données, Analyste d'affaires
- **Top Industries:** Technologie de l'information et services, Logiciels informatiques
- **Company Size:** 41% Large, 36% Medium

#### What Do G2 Reviewers Say About Tableau?

_AI-generated summary from verified user reviews_

##### Pros

- Les utilisateurs soulignent la **facilité d'utilisation** de Tableau, simplifiant la visualisation des données et l'intégration pour une prise de décision efficace.
- Les utilisateurs apprécient la **facilité de créer des visualisations interactives** avec Tableau, simplifiant l'analyse des données provenant de multiples sources.
- Les utilisateurs adorent les **capacités de visualisation intuitives et puissantes** de Tableau, permettant des insights clairs à partir de données complexes.
- Les utilisateurs apprécient la **facilité d'utilisation et les puissantes fonctionnalités de visualisation** de Tableau, simplifiant la présentation et l'analyse des données.
- Les utilisateurs trouvent le **design intuitif** de Tableau exceptionnel, permettant une visualisation des données sans effort et des tableaux de bord interactifs pour un reporting efficace.

##### Cons

- Les utilisateurs trouvent que la **, ce qui complique le processus d'intégration et l'intégration avec Salesforce.**
- Les utilisateurs trouvent **l'apprentissage de Tableau difficile** , notamment en raison de sa complexité et des difficultés de collaboration et de calculs.
- Les utilisateurs trouvent Tableau **cher** , avec des coûts compliquant sa valeur dans les grandes organisations et les fonctionnalités avancées.
- Les utilisateurs éprouvent une **performance lente** avec de grands ensembles de données et des processus de rafraîchissement de données longs, ce qui entraîne de la frustration.
- Les utilisateurs trouvent **l'intégration de Tableau complexe** , rendant les tâches simples inutilement compliquées et difficile de passer des produits MS.

#### What Are Recent G2 Reviews of Tableau?

**["Tableau Turns Operational Data into Clear, Interactive Dashboards"](https://www.g2.com/fr/survey_responses/tableau-review-13340689)**

**Rating:** 4.0/5.0 stars

_— Priyanshu R._

[Read full review](https://www.g2.com/fr/survey_responses/tableau-review-13340689)

**["Des données claires signifient des décisions rapides."](https://www.g2.com/fr/survey_responses/tableau-review-13124621)**

**Rating:** 4.5/5.0 stars

_— Libia B._

[Read full review](https://www.g2.com/fr/survey_responses/tableau-review-13124621)

#### What Are G2 Users Discussing About Tableau?

- [Comment les professionnels de l'intelligence d'affaires utilisent-ils les derniers outils de visualisation de Tableau pour interpréter des ensembles de données complexes ?](https://www.g2.com/fr/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments
- [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/fr/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for) - 1 comment
- [Ai-je besoin de Tableau Desktop si j'ai Tableau Server ?](https://www.g2.com/fr/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [Ai-je besoin de Tableau Desktop si j'ai Tableau Server ?](https://www.g2.com/fr/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments
- [Quoi de neuf dans Tableau Server ?](https://www.g2.com/fr/discussions/what-s-new-in-tableau-server) - 1 comment

### [Alteryx](https://www.g2.com/products/alteryx/reviews)

Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial.

**Average Rating:** 4.6/5.0

**Total Reviews:** 864

#### How Do G2 Users Rate Alteryx?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.2/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.4/10 (Category avg: 8.6/10)
- **Data Joining:** 9.1/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Alteryx?

- **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx)
- **Company Website:** www.alteryx.com
- **Year Founded:** 1997
- **HQ Location:** Irvine, CA
- **Twitter:** @alteryx  
26,149 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ae8a7629c5a6d593caff29361a6ee3fb670df11992dd94a9656c66461078b340&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F903031%2F&secure%5Burl_type%5D=linkedin_company_website)  
2,304 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Analyst
- **Top Industries:** Financial Services, Accounting
- **Company Size:** 63% Large, 21% Medium

#### What Do G2 Reviewers Say About Alteryx?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** in Alteryx, finding it simple to automate tasks with drag and drop functionality.
- Users value the **automation capabilities** of Alteryx, streamlining data processes and enhancing analytical efficiency.
- Users find Alteryx to be **very intuitive** , making it easy for non-technical users to learn and utilize.
- Users find that Alteryx's interface makes **learning technology easy** for everyone, even those without a tech background.
- Users value Alteryx for its **efficiency** in managing data, streamlining workflows, and enhancing overall productivity.

##### Cons

- Users highlight the **expensive pricing** of Alteryx, making it difficult for small teams or startups to afford licenses.
- Users face a **steep learning curve** with Alteryx, requiring time to master its complex features.
- Users find that Alteryx suffers from **missing features** , such as lack of direct database access and limited reporting tools.
- Users find the **learning difficulty** of Alteryx steep, especially for those unfamiliar with RegEx and SQL.
- Users experience **slow performance** with Alteryx, particularly when handling large workflows and during data wrangling tasks.

#### What Are Recent G2 Reviews of Alteryx?

**["Scales Operations and Saves Time with Automated Data Workflows"](https://www.g2.com/survey_responses/alteryx-review-13047637)**

**Rating:** 4.5/5.0 stars

_— Ihor B._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13047637)

**["Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow"](https://www.g2.com/survey_responses/alteryx-review-13190742)**

**Rating:** 4.5/5.0 stars

_— Anushka S._

[Read full review](https://www.g2.com/survey_responses/alteryx-review-13190742)

### [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control.

**Average Rating:** 4.3/5.0

**Total Reviews:** 774

#### How Do G2 Users Rate SAS Viya?

- **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 9.1/10)
- **Data Workflows:** 8.5/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.5/10 (Category avg: 8.6/10)
- **Data Joining:** 8.8/10 (Category avg: 8.9/10)

#### Who Is the Company Behind SAS Viya?

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** www.sas.com
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware  
60,863 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=64db42c044af5bbad79bd9677a620a6c31a8ff1abf4e7b2a6f1d6ed9561d105d&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1491%2F&secure%5Burl_type%5D=linkedin_company_website)  
18,638 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Student, Biostatistician
- **Top Industries:** Pharmaceuticals, Banking
- **Company Size:** 33% Small, 33% Large

#### What Do G2 Reviewers Say About SAS Viya?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** in SAS Viya, enhancing data visualization and decision-making for businesses.
- Users appreciate the **advanced analytical capabilities** of SAS Viya, making data analysis and decision-making more efficient.
- Users value the **sophisticated analytical capabilities** of SAS Viya, enhancing decision-making and insights from diverse data sources.
- Users value the **end-to-end data lifecycle tooling** in SAS Viya, enhancing insights and strategic decision-making capabilities.
- Users commend SAS Viya for its **user-friendly interface** , making complex analytics accessible to individuals of all skill levels.

##### Cons

- Users find SAS Viya **difficult for non-technical users** to navigate, impacting ease of access to reports and dashboards.
- Users find the **learning curve challenging** , especially for non-technical individuals navigating reports and dashboards.
- Users find the **visualization complexity** of SAS Viya challenging, especially for those without technical expertise.
- Users find the **difficult learning curve** for SAS Viya challenging, especially for non-technical users attempting to access features.
- Users find the **expensive pricing** of SAS Viya a potential barrier, complicating their decision-making process.

#### What Are Recent G2 Reviews of SAS Viya?

**["SAS Viya: Powerful AI & Data Analysis with Seamless Integrations"](https://www.g2.com/survey_responses/sas-viya-review-11855145)**

**Rating:** 5.0/5.0 stars

_— Verified User in Hospital & Health Care_

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11855145)

**["Effective Data Analysis with SAS Viya"](https://www.g2.com/survey_responses/sas-viya-review-11872818)**

**Rating:** 4.5/5.0 stars

_— Fungai J._

[Read full review](https://www.g2.com/survey_responses/sas-viya-review-11872818)

#### What Are G2 Users Discussing About SAS Viya?

- [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments

### [Domo](https://www.g2.com/products/domo/reviews)

Domo is the agentic platform for the intelligent enterprise, helping organizations connect, govern, activate, and distribute data and AI across their business. Built for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks to help teams turn governed data into AI-powered agents, apps, workflows, and analytics. Domo is built on three layers. The data foundation connects and governs data across cloud data platforms and business systems. The activation layer enables organizations to build AI agents, apps, workflows, automations, and dashboards on top of that foundation. The distribution layer delivers intelligence where work happens through embedded apps, mobile, dashboards, and AI assistants using Model Context Protocol (MCP). Governance underpins every layer, helping organizations scale AI and data products with security and trust. Key capabilities include: - Connecting and governing data across cloud data platforms and enterprise applications. - Building AI agents, apps, workflows, automations, dashboards, and analytics. - Delivering data and AI through dashboards, embedded apps, AI assistants, and AI agents. - Supporting both low-code and pro-code development for business and technical teams. - Applying governance, security, and access controls across data and AI. Organizations use Domo for AI agents, apps, and workflows, as well as business intelligence, operational analytics, embedded analytics, and executive reporting. By combining governed data, AI activation, app development, and distribution in a single platform, Domo helps organizations build and scale trusted data products across the enterprise.

**Average Rating:** 4.3/5.0

**Total Reviews:** 1,072

#### How Do G2 Users Rate Domo?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 8.2/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 7.7/10 (Category avg: 8.6/10)
- **Data Joining:** 9.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Domo?

- **Seller:** [Domo](https://www.g2.com/sellers/domo)
- **Company Website:** www.domo.com
- **Year Founded:** 2010
- **HQ Location:** American Fork, UT
- **Twitter:** @Domotalk  
63,513 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=930264e423425693f202ced16a30f6d197bcd60a8bf42ced6ba13de91b09312c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F25237%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,288 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Analyst, Business Analyst
- **Top Industries:** Computer Software, Information Technology and Services
- **Company Size:** 50% Medium, 28% Large

#### What Do G2 Reviewers Say About Domo?

_AI-generated summary from verified user reviews_

##### Pros

- Users find Domo's **ease of use** and intuitive design invaluable for managing data efficiently and effectively.
- Users value the **flexible and user-friendly data visualization** capabilities of Domo, enhancing their data analysis experience significantly.
- Users find Domo's **intuitive design** empowering, facilitating easy access and effective data visualization for all skill levels.
- Users praise Domo for its **easy integrations** , streamlining data management and enhancing real-time collaboration across various platforms.
- Users value Domo's **seamless integration capabilities** , enabling efficient data management and real-time insights from various sources.

##### Cons

- Users find the **learning curve steep** , often needing dedicated resources to manage updates and functionalities effectively.
- Users report **missing features** in Domo, including flexibility in pivot charts and dynamic column options.
- Users face significant **data management issues** with Domo, including unreliable connectors and challenging reporting functionality.
- Users find Domo **expensive** , especially with drastic price increases that strain budgets and erode client trust.
- Users find Domo's **complexity** hinders flexibility and speed in dataset management, making changes challenging and time-consuming.

#### What Are Recent G2 Reviews of Domo?

**["Effortless Live Dashboards and Data Blending with Domo"](https://www.g2.com/survey_responses/domo-review-13093007)**

**Rating:** 5.0/5.0 stars

_— Karthik M._

[Read full review](https://www.g2.com/survey_responses/domo-review-13093007)

**["Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard"](https://www.g2.com/survey_responses/domo-review-13128007)**

**Rating:** 5.0/5.0 stars

_— Renee G._

[Read full review](https://www.g2.com/survey_responses/domo-review-13128007)

#### What Are G2 Users Discussing About Domo?

- [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment
- [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost)
- [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data)
- [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good)
- [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do)

### [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)

Data Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline business processes. Core Value Proposition: Data Hub addresses critical operational challenges: disconnected data across applications, manual data entry consuming team time, data quality issues undermining business decisions, and complex automation requirements existing tools cannot handle. The platform offers native integrations with other applications to create a more efficient, aligned, and agile business. Key Capabilities: Data Integration: Data Hub connects contacts, leads, and company data between HubSpot and external applications bidirectionally and in real-time. This creates a unified customer data foundation rather than requiring manual data transfer. Data Quality Management: The platform includes tools that maintain a clean database, allowing operations teams to save hours of manual data validation and correction work. Process Automation: Data Hub enables complex business process automation across systems, connecting trigger events in one application to automated actions in another. This streamlines internal workflows and reduces manual coordination. Unified Customer View: By connecting all customer data sources to the HubSpot CRM platform, Data Hub creates a single source of truth that sales, marketing, and service teams can reference for customer interactions. Data Hub vs. Alternatives: Unlike standalone integration platforms (iPaaS) requiring technical expertise to configure and maintain, Data Hub provides native HubSpot integration with a visual interface designed for operations professionals rather than developers. This reduces implementation time and ongoing maintenance requirements. Data Hub eliminates manual data entry and data validation by automating these workflows. The platform guarantees up-to-date data and maintains a clean database without constant manual intervention. Who Should Use Data Hub: Data Hub serves operations teams managing data across multiple systems, organizations experiencing data quality issues affecting business decisions, and companies needing to automate complex cross-system workflows without extensive technical resources. The platform enables business agility as organizations grow. Outcome: Data Hub supercharges your HubSpot CRM with a complete toolkit to connect, clean, and automate customer data, uniting all customer data into one connected platform that results in a friction-free customer experience.

**Average Rating:** 4.5/5.0

**Total Reviews:** 562

#### How Do G2 Users Rate HubSpot Data Hub?

- **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.8/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 9.6/10 (Category avg: 8.6/10)
- **Data Joining:** 9.2/10 (Category avg: 8.9/10)

#### Who Is the Company Behind HubSpot Data Hub?

- **Seller:** [HubSpot](https://www.g2.com/sellers/hubspot)
- **Company Website:** hubspot.com
- **Year Founded:** 2006
- **HQ Location:** Cambridge, Massachusetts, United States
- **Twitter:** @HubSpot  
784,270 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=e7728cdccf3cd40d382e6159b493e5f6534eb2bfad47dc424c39639ed9e0ebf3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F68529%2F&secure%5Burl_type%5D=linkedin_company_website)  
12,158 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** CEO, Owner
- **Top Industries:** Information Technology and Services, Marketing and Advertising
- **Company Size:** 67% Small, 30% Medium

#### What Do G2 Reviewers Say About HubSpot Data Hub?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **user-friendly interface** of HubSpot Data Hub, making information easily accessible and operations efficient.
- Users benefit from **automation capabilities** in HubSpot Data Hub, significantly streamlining tasks and enhancing overall efficiency.
- Users value the **two-way data sync** of HubSpot Data Hub, enhancing efficiency and collaboration across teams.
- Users value the **two-way data sync** across platforms, enhancing efficiency and ensuring accurate, consistent information for teams.
- Users appreciate the **efficiency** of HubSpot Data Hub, streamlining data management and reducing workflow complexities.

##### Cons

- Users find the **limitations in data handling** frustrating, particularly regarding external data integration and processing capabilities.
- Users find the **missing features** in HubSpot Data Hub limit their ability to manage complex contact data effectively.
- Users find the **learning curve steep** , especially when unfamiliar with workflow automation, affecting overall usability.
- Users find HubSpot Data Hub **fairly expensive** , particularly for small teams wanting advanced features and customization.
- Users find the **complexity of reporting** and data tracking in HubSpot Data Hub to be challenging and frustrating.

#### What Are Recent G2 Reviews of HubSpot Data Hub?

**["A Powerful Platform for Centralizing and Managing Customer Data"](https://www.g2.com/survey_responses/hubspot-data-hub-review-10686855)**

**Rating:** 5.0/5.0 stars

_— Nancy K._

[Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-10686855)

**["HubSpot Data Hub Keeps Customer Data Clean and Centralized"](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)**

**Rating:** 4.0/5.0 stars

_— Sagar K._

[Read full review](https://www.g2.com/survey_responses/hubspot-data-hub-review-12562615)

#### What Are G2 Users Discussing About HubSpot Data Hub?

- [What is HubSpot Operations Hub used for?](https://www.g2.com/discussions/what-is-hubspot-operations-hub-used-for) - 1 comment

### [dbt](https://www.g2.com/products/dbt/reviews)

dbt is a transformation workflow that lets data teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.

**Average Rating:** 4.7/5.0

**Total Reviews:** 208

#### How Do G2 Users Rate dbt?

- **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.1/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.3/10 (Category avg: 8.6/10)
- **Data Joining:** 9.1/10 (Category avg: 8.9/10)

#### Who Is the Company Behind dbt?

- **Seller:** [Fivetran](https://www.g2.com/sellers/fivetran)
- **Year Founded:** 2012
- **HQ Location:** Oakland, CA
- **Twitter:** @fivetran  
5,767 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=7f1ca0a984cd3b7fe678e6cf023235ee7978629644faf3910a5df7f92b63eea3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Ffivetran%2F&secure%5Burl_type%5D=linkedin_company_website)  
1,848 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Analytics Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Medium, 27% Small

#### What Do G2 Reviewers Say About dbt?

_AI-generated summary from verified user reviews_

##### Pros

- Users find dbt's **ease of use** exceptional, with straightforward setup and intuitive features enhancing their data transformation processes.
- Users appreciate the **maintainability and clarity** of dbt's SQL code base, enhancing collaboration and data transformations.
- Users value the **automation of data workflows** with dbt, enhancing maintainability and collaboration in SQL transformations.
- Users love the **ease of transforming data with dbt** , allowing for organized and efficient analytics workflows.
- Users value the **data quality** of dbt, praising its effectiveness in ensuring data integrity and operational efficiency.

##### Cons

- Users find that dbt has **limited functionality** due to rigidness and complex debugging, hindering project progress.
- Users face **dependency issues** in dbt, as model errors and upstream changes complicate troubleshooting and disrupt workflows.
- Users find the **steep learning curve** of dbt daunting, needing mastery of concepts like Jinja and Git.
- Users encounter **poor error handling** with unclear messages, making troubleshooting frustrating and complicating the user experience.
- Users often face **confusing error reporting** and unclear messages, making troubleshooting and identifying issues challenging.

#### What Are Recent G2 Reviews of dbt?

**["Simple SQL-Driven Materializations with Powerful Lineage"](https://www.g2.com/survey_responses/dbt-review-12985641)**

**Rating:** 5.0/5.0 stars

_— Anish G._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12985641)

**["dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features"](https://www.g2.com/survey_responses/dbt-review-12712114)**

**Rating:** 5.0/5.0 stars

_— Hithesh P._

[Read full review](https://www.g2.com/survey_responses/dbt-review-12712114)

#### What Are G2 Users Discussing About dbt?

- [What is DBT data Modelling?](https://www.g2.com/discussions/what-is-dbt-data-modelling) - 2 comments
- [What is DBT technology?](https://www.g2.com/discussions/what-is-dbt-technology) - 2 comments
- [What is DBT database tool?](https://www.g2.com/discussions/what-is-dbt-database-tool) - 1 comment
- [What is DBT tool used for?](https://www.g2.com/discussions/what-is-dbt-tool-used-for) - 2 comments

### [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)

KNIME helps everybody make sense of data. Its free and open source KNIME Analytics Platform enables anyone — whether they come from a business, technical or data background — to intuitively work with data, every day. KNIME Business Hub is the commercial complement to KNIME Analytics Platform and enables users to collaborate on data science and share insights across the organization. Together, the products support the complete data science lifecycle, allowing teams at all levels of analytics readiness to support the operationalization of data and to build a scalable data science practice.

**Average Rating:** 4.5/5.0

**Total Reviews:** 117

#### How Do G2 Users Rate KNIME?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Data Workflows:** 10.0/10 (Category avg: 8.9/10)
- **Data Joining:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind KNIME?

- **Seller:** [KNIME](https://www.g2.com/sellers/knime)
- **Company Website:** knime.com
- **Year Founded:** 2008
- **HQ Location:** Zurich, Switzerland
- **Twitter:** @knime  
7,998 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=f7a516bbe2dc4d0e292ed78e5e957b79bbec1dfe489fa8be92a344d651ca0810&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F692207%3Ftrk%3Dtyah%26trkInfo%3DclickedVertical%253Acompany%252CclickedEntityId%253A692207%252Cidx%253A2-1-4%252CtarId%253A1454002156993%252Ctas%253Aknime&secure%5Burl_type%5D=linkedin_company_website)  
245 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Higher Education
- **Company Size:** 39% Large, 34% Medium

#### What Do G2 Reviewers Say About KNIME?

_AI-generated summary from verified user reviews_

##### Pros

- Users find KNIME's **ease of use** enhances productivity, enabling even non-technical individuals to build workflows effortlessly.
- Users find KNIME's **coding ease** remarkable, enabling effortless workflows without requiring extensive technical skills.
- Users find KNIME to be an **easy-to-learn platform** , enabling quick workflow creation without coding skills.
- Users find KNIME easy to learn and start delivering results, thanks to its **intuitive visual workflow interface**.
- Users love the **easy and intuitive data visualization** capabilities of KNIME, enhancing understanding and communication of data insights.

##### Cons

- Users find the **initial learning curve challenging** , especially for those unfamiliar with data science concepts and visual programming.
- Users face **memory usage issues** with KNIME, leading to slow performance, especially with larger files and operations.
- Users report **storage limitations** with KNIME, leading to performance issues and difficulties with large datasets.
- Users note that **data management issues** hinder their experience, especially with file handling and certain databases.
- Users find the **lack of learning resources** for KNIME to be a significant barrier to effective usage.

#### What Are Recent G2 Reviews of KNIME?

**["KNIME Makes Data Analysis Simple, Fast, and Efficient"](https://www.g2.com/survey_responses/knime-review-13349073)**

**Rating:** 4.0/5.0 stars

_— Md Sameer R._

[Read full review](https://www.g2.com/survey_responses/knime-review-13349073)

**["Powerful, Free Data ETL with an Intuitive Drag-and-Drop Interface"](https://www.g2.com/survey_responses/knime-review-13241518)**

**Rating:** 4.5/5.0 stars

_— Jared W._

[Read full review](https://www.g2.com/survey_responses/knime-review-13241518)

#### What Are G2 Users Discussing About KNIME?

- [What is KNIME Analytics Platform used for?](https://www.g2.com/discussions/what-is-knime-analytics-platform-used-for)
- [Is Knime easy to use?](https://www.g2.com/discussions/is-knime-easy-to-use) - 1 comment
- [How do I use Knime Analytics?](https://www.g2.com/discussions/how-do-i-use-knime-analytics)
- [Is Knime any good?](https://www.g2.com/discussions/is-knime-any-good)
- [What is Knime analytics platform?](https://www.g2.com/discussions/what-is-knime-analytics-platform)

### [Incorta](https://www.g2.com/products/incorta/reviews)

Incorta is the first and only open data delivery platform that enables real-time analysis of live, detailed data across all systems of record—without the need for complex ETL processes. By enabling direct analysis on raw, source-identical data, Incorta provides faster, more accurate insights while removing barriers to exploration. With intuitive low-code/no-code tools, AI-powered querying through Nexus, and prebuilt business data applications, enterprise teams can quickly surface insights, break down technical roadblocks, and make smarter decisions without heavy engineering effort. For more information, please visit www.incorta.com.

**Average Rating:** 4.4/5.0

**Total Reviews:** 55

#### How Do G2 Users Rate Incorta?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)
- **Data Workflows:** 8.7/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.6/10 (Category avg: 8.6/10)
- **Data Joining:** 8.6/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Incorta?

- **Seller:** [Incorta](https://www.g2.com/sellers/incorta)
- **Company Website:** www.incorta.com
- **Year Founded:** 2013
- **HQ Location:** San Mateo, CA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=c8c59dc8a9a75b9a6418a91d4025810db481465cf5bce72225b97c66bb082527&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fincorta%2F&secure%5Burl_type%5D=linkedin_company_website)  
348 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 56% Large, 29% Medium

#### What Do G2 Reviewers Say About Incorta?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of integration** with diverse data sources, enhancing their data management efficiency.
- Users value the **easy integrations** with various data sources, enhancing their data analysis experience significantly.
- Users value the **ease of integration** with various data sources, enhancing their workflow and data management.

##### Cons

- Users often face **bugs related to outdated JRE support** , impacting the performance of the local data agent.

#### What Are Recent G2 Reviews of Incorta?

**["Great platformand support"](https://www.g2.com/survey_responses/incorta-review-10853785)**

**Rating:** 5.0/5.0 stars

_— Jeff W._

[Read full review](https://www.g2.com/survey_responses/incorta-review-10853785)

**["Facilitating presentation and information access"](https://www.g2.com/survey_responses/incorta-review-9467627)**

**Rating:** 5.0/5.0 stars

_— Elsayed H._

[Read full review](https://www.g2.com/survey_responses/incorta-review-9467627)

#### What Are G2 Users Discussing About Incorta?

- [Is Incorta a data warehouse?](https://www.g2.com/discussions/is-incorta-a-data-warehouse)
- [What is Incorta?](https://www.g2.com/discussions/what-is-incorta)
- [What do you know about Incorta?](https://www.g2.com/discussions/what-do-you-know-about-incorta)
- [What is Incorta used for?](https://www.g2.com/discussions/what-is-incorta-used-for) - 1 comment

### [Validity Engage](https://www.g2.com/products/validity-engage/reviews)

Litmus is the enterprise marketing success platform that gives marketing teams the control, visibility, and confidence to execute high-performing email programs at scale. From pre-send testing to post-send analytics, Litmus eliminates the errors, inefficiencies, and blind spots that cost enterprise senders revenue and reputation. Trusted by marketing teams at the world's leading brands, Litmus integrates into existing enterprise workflows to accelerate production, enforce brand standards, and protect deliverability across every send. Core capabilities: Email previews across 100+ clients and devices. Validate exactly how every email renders in Gmail, Outlook, Apple Mail, on mobile, in dark mode, and across every major environment — before sending to millions of subscribers. Eliminate the rendering errors that damage brand credibility at scale. Automated pre-send QA. Run spam filter testing, link validation, image blocking checks, and accessibility scans within a single workflow. Enterprise teams ship in half the time and with fewer errors when quality checks are built into the process, not bolted on at the end. Deliverability and inbox placement monitoring. Track inbox placement rates by mailbox provider, monitor sender reputation in real time, and blocklist hits or authentication failures. Litmus surfaces the deliverability intelligence your ESP doesn't provide. Sender Certification. Be part of the industry's most trusted allowlist, backed by 24/7 monitoring and exclusive data relationships with mailbox providers worldwide. Certified senders reach the inbox with a level of assurance no other program delivers. Competitive Intelligence. Monitor competitor send volume, frequency, subject line strategies, and inbox placement. Give enterprise marketing teams the benchmarking data they need to make informed strategic decisions and stay ahead of the market. Enterprise collaboration and approvals. Manage multi-stakeholder review cycles inside a single platform. Centralize feedback, enforce approval workflows, and get campaigns through legal, compliance, and brand review without version chaos or scattered email threads. For enterprise organizations ready to scale further, Litmus is the foundation for Validity Engage — an AI-powered email execution platform that orchestrates the full email marketing workflow, from content creation through sending and optimization. Litmus is part of the Validity portfolio, alongside BriteVerify for contact data validation and DemandTools for Salesforce CRM data quality — giving enterprise revenue and marketing teams a connected solution for data integrity, email performance, and program execution.

**Average Rating:** 4.5/5.0

**Total Reviews:** 973

#### How Do G2 Users Rate Validity Engage?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.1/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.8/10 (Category avg: 8.6/10)
- **Data Joining:** 9.2/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Validity Engage?

- **Seller:** [Validity Inc](https://www.g2.com/sellers/validity-inc)
- **Company Website:** www.validity.com
- **Year Founded:** 2018
- **HQ Location:** Boston, Massachusetts
- **Twitter:** @TrustValidity  
1,151 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=8be688406ea338049038d268470cedfc67029c5530909fb0451c4a7545934bd3&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F11679353%2F&secure%5Burl_type%5D=linkedin_company_website)  
350 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Email Marketing Manager, Marketing Manager
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 44% Medium, 29% Small

#### What Do G2 Reviewers Say About Validity Engage?

_AI-generated summary from verified user reviews_

##### Pros

- Users value the **ease of use** of Validity Engage, praising its intuitive interface and streamlined collaboration features.
- Users value the **dynamic previews** of Litmus, enhancing email rendering insights across devices and clients.
- Users value the **effective email automation and personalization** features of Validity Engage, boosting campaign optimization and engagement.
- Users love the **detailed dynamic previews** of Litmus, enhancing email design across multiple devices and platforms.
- Users appreciate the **user-friendly interface** of Validity Engage, enabling seamless email campaign management and previews.

##### Cons

- Users often experience **slow performance** with Validity Engage when switching previews and rendering email tests.
- Users find the **absence of key features** frustrating, particularly regarding template sharing and an undo option.
- Users express concerns about **email client settings rigidity** and the need for improved customization and error visibility.
- Users find the **email management process cumbersome** due to rigid default settings and the need for manual preview checks.
- Users find Validity Engage to be **quite expensive** , with many features locked behind higher cost tiers.

#### What Are Recent G2 Reviews of Validity Engage?

**["Collaboration Made Easy, Minor Pin Issue Aside"](https://www.g2.com/survey_responses/validity-engage-review-11899725)**

**Rating:** 4.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/validity-engage-review-11899725)

**["Litmus Boosts Email Marketing Precision and Efficiency"](https://www.g2.com/survey_responses/validity-engage-review-11823029)**

**Rating:** 5.0/5.0 stars

_— Grecia L._

[Read full review](https://www.g2.com/survey_responses/validity-engage-review-11823029)

#### What Are G2 Users Discussing About Validity Engage?

- [What is DemandTools used for?](https://www.g2.com/discussions/what-is-demandtools-used-for) - 1 comment
- [What is Litmus used for?](https://www.g2.com/discussions/what-is-litmus-used-for) - 1 comment
- [What is litmus what are its types and uses?](https://www.g2.com/discussions/what-is-litmus-what-are-its-types-and-uses) - 2 comments
- [Is never bounce free?](https://www.g2.com/discussions/briteverify-is-never-bounce-free) - 1 comment
- [What is litmus email testing?](https://www.g2.com/discussions/what-is-litmus-email-testing) - 1 comment

### [IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews)

IBM Watson Studio on IBM Cloud Pak for Data is a leading data science and machine learning solution that helps enterprises accelerate AI-powered digital transformation. It allows businesses to scale trustworthy AI and optimize decisions. Build, run, and manage AI models on any cloud through an automated end-to-end AI lifecycle--simplifying experimentation and deployment, speeding up data exploration and preparation, and improving model development and training. Govern and monitor models to mitigate drift and bias, and manage model risk. Build a ModelOps practice that synchronizes application and model pipelines to operationalize responsible, explainable AI across your enterprise. As a key offering of IBM Cloud Pak for Data, a unified data and AI platform, Watson Studio integrates seamlessly with data management services, data privacy and security capabilities, AI application tooling, open source frameworks, and a robust technology ecosystem. It unites teams and empowers businesses to build the modern information architecture that AI requires and infuse it across the organization. IBM Watson Studio is code-optional, allowing both data scientists and business analysts to work on the same platform by providing the best of open source tools along with visual, drag-and-drop capabilities. It enables organizations to tap into data assets and inject predictions into business processes and modern applications—helping them maximize their business value. It's suited for hybrid multicloud environments that demand mission-critical performance, security, and governance. Features include: • AutoAI that eliminates time-consuming, repetitive tasks by automating data preparation, model development, feature engineering and hyperparameter optimization. • Text Analytics for uncovering insights from unstructured data • Drag-and-drop visual model-building with SPSS Modeler • Broad data access – flat files, spreadsheets, major relational databases • Sophisticated graphics engine for building stunning visualizations • Support for Python 3 Notebooks Watson Studio is available via several deployment options: • IBM Cloud Pak for Data – An open, extensible data and AI platform that runs on any cloud • IBM Cloud Pak for Data System – A hybrid cloud, on-premises platform-in-a-box • IBM Cloud Pak for Data as a Service – A set of IBM Cloud Pak for Data platform services fully managed on the IBM Cloud

**Average Rating:** 4.2/5.0

**Total Reviews:** 164

#### How Do G2 Users Rate IBM Watson Studio?

- **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.2/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 9.0/10 (Category avg: 8.6/10)
- **Data Joining:** 9.1/10 (Category avg: 8.9/10)

#### Who Is the Company Behind IBM Watson Studio?

- **Seller:** [IBM](https://www.g2.com/sellers/ibm)
- **Year Founded:** 1911
- **HQ Location:** Armonk, New York, United States
- **Twitter:** @IBMSecurity  
74,660 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=14b544adaece4fdbc987f1d7f7028048c22259946811200cc751263825586af9&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1009%2F&secure%5Burl_type%5D=linkedin_company_website)  
328,202 employees on LinkedIn®
- **Ownership:** SWX:IBM

#### Who Uses This Product?

- **Who Uses This:** Software Engineer, CEO
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 31% Small

#### What Do G2 Reviewers Say About IBM Watson Studio?

_AI-generated summary from verified user reviews_

##### Pros

- Users admire the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work and streamlining data projects.
- Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing time spent on manual data tasks.
- Users appreciate the **user-friendly interface** of IBM Watson Studio, facilitating seamless integration and efficient project collaboration.
- Users appreciate the **Auto AI capability** of IBM Watson Studio, significantly reducing manual work in data preprocessing.
- Users appreciate the **easy AI integration** in IBM Watson Studio, significantly enhancing their data science and ML workflows.

##### Cons

- Users find the **high cost** of IBM Watson Studio challenging, especially for individuals and small startups.
- Users find the **steep learning curve** of IBM Watson Studio challenging, making it difficult for beginners to navigate.
- Users experience a **steep learning curve** with IBM Watson Studio, making it challenging for beginners to navigate its features.
- Users find the **complex interface** of IBM Watson Studio challenging, particularly for those just starting out.
- Users find the **steep learning curve** of IBM Watson Studio challenging, particularly for beginners navigating its complex features.

#### What Are Recent G2 Reviews of IBM Watson Studio?

**["All-in-One Data Science Platform That’s Beginner-Friendly"](https://www.g2.com/survey_responses/ibm-watson-studio-review-12610720)**

**Rating:** 4.5/5.0 stars

_— Kodam S._

[Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12610720)

**["Robust Platform for Seamless Data Science Collaboration"](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)**

**Rating:** 4.5/5.0 stars

_— Naimish M._

[Read full review](https://www.g2.com/survey_responses/ibm-watson-studio-review-12313951)

#### What Are G2 Users Discussing About IBM Watson Studio?

- [What is IBM Watson Studio used for?](https://www.g2.com/discussions/what-is-ibm-watson-studio-used-for) - 1 upvote
- [What are the main benefits of using AutoAI in IBM Watson Studio?](https://www.g2.com/discussions/what-are-the-main-benefits-of-using-autoai-in-ibm-watson-studio)
- [Is IBM Watson Studio free?](https://www.g2.com/discussions/is-ibm-watson-studio-free)
- [How do I use IBM Watson Studio?](https://www.g2.com/discussions/how-do-i-use-ibm-watson-studio)
- [What does IBM Watson Studio do?](https://www.g2.com/discussions/what-does-ibm-watson-studio-do)

### [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews)

Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](-%09https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D)

**Average Rating:** 4.4/5.0

**Total Reviews:** 762

#### How Do G2 Users Rate Qlik Sense?

- **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 9.1/10)
- **Data Joining:** 10.0/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Qlik Sense?

- **Seller:** [Qlik](https://www.g2.com/sellers/qlik)
- **Year Founded:** 1993
- **HQ Location:** Radnor, PA
- **Twitter:** @qlik  
64,130 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=cd147c14c7daf80e08bf113d2cae24ca3693e49a87c147350c31e8b0961c7297&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F10162%2F&secure%5Burl_type%5D=linkedin_company_website)  
4,551 employees on LinkedIn®
- **Phone:** 1 (888) 994-9854

#### Who Uses This Product?

- **Who Uses This:** Consultant, Analyst
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 41% Large, 40% Medium

#### What Do G2 Reviewers Say About Qlik Sense?

_AI-generated summary from verified user reviews_

##### Pros

- Users love the **ease of use** in Qlik Sense, enhancing their productivity with minimal IT support needed.
- Users commend the **robust data visualization capabilities** of Qlik Sense, enhancing insights with its user-friendly interface.
- Users appreciate the **rapid development capabilities** of Qlik Sense, enabling quick creation and deployment of analytics applications.
- Users value the **robust data visualization capabilities** of Qlik Sense, enhancing their insights and business strategies.
- Users value the **versatile and user-friendly tools** in Qlik Sense, enhancing data representation and insights across levels.

##### Cons

- Users find the **limited features** of Qlik Sense restrict their ability to create custom visualizations effectively.
- Users find the **missing features** in Qlik Sense restrictive, particularly lacking personal object additions and static report options.
- Users find Qlik Sense **expensive** , which limits its accessibility despite its capabilities.
- Users note the **limited automation in data updates** and desire better organization and visualization capabilities in Qlik Sense.
- Users find the **learning curve steep** , especially with scripting functions and integration challenges for beginners.

#### What Are Recent G2 Reviews of Qlik Sense?

**["Visually Stunning, Excel-Like Ease on Web"](https://www.g2.com/survey_responses/qlik-sense-review-12727600)**

**Rating:** 4.0/5.0 stars

_— Adnan J._

[Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600)

**["Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model"](https://www.g2.com/survey_responses/qlik-sense-review-12963425)**

**Rating:** 4.5/5.0 stars

_— Suman K._

[Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425)

#### What Are G2 Users Discussing About Qlik Sense?

- [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for)
- [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for)
- [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment
- [Is qlik sense good?](https://www.g2.com/discussions/is-qlik-sense-good) - 1 comment
- [What can qlik sense do?](https://www.g2.com/discussions/what-can-qlik-sense-do) - 1 comment

### [AWS Glue](https://www.g2.com/products/aws-glue/reviews)

AWS Glue is a serverless data integration service that makes it easier for analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application develop-ment. You can discover and connect to 70+ diverse data sources, manage your data in a centralized data catalog, and visually create, run, and monitor ETL pipelines to load data into your data lakes. You can im-mediately search and query catalogued data using Amazon Athena, Amazon EMR, and Amazon Redshift Spectrum.

**Average Rating:** 4.3/5.0

**Total Reviews:** 194

#### How Do G2 Users Rate AWS Glue?

- **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 8.4/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.4/10 (Category avg: 8.6/10)
- **Data Joining:** 8.8/10 (Category avg: 8.9/10)

#### Who Is the Company Behind AWS Glue?

- **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd)
- **Year Founded:** 2006
- **HQ Location:** Seattle, WA
- **Twitter:** @awscloud  
2,232,483 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=072881eee28a2afe24f8d1bda9f20e3e146b9fb4b214f216411ce2ed6898b31e&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Famazon-web-services%2F&secure%5Burl_type%5D=linkedin_company_website)  
147,094 employees on LinkedIn®
- **Ownership:** NASDAQ: AMZN

#### Who Uses This Product?

- **Who Uses This:** Data Engineer, Software Engineer
- **Top Industries:** Information Technology and Services, Computer Software
- **Company Size:** 49% Large, 29% Medium

#### What Do G2 Reviewers Say About AWS Glue?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of AWS Glue, finding it simple for data preparation and ETL operations.
- Users value the **s seamless data integration** capabilities of AWS Glue, enhancing efficiency across analytics and application development.
- Users appreciate the **fully managed ETL service** of AWS Glue, enjoying seamless integration and ease of use.
- Users appreciate the **versatile functionality** of AWS Glue, simplifying data discovery, preparation, and analytics integration.
- Users appreciate the **ease of implementation** and effective support of AWS Glue for seamless data integration and error tracing.

##### Cons

- Users experience **slow performance** with AWS Glue, particularly in startup times and complex debugging processes.
- Users face **difficulties in debugging** AWS Glue due to unclear error messages and a steep learning curve.
- Users often face **difficult debugging** with AWS Glue, as error messages are not always clear and can be frustrating.
- Users experience **performance issues** with AWS Glue, such as slow startup times and complex debugging processes.
- Users note that **AWS Glue can be time-consuming** due to slow startup times and complex debugging processes.

#### What Are Recent G2 Reviews of AWS Glue?

**["Serverless ETL Made Easy with AWS Glue"](https://www.g2.com/survey_responses/aws-glue-review-12864874)**

**Rating:** 5.0/5.0 stars

_— mani s._

[Read full review](https://www.g2.com/survey_responses/aws-glue-review-12864874)

**["AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration"](https://www.g2.com/survey_responses/aws-glue-review-12380790)**

**Rating:** 4.5/5.0 stars

_— Pradip G._

[Read full review](https://www.g2.com/survey_responses/aws-glue-review-12380790)

#### What Are G2 Users Discussing About AWS Glue?

- [What is AWS Glue and how it works?](https://www.g2.com/discussions/what-is-aws-glue-and-how-it-works) - 1 comment
- [What does AWS Glue do?](https://www.g2.com/discussions/what-does-aws-glue-do) - 2 comments
- [What are the main components of AWS Glue?](https://www.g2.com/discussions/what-are-the-main-components-of-aws-glue) - 2 comments
- [What are the features of glue?](https://www.g2.com/discussions/what-are-the-features-of-glue) - 1 comment

### [OWOX](https://www.g2.com/products/owox/reviews)

OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you!

**Average Rating:** 4.9/5.0

**Total Reviews:** 290

#### How Do G2 Users Rate OWOX?

- **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.1/10)

#### Who Is the Company Behind OWOX?

- **Seller:** [OWOX](https://www.g2.com/sellers/owox)
- **Year Founded:** 2002
- **HQ Location:** WALNUT, California
- **Twitter:** @owox  
435 Twitter followers
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=ee72c8f3a2f9195ba2e32b60c5801ad9e8bb90135f3c82058e174290a51247ed&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2F1721152%2F&secure%5Burl_type%5D=linkedin_company_website)  
67 employees on LinkedIn®

#### Who Uses This Product?

- **Who Uses This:** Chief Marketing Officer, CEO
- **Top Industries:** Marketing and Advertising, Information Technology and Services
- **Company Size:** 48% Small, 43% Medium

#### What Do G2 Reviewers Say About OWOX?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **ease of use** of OWOX, finding it reliable and quick to implement without issues.
- Users appreciate the **excellent support team** and flexibility of OWOX in addressing their unique needs.
- Users value the **transparency and accessibility of data ownership** with OWOX, enhancing their data management capabilities.
- Users value the **excellent customer support** from OWOX, appreciating their responsiveness and ongoing assistance.
- Users value the **ease of use and insightful analytics** of OWOX, significantly enhancing their data-driven decisions.

##### Cons

- Users face **data management issues** with OWOX, highlighting bugs and scheduling reliability concerns affecting their experience.
- Users face **error handling challenges** with OWOX, often requiring dedicated resources for troubleshooting and issue resolution.
- Users find the **pricing structure expensive** , wishing for more affordable options to enhance their experience.
- Users feel the **integration issues** with third-party apps hinder the overall functionality of OWOX.
- Users desire more **step-by-step instructions** and greater reliability in scheduling features for OWOX.

#### What Are Recent G2 Reviews of OWOX?

**["Nice team and Tracking & Attribution Solution"](https://www.g2.com/survey_responses/owox-review-9851467)**

**Rating:** 4.5/5.0 stars

_— Serhii K._

[Read full review](https://www.g2.com/survey_responses/owox-review-9851467)

**["Simple and helpful"](https://www.g2.com/survey_responses/owox-review-9843178)**

**Rating:** 5.0/5.0 stars

_— Verified User in Computer Software_

[Read full review](https://www.g2.com/survey_responses/owox-review-9843178)

#### What Are G2 Users Discussing About OWOX?

- [What is OWOX BI used for?](https://www.g2.com/discussions/what-is-owox-bi-used-for) - 1 comment

### [Savant Labs](https://www.g2.com/products/savant-labs/reviews)

Savant is an AI workflow automation platform built for enterprise finance, tax, and accounting teams. It turns messy, manual data work like extraction, preparation, reconciliation, and reporting into centrally governed, audit-ready workflows, driving efficiency without sacrificing accuracy, control, or compliance. Savant integrates with your preferred LLM, including Claude, Copilot, ChatGPT, and private LLMs, so you control model choice, data residency, and cost. Ask in plain language for the workflow you want to build, or simply say "run this month's reconciliation," and Savant turns that instruction into a repeatable, governed, auditable workflow. Trusted by Fortune 500 enterprises, Savant catches errors before they're filed, ensures audit readiness without the scramble, and gives finance teams their time back. WHAT SETS SAVANT APART Unlike general-purpose AI tools or legacy analytics platforms, Savant was built specifically for finance workflows where 99% accuracy isn't good enough — because 1% errors at scale become audit findings, restatements, and compliance exposure. Three things make Savant different - Deterministic, not probabilistic: Savant uses rule-based AI agents, not LLM guesses. Consistent inputs produce consistent outputs. - Governance and auditability are built in, not bolted on: Audit trail, data lineage, SOX controls, role-based access, and evidence packs are standard, not add-ons. - Handles the data other tools can't: Native processing for PDFs, scanned documents, and invoices — the unstructured data that breaks legacy workflows. KEY FEATURES - AI-powered workflow automation: Automate any workflow end to end — financial reconciliation, month-end close, tax provisioning, accruals, and more. Works with structured and unstructured data, including PDFs, scanned documents, and ERP extracts. - Reproducible results: AI agents follow step-by-step logic with validation at each stage. Same inputs produce the same outputs, every time — no black boxes, no probabilistic guesses. - Built-in audit trail, data lineage, and evidence packs: Every workflow step is logged automatically. Complete data lineage from source to output. No manual documentation, no reconstructing steps across email chains. - SOX compliance by design: Segregation of duties, version control, approval management, and user activity history are built in from day one. - Human-in-the-loop exception handling: Savant proactively flags exceptions for human review, allowing analysts to catch errors before they reach a filing. The AI learns from human judgments over time. - 500+ enterprise connectors: Connect to your existing ERPs, CRMs, BI platforms, file systems, email, and more out of the box. - Enterprise-grade security: SOC 2 Type II, SOC 1 Type II, ISO 27001. SSO/SAML, role-based access control, private cloud and VPC deployment available. USE CASES - Month-end and year-end close automation - Financial reconciliations and tie-outs - Tax provision preparation - State apportionment calculations - Sales and use tax reconciliation - Data extraction from PDFs, invoices, and scanned documents - ERP data consolidation across multiple systems - Intercompany accounting and multi-entity reporting - Audit evidence package preparation - Recurring reporting and dashboard publishing

**Average Rating:** 4.7/5.0

**Total Reviews:** 51

#### How Do G2 Users Rate Savant Labs?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 9.3/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 8.0/10 (Category avg: 8.6/10)
- **Data Joining:** 9.4/10 (Category avg: 8.9/10)

#### Who Is the Company Behind Savant Labs?

- **Seller:** [Savant Labs](https://www.g2.com/sellers/savant-labs)
- **Company Website:** www.savantlabs.io
- **Year Founded:** 2021
- **HQ Location:** San Francisco, California
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=5dcb585c5245667215a14c13aa5332e041e2aa08dcb405a69812a52bc310dd41&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fsavant-labs&secure%5Burl_type%5D=linkedin_company_website)  
61 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Computer Software, Logistics and Supply Chain
- **Company Size:** 42% Large, 40% Medium

#### What Do G2 Reviewers Say About Savant Labs?

_AI-generated summary from verified user reviews_

##### Pros

- Users commend the **ease of use** in Savant Labs, enabling seamless analytics without requiring extensive knowledge.
- Users appreciate the **friendly customer support** from Savant Labs, which provides timely assistance for any issues encountered.
- Users praise the **user-friendly interface** of Savant Labs, making complex data analytics accessible to everyone.
- Users enjoy the **easy integration** capabilities of Savant Labs, simplifying workflows and enhancing data connectivity effortlessly.
- Users highlight the **easy integrations** of Savant Labs, allowing seamless connectivity with various data sources effortlessly.

##### Cons

- Users note a **steep learning curve** with Savant Labs, often struggling with data source updates and tool integration.
- Users experience a **steep learning curve** with Savant Labs, making it challenging to master effectively.
- Users often face **integration issues** , struggling with data updates and lacking clear instructions for linking tools effectively.
- Users face **access issues** with Savant Labs, struggling to log in and navigate complex features and tools.
- Users face **data management challenges** , struggling with updating sources and lack of clear guidance in Savant Labs.

#### What Are Recent G2 Reviews of Savant Labs?

**["Faster close + auditors actually trust our process now"](https://www.g2.com/survey_responses/savant-labs-review-12941283)**

**Rating:** 5.0/5.0 stars

_— Lawrence M._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12941283)

**["Automated sales tax reconciliation and significantly shortened month-end close"](https://www.g2.com/survey_responses/savant-labs-review-12942104)**

**Rating:** 5.0/5.0 stars

_— Marlene S._

[Read full review](https://www.g2.com/survey_responses/savant-labs-review-12942104)

### [DataGroomr](https://www.g2.com/products/datagroomr/reviews)

DataGroomr is the leading AI-powered Salesforce data quality platform, helping organizations identify duplicates, merge records, standardize data, enrich information, verify accuracy, and automate ongoing data maintenance all from a single, easy-to-use solution. Clean, reliable data is essential for sales, marketing, customer support, operations, and finance teams. Yet duplicate records, incomplete information, inconsistent formats, and outdated data continue to create costly challenges that impact productivity, reporting accuracy, customer experiences, and business decisions. DataGroomr solves these challenges with advanced artificial intelligence that continuously monitors and improves Salesforce data quality. Unlike traditional tools that depend on complex matching rules and ongoing maintenance, DataGroomr uses AI-powered matching to accurately identify duplicate records across Accounts, Contacts, Leads, and other Salesforce objects with little to no configuration required. The platform helps organizations uncover more duplicates with greater accuracy, merge records safely and efficiently, automate deduplication processes, and prevent new duplicates from entering Salesforce. Intelligent matching continuously learns from data patterns and user actions to improve performance over time. Beyond duplicate management, DataGroomr provides comprehensive data quality capabilities including data standardization, email, phone, and address verification, and agentic data enrichment. Teams can fill in missing information, improve record completeness, maintain consistent formatting, and ensure customer and prospect data remains accurate and actionable. DataGroomr also supports key Salesforce workflows, including lead conversion, bulk record management, and import preparation. Organizations can identify and resolve data quality issues before they impact users, reports, automations, integrations, or downstream systems. With powerful automation, intuitive workflows, and real-time visibility into data quality health, DataGroomr makes it easy to establish and maintain trusted Salesforce data at scale. Customers benefit from improved user confidence, more accurate reporting, stronger operational efficiency, and better business outcomes. Trusted by organizations of all sizes and backed by exceptional customer support, DataGroomr delivers a smarter, simpler approach to Salesforce data quality, helping teams spend less time fixing data and more time using it. Start your free trial at: http://www.datagroomr.com

**Average Rating:** 4.8/5.0

**Total Reviews:** 35

#### How Do G2 Users Rate DataGroomr?

- **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 9.1/10)
- **Data Workflows:** 8.9/10 (Category avg: 8.9/10)
- **Profiling and Classification:** 9.1/10 (Category avg: 8.6/10)
- **Data Joining:** 8.3/10 (Category avg: 8.9/10)

#### Who Is the Company Behind DataGroomr?

- **Seller:** [DataGroomr](https://www.g2.com/sellers/datagroomr)
- **Year Founded:** 2018
- **HQ Location:** Philadelphia, PA
- **LinkedIn® Page:** [www.linkedin.com](https://www.g2.com/external_clickthroughs/record?secure%5Bsource_type%5D=product_profile&secure%5Btoken%5D=b4d115d863891aad98d64e725ab9fd5a37eeb513177aaf0175d0da543cdd500c&secure%5Burl%5D=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fdatagroomr%2F&secure%5Burl_type%5D=linkedin_company_website)  
6 employees on LinkedIn®

#### Who Uses This Product?

- **Top Industries:** Non-Profit Organization Management
- **Company Size:** 63% Medium, 20% Small

#### What Do G2 Reviewers Say About DataGroomr?

_AI-generated summary from verified user reviews_

##### Pros

- Users appreciate the **granular approach to duplicate management** in DataGroomr, finding it essential for Salesforce maintenance.
- Users appreciate the **user-friendly interface** of DataGroomr, making duplicate management in Salesforce effortless and efficient.
- Users praise the **excellent customer support** from DataGroomr, noting quick responses and attentive assistance during onboarding.
- Users value the **intuitive interface** of DataGroomr, appreciating its user-friendly design for efficient duplicate management.
- Users praise the **seamless Salesforce integration** of DataGroomr for efficient duplicate record management and support.

##### Cons

- Users note a **steep learning curve** for DataGroomr, requiring time to master its features effectively.
- Users note that there's a **learning curve** with DataGroomr, making it complex for new users to grasp quickly.
- Users caution about a **difficult learning curve** , emphasizing the need for time to master DataGroomr's features effectively.
- Users find the **difficult setup** challenging, especially with strict rules and customized mappings, but support is helpful.
- Users face a **learning difficulty** with DataGroomr, requiring time to grasp its complex logic and features.

#### What Are Recent G2 Reviews of DataGroomr?

**["Great Dashboard and AI Rule Generation That Speeds Up Data Cleaning"](https://www.g2.com/survey_responses/datagroomr-review-12264292)**

**Rating:** 5.0/5.0 stars

_— John G._

[Read full review](https://www.g2.com/survey_responses/datagroomr-review-12264292)

**["Reliable and efficient tool for Salesforce data management"](https://www.g2.com/survey_responses/datagroomr-review-11574634)**

**Rating:** 5.0/5.0 stars

_— Jimmy L._

[Read full review](https://www.g2.com/survey_responses/datagroomr-review-11574634)

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[Browse Data Preparation Themes](/categories/data-preparation/themes)

 ![Shalaka Joshi](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Shalaka Joshi")
SJ

Researched and written by [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)

Updated October 29, 2024

Data preparation software tools assists in the process of discovering, blending, combining, cleansing, enriching, and transforming data so large datasets can be easily integrated, consumed, and analyzed with business intelligence and analytics solutions. Data preparation tools provide IT departments, data analysts, data scientists, and average business users a platform to integrate disparate data sources in a quick and efficient way. It makes for a much smoother analysis experience when businesses attempt to extract actionable insights from their data. Many data preparation solutions offer the functionality of [data governance software](https://www.g2.com/categories/data-governance), metadata management, and machine learning features. Data preparation is necessary to improve data quality.

Data preparation services are used by data-driven companies that empower their employees to explore business data to enhance decision making and drive productive change. Data preparation platforms integrates with [analytics platforms](https://www.g2.com/categories/analytics-platforms) and other analytics tools to clean datasets that can be easily understood and acted upon. The integration with intelligence and analytical software helps in the actual analysis of the data. Data preparation tools may also be used in conjunction with [data integration software](https://www.g2.com/categories/data-integration) to make it easier when combining data sources.

Many business intelligence platforms and [self-service business intelligence software](https://www.g2.com/categories/business-intelligence) have data preparation capabilities. Additionally, data preparation functionality can be included in [data quality software](https://www.g2.com/categories/data-quality).

To qualify for inclusion in the Data Preparation category, a product must:

- Provide data preparation capabilities such as blending, combining, and transforming datasets for simple analysis and integration
- Provide cleansing and enrichment capabilities for a higher level of data quality
- Offer integrations with analytics and data integration solutions
- Exist as standalone software or in integration with an analytics platform, with clear mention of data preparation capabilities

Top Tools at a Glance

| Product | Best for | User Review |
| --- | --- | --- |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_34ebf6dfa7d511442315c3ec17dea9f5/tableau.png "Product Avatar Image")](https://www.g2.com/products/tableau/reviews)[Tableau](https://www.g2.com/products/tableau/reviews)[4.4/5(3,790)](https://www.g2.com/products/tableau/reviews) | Drag-and-drop data prep for multi-source dashboards | "Clear data means quick decisions." |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2c6c77d8284b2f6609c2f9dc0ba6b5a9/alteryx.png "Product Avatar Image")](https://www.g2.com/products/alteryx/reviews)[Alteryx](https://www.g2.com/products/alteryx/reviews)[4.6/5(895)](https://www.g2.com/products/alteryx/reviews) | No-code multi-source ETL workflow automation | "Makes Data Prep Faster with an Intuitive Drag-and-Drop Workflow" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_c3e4922bb6835a32854c1dead2cda2bb/sas-sas-viya.jpg "Product Avatar Image")](https://www.g2.com/products/sas-sas-viya/reviews)[SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)[4.3/5(817)](https://www.g2.com/products/sas-sas-viya/reviews) | End-to-end data prep with no-code pipelines | "SAS Viya: Powerful AI & Data Analysis with Seamless Integrations" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8ef2fed795a3ce0717d8b4925583871c/domo.jpg "Product Avatar Image")](https://www.g2.com/products/domo/reviews)[Domo](https://www.g2.com/products/domo/reviews)[4.3/5(1,089)](https://www.g2.com/products/domo/reviews) | No-code multi-source ETL and transformation | "Domo Turns Disconnected Reports Into a Game-Changing Sales Scorecard" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b1df0084b05b72537afc19b4a0dfcca5/hubspot-data-hub.png "Product Avatar Image")](https://www.g2.com/products/hubspot-data-hub/reviews)[HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews)[4.5/5(578)](https://www.g2.com/products/hubspot-data-hub/reviews) | HubSpot-native CRM data deduplication and cleansing | "HubSpot Data Hub Keeps Customer Data Clean and Centralized" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_017ca5b65bc8cc79fa434f2716af16ee/dbt.png "Product Avatar Image")](https://www.g2.com/products/dbt/reviews)[dbt](https://www.g2.com/products/dbt/reviews)[4.7/5(209)](https://www.g2.com/products/dbt/reviews) | SQL-based ELT transformation with version-controlled lineage | "dbt Streamlines Data Pipelines with Powerful Incremental and SCD2 Features" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8de58e0d16764c20939567ebd7386a4a/incorta.png "Product Avatar Image")](https://www.g2.com/products/incorta/reviews)[Incorta](https://www.g2.com/products/incorta/reviews)[4.4/5(59)](https://www.g2.com/products/incorta/reviews) | Multi-source ELT with no-code data modeling | "Great platformand support" |
| [![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_5015a6ccbbe12278ba4392c1c0d806be/ibm-watson-studio.png "Product Avatar Image")](https://www.g2.com/products/ibm-watson-studio/reviews)[IBM Watson Studio](https://www.g2.com/products/ibm-watson-studio/reviews)[4.2/5(170)](https://www.g2.com/products/ibm-watson-studio/reviews) | End-to-end ML data preparation with AutoAI | "Robust Platform for Seamless Data Science Collaboration" |

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### Data Preparation Topics

- [What are data preparation tools and software?](#what-are-data-preparation-tools-and-software)
- [Key benefits of using data preparation tools](#key-benefits-of-using-data-preparation-tools)
- [Why use data preparation solutions?](#why-use-data-preparation-solutions)
- [Who uses data prep tools?](#who-uses-data-prep-tools)
- [Features of data preparation software solutions](#features-of-data-preparation-software-solutions)
- [Software and services related to data preparation software](#software-and-services-related-to-data-preparation-software)
- [How to choose the best data preparation tool](#how-to-choose-the-best-data-preparation-tool)
- [Data Preparation Software FAQs](#data-preparation-software-faqs)
- [Most Popular FAQs](#most-popular-faqs)
- [Small Business FAQs](#small-business-faqs)
- [Enterprise FAQs](#enterprise-faqs)

[
### Data Preparation Topics
 Expand/Collapse ](#)
- [What are data preparation tools and software?](#what-are-data-preparation-tools-and-software)
- [Key benefits of using data preparation tools](#key-benefits-of-using-data-preparation-tools)
- [Why use data preparation solutions?](#why-use-data-preparation-solutions)
- [Who uses data prep tools?](#who-uses-data-prep-tools)
- [Features of data preparation software solutions](#features-of-data-preparation-software-solutions)
- [Software and services related to data preparation software](#software-and-services-related-to-data-preparation-software)
- [How to choose the best data preparation tool](#how-to-choose-the-best-data-preparation-tool)
- [Data Preparation Software FAQs](#data-preparation-software-faqs)
- [Most Popular FAQs](#most-popular-faqs)
- [Small Business FAQs](#small-business-faqs)
- [Enterprise FAQs](#enterprise-faqs)

## Learn More About Data Preparation Software

### What are data preparation tools and software?
 

The amount of data companies collect is staggering. Even a mid-sized business can quickly generate millions of raw data points about its customers, business, and technology performance. As a company’s analytics multiply, proper data management can become insurmountable for even the most seasoned data prep expert — not to mention companies without a specialist on hand. Data prep tools are designed to rummage through this pile of data and aggregate relevant insights for users. These tools are increasingly valuable and necessary for businesses with an endless influx of large data sets. These tools help draw valuable conclusions about important data points through the noise of excess information.

 

A popular term for this process is called data wrangling. Data wrangling evokes the full capabilities of these tools. They can mine useful, relevant analytics from an overwhelming stream of different data sources. Modern businesses must make timely, critical decisions in response to the diverse insights generated by these data wrangling tools. Among the teams making those calls, marketing departments increasingly rely on data prep to keep customer and campaign data clean. The best data preparation platforms for marketing directors tend to be the ones that plug directly into the CRM and analytics tools the team already uses. These tools compile real-time analytics about product users, sales numbers, system performance, and more. The tools in this emerging space help streamline the data preparation process, gleaning precise information from large data sets. As a business’s data piles up, data prep tools enable users to find important data points with the push of a button. This way, companies can leverage actionable insights immediately without sorting through hours of data.

 

### Key benefits of using data preparation tools
 
- Performing comprehensive scans of large data sets from disparate data sources
- Profiling relevant data based on custom workflows and filters
- Blending actionable data from large, distributed sets into a clean, optimized file
- Enabling faster, more accurate analysis of relevant information without the need for manual combing of databases

 

### Why use data preparation solutions?
 

In the early days of analytics, a small team would be responsible for manually preparing data — managing quality assurance for an entire company’s database, and pulling together actionable insights. This is still the case for thousands of organizations across multiple industries. As technology advances, the volume of unstructured data has grown immensely. People generate more data than businesses know what to do with, creating a unique and unprecedented challenge for data science experts and executives trying to make sense of the analytics. Data prep technology was created out of this growing necessity, with the ability to pick through massive amounts of unstructured data and present only the data points that matter for a given scenario. This relieves IT specialists of this strenuous task and makes an impossible amount of data more digestible.

 

In addition to finding, profiling, and combining data based on user specifications, certain solutions in this category assist with data transformation or converting data types into different forms or structures for analysis purposes. This creates a unified view of the most relevant analytics for convenient analysis and eventual exporting into external systems. Just as the amount of data has increased in recent years, so has the variety of data types, formats, and sources. Data preparation platforms work to identify or profile the most valuable data across these various types and deliver it in the most useful way for each new scenario. These advanced tools can save employees time while creating opportunities with previously unattainable data, especially if a business has an extensive portfolio of data sources.

 

### Who uses data prep tools?

The solutions in this category benefit companies with a substantial pool of data and a complex network of data sources. For smaller companies in certain industries, data prep may still be a manual process that does not require new technology. However, since many organizations utilize various types of software and third-party partnerships, they generate mountains of data on a daily basis. As a result, more and more businesses are eligible for these tools.

The following teams or individuals will most likely use these solutions in a given organization.

**IT specialists —** If a company has an IT department, these employees are the most logical choice for general data and test data preparation. IT specialists already have a comprehensive view of the computer systems and software platforms used across an organization. They may already be the primary owners of analytics tasks such as data enrichment and data cleaning. The analytics platforms featured in this category empower IT specialists to expedite the quality assurance process and create clean data sets for internal use or to be shared across their organization.

**Data analysts and engineers —** As the data realm has swelled in size, tech-forward companies have started to seek designated employees to collect and draw conclusions from company analytics. These data analyst roles are typical in organizational structures and third-party agency settings, such as [data governance services providers](https://www.g2.com/categories/data-governance-services). Whether employed with one of these firms or on a company’s full-time staff, data specialists benefit from one of the tools in this space. In some cases, data prep will be a daily responsibility in this line of work. Pulling various data sets for additional analysis or tests and using the results to influence business outcomes emphasizes the impact this technology can have on a given organization. The correct data prep solution can be an indispensable asset for data engineers, analytics executives, and others with a strong focus on data work.

### Features of data preparation software solutions

Based on G2 reviews, IT specialists and data analysts evaluate data preparation software by comparing workflow visibility, data profiling depth, and BI integration ease. The robust tools in this software category offer a diverse range of functionalities related to the process of data preparation. The following are some prominent features of these unique offerings.

**Workflow scheduling and monitoring —** Depending on the intended use of these tools, employees may want to map out an automated query to prepare certain groupings of data regularly. This might involve a custom data flow builder or a similar user interface for customization. Using these tools, administrators can adjust the specific details of each workflow, including analytics filters, which sources to pull from, and the schedule for executing the query. A company may be able to adjust other components of the process, such as validation details and the destination for exporting finished data sets. Dashboards on some tools can help display analytics related to data prep workflows, including general efficiency and results summaries.

As a company creates data prep queries, whether for one-off events or routine workflows, a company may be able to configure the data blending and joining process as it relates to each function. Data blending is another common term used to describe the merging of analytics from separate sets into a cohesive group to draw conclusions and continued analysis. When configuring the intelligent algorithms on these platforms, companies can specify how they want the data joined together and presented, for instance, which data type they prefer and how the data should be ordered. Whether called data preparation, data wrangling, or data blending, the solutions in this category can assist with this increasingly popular business strategy to help bring divergent analytics together for a unified purpose.

**Data profiling —** Once the intended analytics are pulled and organized using these tools, certain platforms can assess the data and help determine the additional purposes it can be used for. This is also known as data profiling. Some tools in this category offer more powerful profiling features than others, allowing for rich analytics and summaries about prepared data sets as they are constructed. If data profiling features are not present, a company might assign certain data analysts or other specialists to profile the finished data sets and determine the best course of action to take as the results are delivered.

### Software and services related to data preparation software

Depending on the value an organization places on data and the scope of an organization’s technology infrastructure, the analytics lifecycle can be complex and demanding. The following solutions go hand in hand with data preparation tools in collecting, studying, and using company data. They can help an organization make data analysis both practical and rewarding.

[**Data visualization software**](https://www.g2.com/categories/data-visualization) **—** Data visualization is the process of turning valuable analytics into visuals that can be studied and shared as needed. Data visualization software lets users import database files and create eye-catching charts and graphs displaying certain findings or data selections in an accessible format. Data preparation platforms often integrate with certain data visualization tools, allowing for prepared data to be quickly and seamlessly converted into dashboards, interactive graphs, or other visual files. Whether a department is presenting company-wide KPIs or complex insights for specific teams or business partners, these solutions are a practical way to make data presentable for others, allowing a company to highlight its findings as desired.

[**Business intelligence software**](https://www.g2.com/categories/business-intelligence) **—** Business intelligence software, or BI software, includes data visualization platforms and related technology for analyzing data and revealing the actionable insights scattered across giant pools of information. BI tools are increasingly essential for companies seeking to shape their business strategy around a steady data flow. Many of the tools in these categories require IT assistance for implementation and connecting disparate sources into a functional analytics architecture. Once this information network is established, businesses can leverage it in several ways, including self-service analytics and embedded analytics within business applications. BI tools can create a sturdy foundation of valuable data from multiple sources to build a data preparation strategy and utilize a solution from the data preparation category.

[**Data warehouse software**](https://www.g2.com/categories/data-warehouse) **—** Data warehouse software provides a reliable storage hub for the collective data generated across an organization, from the sales department to the software testing team. Analytics tools such as data prep software often sync with an internal data warehouse to analyze large data sets without providing separate storage for these large, critical files. A data infrastructure may require several solutions for companies with many moving parts, each with its specific function. Data warehouses provide secure storage for these massive data files as they expand, freeing up other data platforms to perform their respective functions with little interruption.

### How to choose the best data preparation tool

When selecting a data preparation tool, consider a few key factors to ensure it aligns with your unique data needs and organizational resources.

First, assess your data's complexity and your team's technical skill level. Some tools are better suited for advanced technical users with programming knowledge, while others are designed for ease of use, making them accessible to non-technical team members. Look for a tool that strikes the right balance between functionality and usability for your team.

Next, think about performance and scalability. As your data grows, your tool should be able to handle increased volumes without a dip in efficiency. Make sure the tool integrates smoothly with your existing infrastructure, such as cloud storage, data lakes, or on-premises systems, to avoid compatibility issues down the line.

Don’t overlook the specific needs of your data workflows. Consider how often your data is updated and whether you need real-time processing capabilities. Advanced features like data profiling, which helps uncover patterns and quality issues, or specialized data transformation options might be essential for more complex datasets. Evaluate these aspects carefully to ensure the tool meets your immediate and long-term data preparation needs.

By evaluating these factors, you’ll be well on your way to choosing a data preparation tool that meets your current requirements and can scale as your organization grows.

### Data Preparation Software FAQs

### Most Popular FAQs

#### Which data preparation software has the best reviews?

Across the Data Preparation category, the strongest ratings tend to go to platforms that keep data cleanup visual and easy to trace, rather than a black box.

- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews): Carries a solid review base at a near-top rating, with a module-based design that makes debugging workflows straightforward.
- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): A smaller sample overall, but quick, straightforward implementation for deduplication work comes up consistently.
- [DemandTools](https://www.g2.com/products/demandtools/reviews): A modest review base so far, though its match and dedupe features come up as reasons it earns near-perfect satisfaction.

Among the most trusted data preparation tools, those with the deepest, most consistent review base tend to edge out platforms with a single standout rating but far fewer people vouching for them.

#### What are the best AI data preparation software options for mid-sized teams?

Within the[](https://www.g2.com/categories/data-preparation/mid-market)[mid-market segment of Data Preparation](https://www.g2.com/categories/data-preparation/mid-market), the platforms that stand out combine AI-assisted cleanup with a team size that doesn't need a dedicated data engineering group.

- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews): Built-in data sync tools and duplicate management centralize customer data automatically, without needing overly technical setup.
- [Pecan](https://www.g2.com/products/pecan/reviews): An AI assistant helps semi-technical users explore and groom data directly, backed by a customer success team that's genuinely responsive.
- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews): Efficient AI models extract information from unstructured data and turn it into something usable for predictive models, without requiring a dedicated data science team to build that pipeline manually.

#### What is the best data preparation software?

The right answer depends on how a team plans to use the prepared data afterward, but a few platforms come up across a wide range of use cases.

- [Tableau](https://www.g2.com/products/tableau/reviews): The most widely reviewed platform in this category, with its VizQL engine turning raw data into visual output without forcing static, pre-calculated charts.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): A visual workflow lets users see data moving through each processing step, which doubles as built-in documentation for the whole pipeline.
- [Domo](https://www.g2.com/products/domo/reviews): Continually enhanced ETL tools and ample documentation keep workflows moving forward without waiting on a separate data team.

#### Which data preparation software integrates with BI platforms?

The clearest fits are the platforms built to feed cleanly into a BI layer rather than requiring a separate export step.

- [Domo](https://www.g2.com/products/domo/reviews): Connects with different platforms directly, with one reviewer calling its data transformation capabilities their favorite out of all the BI tools they've used.
- [dbt](https://www.g2.com/products/dbt/reviews): Integrates well with other tools by design, with a lineage feature that shows exactly how data flows before it reaches a BI layer.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Connects to nearly any data source, with each step of the workflow visible before the output reaches its target destination.

#### Which data preparation software offers the fastest processing speeds?

Speed here tends to matter most when a team is moving from a slow, delay-prone workflow to something that keeps pace with reporting deadlines.

- [Alteryx](https://www.g2.com/products/alteryx/reviews): Processes large data sets quickly, with reviewers noting it keeps performance steady on the sizable workflows it was built to handle.
- [DemandTools](https://www.g2.com/products/demandtools/reviews): Migrates thousands of records quickly and efficiently, saving significant time on data management tasks that would otherwise run in the background for hours.
- [Domo](https://www.g2.com/products/domo/reviews): One reviewer switched from a slower workflow specifically to escape constant delays and refresh issues waiting on datasets to be ready.

#### Which data preparation tools offer the most transparent insights into coverage gaps?

Transparency here usually comes down to whether a tool shows its work, surfacing exactly what data was pulled, transformed, or left out, rather than handing back a finished file with no visibility into how it got there.

- [dbt](https://www.g2.com/products/dbt/reviews) **:** Its lineage feature and auto-generated documentation let teams trace exactly how data flows and where transformations happen, with reviewers specifically citing this traceability as a reason scattered, inconsistent logic becomes easy to audit.
- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) **:** Its module-based, visual workflow design makes it straightforward to see and debug each step, which doubles as a running record of what's been covered and what hasn't.
- [Alteryx](https://www.g2.com/products/alteryx/reviews) **:** A visible workflow shows data moving through each processing step, giving teams a built-in way to spot where a data set falls short before it reaches a report.

#### What are the challenges in preparing customer reviews and competitive data for reporting?

The core challenge is the same one behind most data preparation work, customer review data and competitor data typically arrive from several different platforms in inconsistent formats, so blending them into one clean reporting view is the real task, not the reporting step itself.

- [Supermetrics](https://www.g2.com/products/supermetrics/reviews) **:** Reviewers describe connecting it to sources like SEMrush for competitive data and Google My Business alongside standard ad platforms, centralizing reports for multiple clients' digital properties into one place rather than pulling each source separately.
- [Domo](https://www.g2.com/products/domo/reviews) **:** Connects with different platforms directly, with reviewers citing its data transformation capabilities as a standout for pulling disparate sources into a single reporting view.
- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) **:** Built-in data sync and duplicate management centralize and clean customer data automatically, which applies directly to messy, multi-source review or competitive data just as it does to any other customer data set.

### Small Business FAQs

#### What is the most affordable data preparation software for SMBs?

Within the[](https://www.g2.com/categories/data-preparation/small-business)[small business segment of Data Preparation](https://www.g2.com/categories/data-preparation/small-business), a couple of platforms stand out specifically because they don't require a paid tier to get real value.

- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews): The desktop software is free, making it accessible even in environments that restrict cloud access.
- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): Posts strong price-to-value scores among small business reviewers, on top of a deduplication feature set that's easy to run daily.
- [Pecan](https://www.g2.com/products/pecan/reviews): Solid value ratings back up an AI assistant that helps a semi-technical user groom data without hiring a data specialist.

#### What is the best data preparation software for startups?

Startups evaluating[](https://www.g2.com/categories/data-preparation/small-business)[small business data preparation](https://www.g2.com/categories/data-preparation/small-business) tools tend to prioritize something a lean team can run without a dedicated data engineer.

- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): Implementation is quick and straightforward, letting a small team keep its system clean without an extended rollout.
- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews): Centralizes customer data from multiple sources without technical overhead, which matters when there's no data team to manage integrations manually.
- [Pecan](https://www.g2.com/products/pecan/reviews): A responsive customer success team helps a smaller organization get value from AI-assisted data prep without a big learning investment.

#### Which data preparation software is the most user-friendly for startups?

Ease of use matters most at this stage, since the person cleaning data is often the same person analyzing it afterward.

- [dbt](https://www.g2.com/products/dbt/reviews): Posts strong ease-of-use scores among small business reviewers, requiring only SQL knowledge to build different types of materializations.
- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews): A supportive community and company make knowledge sharing easy, which helps a small team get past the initial learning curve faster.
- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): Very easy to use on a daily basis by most accounts, even two years into ongoing use.

#### Which data preparation tool is easiest to set up for small teams?

Setup speed is one of the more differentiated ratings in this category, and small teams generally do best with a tool that's productive well before it needs to prove its value.

- [DemandTools](https://www.g2.com/products/demandtools/reviews): Posts some of the strongest setup scores among small business reviewers, with mass import and match features that work right out of the gate.
- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): Quick, straightforward implementation is one of the most commonly repeated points across its reviews.
- [Pecan](https://www.g2.com/products/pecan/reviews): A guided AI assistant shortens the setup curve for a semi-technical user exploring data for the first time.

#### Which data preparation tool is best for small teams working with CRM or spreadsheet data?

A meaningful share of this category's smaller-team use cases center on cleaning up CRM records or centralizing scattered spreadsheet data, not large-scale pipelines.

- [DemandTools](https://www.g2.com/products/demandtools/reviews): Dedupe and mass import features handle CRM record cleanup directly, with the match feature standing out as especially strong.
- [DataGroomr](https://www.g2.com/products/datagroomr/reviews): An excellent deduplication solution for keeping a CRM system clean, safely maintained by end users rather than a dedicated admin.
- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews): Centralizes information from multiple sources and cleans it automatically, which covers a lot of ground for a small team without a separate data warehouse.

#### Which data preparation tools are highest rated among small marketing agencies?

Agencies juggling several clients' reporting at once tend to favor platforms built around connecting many external data sources at once, rather than a general-purpose tool that treats each client's data as a separate one-off job.

- [Supermetrics](https://www.g2.com/products/supermetrics/reviews) **:** Its reviewer base includes a notable share of agency accounts specifically, with reviewers describing how it centralizes reporting and analysis across multiple clients' digital properties from a single place, and its segment mix spans small businesses through enterprise accounts.
- [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) **:** Centralizes and cleans customer data from multiple sources automatically, which suits a small agency managing several client accounts without a dedicated data specialist.
- [Domo](https://www.g2.com/products/domo/reviews) **:** Direct connections to many platforms and strong data transformation capabilities give a growing agency room to scale reporting without switching tools as client rosters grow.

### Enterprise FAQs

#### What is best-rated data preparation software for large enterprises?

Within the[](https://www.g2.com/categories/data-preparation/enterprise)[Enterprise segment of Data Preparation](https://www.g2.com/categories/data-preparation/enterprise), a smaller set of platforms have the review volume from large organizations to back up a strong rating.

- [Alteryx](https://www.g2.com/products/alteryx/reviews): Carries the largest enterprise review base in this category, holding a strong rating even at that scale.
- [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews): Enterprise-scale reviews are fewer here, though it posts one of the strongest satisfaction scores among the large-organization reviewers using it.
- [Savant Labs](https://www.g2.com/products/savant-labs/reviews): Enterprise review volume is still building, though fuzzy matching for messy vendor data comes up as a standout feature at this scale too.

#### What is the most reliable data preparation tool for enterprises?

Reliability at this scale tends to come down to support responsiveness, since a large organization needs fast answers when a pipeline feeding multiple downstream reports breaks.

- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews): Support ratings hold up well among enterprise reviewers, consistent with its use turning messy, disconnected data into structured databases for larger organizations.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Support scores stay strong across a substantial enterprise review base, backed by an active user community reviewers mention repeatedly.
- [Tableau](https://www.g2.com/products/tableau/reviews): Holds solid support ratings at enterprise scale, alongside the fast, intuitive data exploration it's known for across company sizes.

#### Which platform offers the strongest BI integration for enterprise teams?

At enterprise scale, BI integration needs to hold up across many dashboards and reporting teams, not just a single analyst's workflow.

- [Domo](https://www.g2.com/products/domo/reviews): Connects to different platforms directly, with strong data transformation and dashboard customizability that scale across a large organization's reporting needs.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Connects to nearly any data source, with a visible workflow that helps enterprise teams audit exactly how data reaches downstream BI tools.
- [Tableau](https://www.g2.com/products/tableau/reviews): Functions as the BI destination itself for many enterprise pipelines, which is part of why so many prep tools are built to feed into it directly.

#### Which data preparation platform is best for enterprise teams working with very large or complex datasets?

Complex, high-volume data, like clinical trial records or large-scale cloud data lakes, needs a platform built for that scale from the start.

- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews): Handles data integration and cleaning for genuinely messy clinical trial data, transforming it into structured databases enterprise teams can actually use.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Processes large data sets quickly, with a visual workflow that stays auditable even as complexity grows.
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews): A smaller enterprise sample so far, though it's purpose-built for large-scale cloud data integration at the volume enterprise teams typically need.

#### Which data preparation platform offers the strongest AI-powered capabilities for enterprise teams?

At this scale, AI capabilities need to handle unstructured or inconsistent data reliably, not just automate a few repetitive clicks.

- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews): Uses efficient AI models to extract meaningful information from unstructured data, turning it into something usable for predictive models at enterprise scale.
- [Alteryx](https://www.g2.com/products/alteryx/reviews): Built around transforming complex, disconnected enterprise data into an AI-ready state without requiring a separate preprocessing tool.
- [Domo](https://www.g2.com/products/domo/reviews): AI-assisted data transformation comes up alongside dashboard customizability as one of the platform's strongest-rated areas.

## Frequently asked questions about Data Preparation Software

### How do data preparation tools facilitate collaboration among teams?

Data preparation tools enhance team collaboration by enabling real-time data sharing and version control, which allows multiple users to work on datasets simultaneously. Features like automated workflows and integration with collaboration platforms streamline communication and reduce errors. Tools such as Alteryx, Talend, and Trifacta are noted for their user-friendly interfaces that facilitate cross-departmental collaboration, with users highlighting improved project turnaround times and better alignment on data-driven decisions. Additionally, the ability to document processes within these tools fosters transparency and knowledge sharing among team members.

### What security measures should I consider when choosing data preparation software?

When choosing data preparation software, consider security measures such as data encryption, user access controls, and compliance with regulations like GDPR. Products like Alteryx, Talend, and Informatica are noted for robust security features, including role-based access and audit trails. Additionally, look for software that offers secure data transfer protocols and regular security updates, as these are critical for protecting sensitive information. User reviews highlight the importance of these features in ensuring data integrity and compliance.

### How do I assess the performance of different data preparation tools?

To assess the performance of different data preparation tools, consider user ratings, feature sets, and customer feedback. For instance, Alteryx leads with a high user satisfaction score of 4.5/5, praised for its intuitive interface and robust analytics capabilities. Talend follows closely with a score of 4.4/5, noted for its strong integration features. Informatica ranks at 4.3/5, valued for its data governance tools. Additionally, look at user reviews highlighting ease of use, support quality, and scalability to make informed comparisons.

### What are common use cases for data preparation in businesses?

Common use cases for data preparation in businesses include data cleaning to ensure accuracy, data transformation for compatibility with analytics tools, and data integration from multiple sources to create a unified view. Users frequently highlight the importance of these processes in enhancing data quality and facilitating better decision-making. Additionally, businesses utilize data preparation for generating reports and dashboards, enabling effective data visualization and insights. Tools like Alteryx, Talend, and Informatica are often mentioned for their capabilities in these areas.

### How do data preparation tools handle data quality and cleansing?

Data preparation tools typically handle data quality and cleansing through features like automated data profiling, which identifies inconsistencies and errors, and data validation rules that ensure accuracy. For instance, tools like Alteryx and Talend are noted for their robust data cleansing capabilities, allowing users to standardize formats and remove duplicates effectively. Additionally, platforms such as Informatica and Trifacta offer advanced algorithms for anomaly detection and data enrichment, enhancing overall data integrity. User reviews highlight the importance of these features in improving data reliability and usability.

### What support options are typically available for data preparation software?

Data preparation software typically offers a range of support options, including live chat, email support, and extensive documentation. For instance, products like Alteryx and Talend provide robust customer support with high user satisfaction ratings, often highlighting the effectiveness of their live chat options. Additionally, many platforms offer community forums and knowledge bases, which users find valuable for troubleshooting and learning best practices. Overall, the availability of these support channels significantly enhances user experience and satisfaction.

### How user-friendly are the leading data preparation platforms?

The leading data preparation platforms exhibit varying levels of user-friendliness. For instance, Alteryx is highly rated for its intuitive interface, receiving a user satisfaction score of 8.9/10. Talend also scores well, with users appreciating its ease of use, reflected in a score of 8.5/10. Informatica stands out for its robust features but has a slightly lower user-friendliness rating of 7.8/10. Overall, Alteryx and Talend are considered the most user-friendly options in the market.

### What types of data can be processed by data preparation tools?

Data preparation tools can process various types of data, including structured data (like databases and spreadsheets), semi-structured data (such as JSON and XML), and unstructured data (including text, images, and social media content). Users frequently highlight the ability of tools like Alteryx, Talend, and Informatica to handle diverse data formats, enabling comprehensive data cleansing, transformation, and integration. Additionally, many tools support real-time data processing and batch processing, catering to different analytical needs.

### How do I evaluate the scalability of a data preparation solution?

To evaluate the scalability of a data preparation solution, consider user feedback on performance under increasing data loads, integration capabilities with other tools, and support for distributed processing. Products like Alteryx, Talend, and Informatica are noted for their robust scalability features, with users highlighting Alteryx's ability to handle large datasets efficiently and Talend's cloud capabilities for scaling operations. Additionally, Informatica users appreciate its performance in enterprise environments, indicating strong scalability across various use cases.

### What is the average pricing model for data preparation software?

The average pricing model for data preparation software typically ranges from $10 to $150 per user per month, with some vendors offering tiered pricing based on features and usage. For instance, products like Alteryx and Talend often have subscription-based models, while others may offer one-time licensing fees. Additionally, many solutions provide free trials or freemium options to attract users. Overall, pricing can vary significantly based on the complexity of features and the scale of deployment.

### How do data preparation tools integrate with existing data sources?

Data preparation tools typically integrate with existing data sources through various connectors and APIs, allowing seamless access to databases, cloud storage, and other data repositories. For instance, tools like Alteryx and Talend are noted for their extensive integration capabilities, supporting connections to platforms such as Salesforce, Google Analytics, and SQL databases. Users frequently highlight the ease of integration as a key feature, with many reporting that these tools facilitate real-time data access and transformation, enhancing overall workflow efficiency.

### What are the key features to look for in a data preparation tool?

Key features to look for in a data preparation tool include data integration capabilities, which allow seamless connection to various data sources, and data cleansing functionalities to ensure accuracy and consistency. User-friendly interfaces are crucial for ease of use, while automation features can significantly enhance efficiency. Additionally, robust data transformation options enable users to manipulate data effectively, and strong collaboration tools facilitate teamwork. Security features are also essential to protect sensitive data throughout the preparation process.