Best Data Preparation Software for Small Business

How Many Data Preparation Software Products Does G2 Track?

Total Products under this Category: 178

Category Stats (Nov 2026)

  • Average Rating: 4.54/5 (↑0.01 vs Oct 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Querri (+1.92%) - Among all products in this category, Querri recorded the largest rating increase compared to last month

Last updated: November 12, 2026

How Does G2 Rank Data Preparation Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 13,200+ Authentic Reviews
  • 178+ 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

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

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=hubspot-data-hub&focus%5B%5D=knime-analytics-platform&focus%5B%5D=dbt&focus%5B%5D=domo&focus%5B%5D=ibm-watson-studio&segment=small-business)

Tableau

Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud.

Average Rating: 4.4/5.0

Total Reviews: 4,120

How Do G2 Users Rate Tableau?

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

Who Is the Company Behind Tableau?

  • Seller: Salesforce
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • LinkedIn® Page: www.linkedin.com
    89,711 employees on LinkedIn®
  • Ownership: NYSE:CRM

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 41% Large, 36% Medium

What Do G2 Reviewers Say About Tableau?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use in Tableau, allowing quick insights and interactive dashboard creation effortlessly.
  • Users find Tableau's simple and interactive data visualization essential for transforming complex data into actionable insights.
  • Users value the simple and interactive data visualization capabilities of Tableau, enhancing clarity and insights from complex data.
  • Users value Tableau's intuitive design and powerful visualization capabilities that facilitate quick insights and effective decision-making.
  • Users value the intuitive interface of Tableau, enabling effortless creation of engaging, clear data visualizations for insights.
Cons
  • Users experience a steep learning curve with Tableau, requiring time and effort to master its advanced features.
  • Users find the learning difficulty of Tableau challenging, especially for advanced features and new terminology.
  • Users find Tableau to be expensive, especially for small organizations, impacting accessibility and overall affordability.
  • Users experience slow performance with Tableau when processing large datasets, impacting usability and efficiency.
  • Users find formatting and implementation difficult, often feeling overwhelmed when trying to create tables effectively.

What Are Recent G2 Reviews of Tableau?

What Are G2 Users Discussing About Tableau?

Alteryx

Alteryx is the agentic analytics and automation company that helps organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business, the Alteryx One platform is designed to work across an organization’s existing data and technology ecosystem. It enables business users to produce AI-ready datasets and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights. This business logic stays visible, understandable, repeatable, and auditable (VURA), so that teams can automate data-intensive workflows without coding. Alteryx closes the last-mile gap between data platforms and the decisions and operations that run the business—giving AI the trusted business context it needs to deliver reliable results. Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, they run more than 380 million workflows on Alteryx each year.

Average Rating: 4.6/5.0

Total Reviews: 933

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
  • Company Website:
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private

Who Uses This Product?

  • Who Uses This: Data Analyst, Analyst
  • Top Industries: Financial Services, Accounting
  • Company Size: 61% Large, 22% Medium

What Do G2 Reviewers Say About Alteryx?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Alteryx, enabling them to work efficiently without coding expertise.
  • Users appreciate the automation capabilities of Alteryx, enabling efficient workflows and streamlined data processing.
  • Users find Alteryx to be super-intuitive, making complex data analysis and migration tasks significantly easier.
  • Users find Alteryx to be super-intuitive and easy to learn, greatly simplifying their data analysis processes.
  • Users commend Alteryx for its efficiency, with quick workflows and time savings in data preparation and automation.
Cons
  • Users find the expensive licensing costs of Alteryx a barrier for wider adoption and utilization.
  • Users find the learning curve steep, requiring time to grasp all the tools effectively.
  • Users are frustrated with missing features like improved email notifications and bugs in tools during transitions.
  • Users find that mastering advanced tools in Alteryx requires time, affecting overall ease of use.
  • Users experience slow performance with large workflows on Alteryx, impacting efficiency and usability significantly.

What Are Recent G2 Reviews of Alteryx?

SAS Viya

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: 795

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
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • LinkedIn® Page: www.linkedin.com
    15,122 employees on LinkedIn®
  • Phone: 1-800-727-0025

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 34% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAS Viya, thanks to its simple syntax and integrated features for analytics.
  • Users commend SAS Viya for its powerful and sophisticated features that enhance data analysis and collaboration across teams.
  • Users value the powerful analytics and integration features of SAS Viya, significantly enhancing data analysis capabilities.
  • Users value the powerful data analysis capabilities of SAS Viya, enhancing efficiency and integration for various tasks.
  • Users value the modern, intuitive user interface of SAS Viya, enhancing productivity with seamless navigation and integration.
Cons
  • Users find the learning difficulty of SAS Viya challenging, especially for beginners due to its complexity and limited resources.
  • Users find SAS Viya has a steep learning curve, making it challenging for newcomers to grasp effectively.
  • Users find SAS Viya's complexity and steep learning curve challenging, hindering effective use and self-learning opportunities.
  • Users find the difficult learning curve of SAS Viya challenging, especially for beginners seeking easier comprehension.
  • Users find the licensing costs of SAS Viya to be prohibitively expensive, especially for features they don't use.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

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HubSpot Data Hub

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: 628

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: 9.9/10 (Category avg: 8.9/10)
  • Profiling and Classification: 9.6/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind HubSpot Data Hub?

  • Seller: HubSpot
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, Massachusetts, United States
  • LinkedIn® Page: www.linkedin.com
    17,628 employees on LinkedIn®
  • Ownership: NYSE:HUBS

Who Uses This Product?

  • Who Uses This: CEO, Owner
  • Top Industries: Information Technology and Services, Marketing and Advertising
  • Company Size: 64% Small, 32% Medium

What Do G2 Reviewers Say About HubSpot Data Hub?

AI-generated summary from verified user reviews

Pros
  • Users find HubSpot Data Hub's ease of use instrumental in creating workflows and maintaining clean, contextual records.
  • Users benefit from automation features in HubSpot Data Hub, enhancing data quality and simplifying workflow management.
  • Users value the clean user interface and consistent field logic of HubSpot Data Hub for effective data management.
  • Users value the seamless integrations of HubSpot Data Hub, enhancing data centralization and management across multiple sources effortlessly.
  • Users value the efficiency of HubSpot Data Hub in centralizing and automating data management, resulting in cleaner workflows.
Cons
  • Users find limitations in data mapping flexibility and encounter difficulties with email differentiation, impacting effectiveness.
  • Users express frustration with missing features in HubSpot Data Hub, particularly around data flexibility and customer support limitations.
  • Users find the learning curve steep with HubSpot Data Hub, especially for advanced features and complex configurations.
  • Users find the pricing prohibitive for smaller companies, with limitations on features and support scaling back.
  • Users find the complexity of setup and learning curve of HubSpot Data Hub to be a significant challenge.

What Are Recent G2 Reviews of HubSpot Data Hub?

What Are G2 Users Discussing About HubSpot Data Hub?

KNIME

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: 126

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
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Zurich, Switzerland
  • LinkedIn® Page: www.linkedin.com
    245 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Higher Education
  • Company Size: 43% Large, 32% Medium

What Do G2 Reviewers Say About KNIME?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use in KNIME invaluable, allowing non-technical individuals to efficiently build workflows.
  • Users love the coding ease of KNIME, making data analysis accessible to both beginners and non-technical users.
  • Users find KNIME to have a user-friendly learning curve, enabling quick access to data solutions without coding skills.
  • Users find KNIME to be a user-friendly learning experience that simplifies complex data analysis without coding.
  • Users appreciate the user-friendly data visualization tools of KNIME, making complex tasks accessible for all skill levels.
Cons
  • Users find the initial learning difficulty in KNIME challenging, especially for those new to data science concepts.
  • Users often face memory availability issues with KNIME, impacting performance and usability, especially with large files.
  • Users often face storage limitations, experiencing memory availability issues and slow performance with large files in KNIME.
  • Users feel that data management issues like file handling and reading from databases hinder their experience with KNIME.
  • Users note the lack of learning resources for KNIME, which hinders their ability to fully utilize the tool.

What Are Recent G2 Reviews of KNIME?

What Are G2 Users Discussing About KNIME?

dbt

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: 209

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
  • Year Founded: 2012
  • HQ Location: Oakland, CA
  • LinkedIn® Page: www.linkedin.com
    1,902 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 appreciate the ease of use of dbt, benefiting from its simple setup and efficient data transformation processes.
  • Users value the ease of use and structured approach of dbt, enhancing collaboration and reliability in data transformation.
  • Users value the automation of data modeling in dbt, enhancing trust and accuracy in their analytics processes.
  • Users value the organized and predictable structure of dbt, enhancing their analytics workflow and fostering collaboration.
  • Users value the easy integrations of dbt, streamlining data workflows and enhancing collaboration without added delays.
Cons
  • Users often experience limited functionality due to issues like debugging complexities and rigid project structures, hindering progress.
  • Users face dependency issues with dbt, leading to inflexibility, time-consuming debugging, and increased project complexity.
  • Users find the steep learning curve of dbt challenging, complicating onboarding and slowing down project progression.
  • Users experience vague error messages that complicate debugging and troubleshooting in dbt, hindering their workflow efficiency.
  • Users find error reporting and troubleshooting difficult, often facing vague messages that hinder debugging and workflow efficiency.

What Are Recent G2 Reviews of dbt?

What Are G2 Users Discussing About dbt?

Domo

Domo’s AI and data platform business is now part of Progress Software. Domo's cloud-native AI data readiness platform complements and significantly broadens Progress' data platform offerings, creating powerful synergies to deliver innovative, secure and scalable AI data readiness solutions worldwide. Together, these capabilities will help customers turn fragmented enterprise data and knowledge into governed, AI-ready intelligence, improving the security, governance and cost of AI-powered initiatives. 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: 1,078

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
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®
  • Ownership: NASDAQ: DOMO

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 value the ease of use of Domo, appreciating its intuitive interface and straightforward data integration capabilities.
  • Users love Domo for its intuitive data visualization, making it easy to create dashboards and extract insights efficiently.
  • Users find Domo extremely intuitive, enabling quick dashboard creation and seamless integration of diverse data sources.
  • Users value the easy integrations of Domo, allowing seamless connection to numerous data sources for insightful analytics.
  • Users praise Domo's seamless integrations, enabling easy connections to various data sources for effective analytics and monitoring.
Cons
  • Users find the steep learning curve of Domo challenging, impacting onboarding and productivity for some staff.
  • Users find it challenging to keep up with missing features and updates, necessitating dedicated resources for tracking.
  • Users face significant data management issues, finding it challenging to secure, clean, and efficiently manage datasets in Domo.
  • Users find Domo's pricing to be expensive and confusing, especially as usage and storage requirements increase.
  • Users find Domo's complexity challenging, citing issues in data management and a lack of support for troubleshooting.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

IBM Watson Studio

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
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM
  • Phone: 1-866-277-7488

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 value the Auto AI capability of IBM Watson Studio for significantly reducing manual work and enhancing productivity.
  • Users admire the Auto AI capability of IBM Watson Studio, significantly reducing manual tasks and enhancing productivity.
  • Users appreciate the user-friendly interface of IBM Watson Studio, making it easy to start and collaborate on projects.
  • Users appreciate the Auto AI capability of IBM Watson Studio, significantly reducing manual work and enhancing productivity.
  • Users value the easy AI integration of IBM Watson Studio, enhancing their data science experience significantly.
Cons
  • Users find the high costs of IBM Watson Studio challenging, especially for individuals and small startups.
  • Users find the steep learning curve of IBM Watson Studio challenging, hindering their ability to use the platform effectively.
  • Users find the steep learning curve of IBM Watson Studio challenging, especially for those new to the platform.
  • Users find the complex interface of IBM Watson Studio challenging, especially those who are new to the platform.
  • Users find the steep learning curve of IBM Watson Studio challenging, especially due to its complex interface.

What Are Recent G2 Reviews of IBM Watson Studio?

What Are G2 Users Discussing About IBM Watson Studio?

OWOX

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
  • Year Founded: 2002
  • HQ Location: WALNUT, California
  • LinkedIn® Page: www.linkedin.com
    69 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, thanks to its smooth onboarding and supportive team.
  • Users appreciate the helpful support team of OWOX, ensuring quick assistance and effective solutions for their needs.
  • Users value OWOX for its flexible server-side analytics and expert support, enhancing data quality and decision-making.
  • Users value the responsive customer support of OWOX, praising their team's readiness to assist at all times.
  • Users value the robust analytics capabilities of OWOX, enabling insightful decisions through detailed data analysis.
Cons
  • Users report data management issues with OWOX, highlighting bugs and unreliable scheduling that hinder effective use.
  • Users report frequent error handling issues, citing the need for improved reliability and better alert systems.
  • Users find the pricing structure expensive for hourly schedules, wishing it were more affordable for better value.
  • Users note the need for improved integration issues with custom external services, affecting overall user satisfaction.
  • Users desire more step-by-step video instructions for better guidance, as current help options are limited.

What Are Recent G2 Reviews of OWOX?

What Are G2 Users Discussing About OWOX?

AWS Glue

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?

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 value the ease of use of AWS Glue, appreciating its straightforward integration and user-friendly features.
  • Users benefit from the seamless data integration of AWS Glue, enhancing analytics and application development efficiency.
  • Users appreciate the fully managed ETL service of AWS Glue, simplifying data integration and optimizing costs effectively.
  • Users value the robust functionality of AWS Glue, which simplifies data preparation and enhances analytics capabilities.
  • Users find AWS Glue to have easy implementation and effective error tracing, streamlining their ETL operations significantly.
Cons
  • Users experience slow performance with AWS Glue, including long start-up times and challenging debugging processes.
  • Users find debugging difficult in AWS Glue due to unclear error messages and a steep learning curve.
  • Users find difficult debugging in AWS Glue frustrating, especially due to unclear error messages and slow start-up times.
  • Users experience performance issues with AWS Glue, including slow startup times and complex debugging processes.
  • Users find AWS Glue time-consuming due to slow startup times and complex debugging processes, affecting overall efficiency.

What Are Recent G2 Reviews of AWS Glue?

What Are G2 Users Discussing About AWS Glue?

Qlik Sense

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/

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
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • LinkedIn® Page: www.linkedin.com
    4,399 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, 41% Medium

What Do G2 Reviewers Say About Qlik Sense?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Qlik Sense, benefiting from intuitive interactions and efficient data integration.
  • Users appreciate the robust data visualization capabilities of Qlik Sense, enhancing their data analysis and insights.
  • Users value the impressive analytics capabilities of Qlik Sense, enabling effective data exploration and trend analysis.
  • Users commend the user-friendly interface and dynamic dashboards of Qlik Sense for effective data visualization and insight discovery.
  • Users appreciate Qlik Sense's robust data integration and usability, enhancing exploration and analysis of large datasets effectively.
Cons
  • Users find limited features in Qlik Sense, leading to challenges in dashboard creation and data management.
  • Users note the missing features in Qlik Sense, particularly the need for more automated data updates and extensions.
  • Users find Qlik Sense relatively expensive compared to alternatives like Power BI, impacting overall accessibility.
  • Users find data management cumbersome, especially regarding file handling and the need for manual data refreshing.
  • Users find the learning curve steep, making it challenging for beginners to efficiently navigate Qlik Sense.

What Are Recent G2 Reviews of Qlik Sense?

What Are G2 Users Discussing About Qlik Sense?

DemandTools

DemandTools is the enterprise-grade data quality engine tens of thousands of Salesforce admins trust. Deduplicate across any object, standardize and import data at scale, and apply mass updates with governance-level control. With DemandTools, you manage your CRM data in minutes, not months, so you always have accurate, AI-ready data enabling everyone to do their job more effectively, efficiently, and profitably. By fixing common data problems, automating data quality routines, and working within your specific processes and customizations, DemandTools gives stakeholders accurate insights and reporting, improves business efficiency, and gets you clean data faster, with less effort. DemandTools has 12 modules making it the most versatile and adaptable data quality solution for CRM. Data Quality Assessment Understand how strong or weak your data is and know where to focus remediation efforts. Module: Assess Duplicate Management Detect, eliminate, and prevent duplicate records from misleading your sales and marketing teams and causing friction in your customer journey. Modules: Dedupe, Convert, DupeBlocker, Match Data Migration Management Maintain data integrity while moving data into and out of Salesforce. Modules: Import, Export, Delete, Match Standardization, mass modification, and business insights. Apply record changes en masse and standardize data to get trustworthy insights in every report. Modules: Modify, Tune, Reassign Email Verification Verify email addresses in CRM to keep communication flowing with your customers. Module: Verify Get clean data and strengthen your business with DemandTools. Looking for more than data quality? Validity also offers Validity Engage, the trusted Enterprise AI platform for email marketing.

Average Rating: 4.5/5.0

Total Reviews: 276

How Do G2 Users Rate DemandTools?

  • Has the product been a good partner in doing business?: 8.9/10 (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 DemandTools?

  • Seller: Validity Inc
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Boston, Massachusetts
  • LinkedIn® Page: www.linkedin.com
    345 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Administrator
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 48% Medium, 33% Large

What Do G2 Reviewers Say About DemandTools?

AI-generated summary from verified user reviews

Pros
  • Users find DemandTools to have an easy-to-use interface that allows for efficient data management and customization.
  • Users value the efficient duplicate management in DemandTools, greatly simplifying finding and reconciling duplicates.
  • Users appreciate the time-saving capabilities of DemandTools, streamlining data management and task execution efficiently.
  • Users value the efficiency of DemandTools, streamlining data management and making processes significantly faster and easier.
  • Users value the Salesforce integration of DemandTools for its ease of use and efficient data handling capabilities.
Cons
  • Users find the limited functionality of DemandTools frustrating, especially regarding tagging and historical data access.
  • Users find missing features in DemandTools, particularly in Dynamics support, record-level error details, and merge history.
  • Users find the learning curve steep, making DemandTools initially intimidating but easier with continued use.
  • Users feel the poor interface design of DemandTools detracts from its usability and overall appeal.
  • Users experience slow loading times, particularly when handling large datasets, affecting workflow and efficiency.

What Are Recent G2 Reviews of DemandTools?

Alteryx Designer Cloud

Designer Cloud powered by Trifacta is part of the Alteryx Analytics Cloud platform. Designer Cloud democratizes data analytics across the organization with an open and interactive cloud platform for anyone who works with data to collaboratively profile, prepare, and pipeline data for analytics and machine learning. Organizations can connect to any data source, across all major cloud data platforms, and integrate Alteryx Analytics Cloud seamlessly into the existing data stack. Designer Cloud provides an interactive, visual user experience with AI/ML-based suggestions to guide users through the exploration and transformation of any dataset.

Average Rating: 4.4/5.0

Total Reviews: 151

How Do G2 Users Rate Alteryx Designer Cloud?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 9.1/10)
  • Data Workflows: 8.6/10 (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 Alteryx Designer Cloud?

  • Seller: Alteryx
  • Year Founded: 1997
  • HQ Location: Irvine, CA
  • LinkedIn® Page: www.linkedin.com
    2,312 employees on LinkedIn®
  • Ownership: Private
  • Phone: 714-516-2400

Who Uses This Product?

  • Top Industries: Information Technology and Services, Hospital & Health Care
  • Company Size: 35% Large, 35% Small

What Are Recent G2 Reviews of Alteryx Designer Cloud?

What Are G2 Users Discussing About Alteryx Designer Cloud?

Flatfile

Migrating data is one of the biggest barriers to onboarding customers quickly and successfully. This process is often complex and error-prone, causing delays and frustration that can negatively impact the customer experience. Don’t let customer data become a bottleneck for your business. Accelerate your data onboard and migrations with AI-powered data transformations. Our source-to-target mapping auto-magically converts complex data into your desired format. Easily collaborate with stakeholders on data decisions with granular access control, ensuring the right people manage the right data at the right time. With our fully customizable developer-first platform and event-driven architecture you can create complex workflows tailored specifically to your business needs. No more costly, service-heavy migrations. Migrate data efficiently and with confidence. Come see how we help the world’s best data migration and implementation teams migrate customer data seamlessly.

Average Rating: 4.6/5.0

Total Reviews: 31

How Do G2 Users Rate Flatfile?

  • Has the product been a good partner in doing business?: 10.0/10 (Category avg: 9.1/10)
  • Data Workflows: 9.2/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.9/10 (Category avg: 8.6/10)
  • Data Joining: 9.6/10 (Category avg: 8.9/10)

Who Is the Company Behind Flatfile?

  • Seller: Flatfile
  • Year Founded: 2018
  • HQ Location: Denver, Colorado
  • LinkedIn® Page: www.linkedin.com
    23 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software
  • Company Size: 90% Small, 6% Medium

What Do G2 Reviewers Say About Flatfile?

AI-generated summary from verified user reviews

Pros
  • Users value the time efficiency of Flatfile, appreciating the saved effort in writing complex functionality.
  • Users value the time-saving aspect of Flatfile, eliminating the need to build functionalities from scratch.
Cons
  • Users report unreliable error handling in Flatfile, leading to confusion and poor reflections on their own products.
  • Users report frequent error notifications that disrupt workflows and negatively impact the user experience with Flatfile.
  • Users find limited customization in Flatfile, which restricts their ability to tailor the product to their needs.
  • Users find limited features in Flatfile, particularly noting issues with stability and customization options.
  • Users find Flatfile's limited functionality frustrating, with issues like UI breaks and unreliable server responses complicating usage.

What Are Recent G2 Reviews of Flatfile?

What Are G2 Users Discussing About Flatfile?

Rapidminer Monarch

An industry leader with over 30 years of experience in data discovery and transformation, Rapidminer Monarch offers the fastest and easiest way to extract data from any source. Simple to construct workflows that require no coding enable users to collaborate as they transform difficult data such as PDFs spreadsheets, text files, as well as from big data and other structured sources, into rows and columns. Whether data is on premises or in the cloud, Rapidminer Monarch can automate preparation tasks for expedited results and deliver data you trust for smart business decision making. To learn more about Rapidminer Monarch or download a free version of its enterprise software, please click the links below.

Average Rating: 4.5/5.0

Total Reviews: 91

How Do G2 Users Rate Rapidminer Monarch?

  • Has the product been a good partner in doing business?: 8.4/10 (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 Rapidminer Monarch?

Who Uses This Product?

  • Top Industries: Financial Services, Hospital & Health Care
  • Company Size: 54% Large, 27% Medium

What Are Recent G2 Reviews of Rapidminer Monarch?

What Are G2 Users Discussing About Rapidminer Monarch?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated