Best Data Preparation Software for Medium-Sized Businesses - Page 2

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, HubSpot Data Hub, SAS Viya, Domo, dbt, Qlik Sense, and DemandTools.

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-preparation/grids.json?focus%5B%5D=tableau&focus%5B%5D=alteryx&focus%5B%5D=hubspot-data-hub&focus%5B%5D=sas-sas-viya&focus%5B%5D=domo&focus%5B%5D=dbt&focus%5B%5D=qlik-sense&focus%5B%5D=demandtools&segment=mid-market)

Solvexia

Solvexia is the reconciliation platform built for complex, high-volume finance operations. It is used by finance and accounting teams that have outgrown spreadsheets and basic reconciliation tools, and need a platform that handles the scale, complexity, and data fragmentation that standard solutions cannot. Most reconciliation tools work well for simple, structured data. Solvexia is designed for environments where matching is difficult, data comes from multiple disconnected sources, and manual workarounds have become the norm. In high-volume environments, that gap between what standard tools can do and what the business actually requires is where Solvexia operates. Who uses Solvexia? Solvexia is typically used by mid-sized and enterprise finance teams running high-volume reconciliation processes across multiple data sources and entities. Common users include financial controllers, reconciliation managers, and finance operations teams responsible for transaction reconciliation, regulatory reporting, financial close activities, and data validation at scale. It is commonly adopted when ERP reconciliation breaks down under the weight of non-standard matching rules or unexpected data volumes, when spreadsheet workarounds have become unmanageable, or when the reconciliation process itself — not just the management of it — is the bottleneck. Core capabilities: 1. Matching intelligence that handles what others can't Solvexia automates reconciliation at a level of complexity where other tools break down. It supports one-to-many and many-to-many matching, partial matches, and timing differences across fragmented, multi-source data. Exceptions are handled automatically, without manual workarounds, and match rates are maintained even as data complexity and transaction volumes increase. Across finance teams dealing with high transaction volumes and non-standard matching requirements, Solvexia is known for maintaining high match rates where other platforms require manual intervention to fill the gaps. 2. Data connectivity across every source Solvexia connects every data source into a single automated reconciliation workflow. ERPs, bank files, payment processors like Stripe and PayPal, Excel, APIs, and databases all feed into one process, regardless of format or volume. There is no need to normalize data before it enters the platform or build custom pipelines to make sources compatible. In high-volume environments where data is spread across multiple systems with inconsistent formats, Solvexia centralizes the entire process without requiring technical resources to maintain the connections. 3. Built to scale with transaction volume, not against it Unlike tools that slow down or produce degraded match rates as data volumes grow, Solvexia is built for it. The platform handles thousands to millions of transactions without performance trade-offs, making it suitable for organizations where transaction volumes fluctuate significantly or are expected to grow. Solvexia is often used when finance teams have hit the ceiling of what their current reconciliation tool or spreadsheet process can handle, and need a platform that scales with the business rather than requiring a rebuild every time volume increases. 4. Finance-led automation, no IT dependency Workflows in Solvexia are built and maintained by finance teams, not developers. Matching logic, workflow rules, and data connections are all configurable without custom code or technical resources. There is no IT backlog standing between a finance team and a working reconciliation process, and no dependency on development resources to make changes when business requirements evolve. This matters in practice: finance teams can implement, adjust, and maintain their own processes independently, which reduces time-to-value and keeps the platform responsive to how the business actually works. 5. Workflow control and process governance Solvexia provides configurable workflows that support approvals, reviews, commentary, and audit trails. These controls allow finance teams to enforce consistent process execution, manage exceptions, and maintain the documentation required for audit and compliance purposes, without relying on manual tracking or email-based sign-off processes. How Solvexia compares Solvexia is faster to implement than enterprise compliance platforms, which are built around audit infrastructure and require significant upfront configuration. For finance teams that need matching intelligence and workflow flexibility without the enterprise overhead, Solvexia delivers the core reconciliation capability at a fraction of the cost and implementation timeline, typically 90 days. Unlike close management tools that focus on visibility into the month-end close process, Solvexia is built for teams where the reconciliation work itself is the hard problem. If the bottleneck is inside the close, not the coordination of it, Solvexia goes deeper. Compared to ERP-native reconciliation functionality, Solvexia handles the scenarios where standard tools break down: non-standard matching rules, data sources that do not conform to expected formats, and transaction volumes that exceed what the ERP was designed to support. Finance teams can configure Solvexia to adapt to the business, rather than adapting the business to fit the tool. Typical use cases: Solvexia is typically used for transaction and account reconciliation, intercompany reconciliation, payment reconciliation across processors and banks, regulatory and management reporting, rebate and incentive calculations, financial close support, and ongoing data quality monitoring across multiple entities and systems.

Average Rating: 4.7/5.0

Total Reviews: 30

How Do G2 Users Rate Solvexia?

  • 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: 8.4/10 (Category avg: 8.6/10)
  • Data Joining: 9.1/10 (Category avg: 8.9/10)

Who Is the Company Behind Solvexia?

  • Seller: Solvexia
  • Year Founded: 2008
  • HQ Location: Sydney, AU
  • LinkedIn® Page: au.linkedin.com
    13 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Staffing and Recruiting
  • Company Size: 45% Small, 42% Medium

What Do G2 Reviewers Say About Solvexia?

AI-generated summary from verified user reviews

Pros
  • Users value the automation capabilities of SolveXia, streamlining processes and saving significant time on tasks.
  • Users find SolveXia remarkably easy to use, making automation and reporting processes efficient and time-saving.
  • Users value the seamless integrations with third-party systems, optimizing automation and enhancing reporting efficiency.
  • Users appreciate the easy platform integration with various systems, enhancing automation and saving significant time.
  • Users find SolveXia's time-saving automation processes greatly enhance their reporting and file manipulation efficiency.
Cons
  • Users note the limited functionality of Solvexia's process designer, particularly in lacking loop capabilities despite various workarounds.
  • Users find a lack of loop functionality in Solvexia's process designer, requiring workarounds for effective use.

What Are Recent G2 Reviews of Solvexia?

What Are G2 Users Discussing About Solvexia?

Pecan

Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn business questions into reliable predictions for use cases like customer churn, demand forecasting, and lifetime value, without relying on long, complex data science projects. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, and provides transparent, explainable predictions that integrate into tools like Salesforce, HubSpot, Snowflake, and BI systems to drive real business outcomes.

Average Rating: 4.7/5.0

Total Reviews: 44

How Do G2 Users Rate Pecan?

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

Who Is the Company Behind Pecan?

  • Seller: Pecan.ai
  • Company Website:
  • Year Founded: 2018
  • HQ Location: US, Israel
  • LinkedIn® Page: www.linkedin.com
    89 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Retail, Computer Software
  • Company Size: 50% Medium, 21% Large

What Do G2 Reviewers Say About Pecan?

AI-generated summary from verified user reviews

Pros
  • Users highlight the ease of use of Pecan, appreciating its supportive customer service and intuitive interface.
  • Users commend the excellent customer support from Pecan, which significantly enhances their overall experience and success.
  • Users value the speed of model-building with Pecan, enabling quick predictive models without a dedicated data science team.
  • Users find Pecan's problem-solving capabilities exceptional, enhancing predictive modeling and streamlining workflows with significant support.
  • Users appreciate the implementation ease of Pecan, highlighting its straightforward setup and user-friendly interface.
Cons
  • Users find the learning difficulty with Pecan can complicate quantifying variables and understanding data structures initially.
  • Users find that Pecan has limited visibility into model logic, complicating custom tuning and understanding model outputs.
  • Users note the limited features of Pecan, highlighting the need for better model visibility and custom tuning options.
  • Users face a learning curve with Pecan, particularly in understanding data and utilizing key features effectively.
  • Users wish for more customization options in Pecan to have better control over model tuning and selection.

What Are Recent G2 Reviews of Pecan?

SAS Data Management

SAS Data Management is a comprehensive solution designed to transform raw data into a valuable business asset by improving, integrating, managing, and governing data across an organization. It enables users to access data from various sources, create rules, collaborate with teams, and manage metadata, thereby preparing data for analytics and informed decision-making. Key Features and Functionality: - Data Access and Integration: Seamlessly access data from diverse sources, including legacy systems and modern platforms like Hadoop, ensuring comprehensive data integration. - Data Quality and Cleansing: Utilize embedded tools to automatically identify and rectify data quality issues, reducing errors and inconsistencies. - Data Preparation: Prepare data for analytics and reporting in a self-service environment without the need for coding or IT assistance, enhancing productivity. - Data Governance: Implement consistent policies and processes to ensure data conforms to established standards and regulatory requirements. - Personal Data Protection: Identify and monitor personal data sources to comply with privacy regulations such as GDPR. - Data Federation and Stewardship: Simplify data integration complexities with a virtual data environment that delivers a complete data picture in a user-friendly format. Primary Value and Solutions Provided: SAS Data Management addresses the critical need for organizations to manage their data effectively, turning it into a strategic asset. By providing a unified platform for data access, integration, quality, governance, and master data management, it eliminates the need for multiple, overlapping tools. This consolidation leads to improved data accuracy, streamlined operations, and enhanced decision-making capabilities. Organizations can ensure that all internal and third-party data remains clean and well-managed, facilitating compliance with regulatory standards and enabling more efficient and effective business processes.

Average Rating: 4.1/5.0

Total Reviews: 97

How Do G2 Users Rate SAS Data Management?

  • Has the product been a good partner in doing business?: 8.1/10 (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: 9.6/10 (Category avg: 8.9/10)

Who Is the Company Behind SAS Data Management?

  • Seller: SAS Institute
  • 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?

  • Top Industries: Higher Education, Research
  • Company Size: 51% Large, 26% Small

What Do G2 Reviewers Say About SAS Data Management?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAS Data Management, appreciating its user-friendly interface and automation capabilities.
  • Users value the analytics capabilities of SAS Data Management, facilitating data preparation and insightful analysis seamlessly.
  • Users appreciate the robust tools for data cleaning offered by SAS Data Management, ensuring high data accuracy and consistency.
  • Users value the robust tools for cleaning and standardizing data in SAS Data Management, ensuring accuracy and consistency.
  • Users value the strong SAS language capabilities for transforming data efficiently and ensuring accuracy in management processes.
Cons
  • Users find the high cost of SAS Data Management makes it inaccessible and strains system resources.
  • Users find the interface not user-friendly, leading to difficulties in navigation and overall usability.
  • Users report that slow performance with large datasets significantly disrupts workflow and affects overall user experience.
  • Users find that extensive training is required for effective use of SAS Data Management, especially for beginners.
  • Users find the complexity of SAS Data Management challenging, requiring advanced statistical knowledge for effective use.

What Are Recent G2 Reviews of SAS Data Management?

What Are G2 Users Discussing About SAS Data Management?

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How it works

Plauti

For Salesforce and Dynamics 365 CE teams who want to run reports, automation, and AI on clean, current data, Plauti is a data quality platform that monitors, cleans, and prevents bad data, and makes the result actionable, without the data ever leaving the CRM. Every report, routing rule, campaign, and AI action runs on your CRM data, and that data decays every day. Duplicates and other bad data come in through forms, imports, integrations, and now AI itself. AI raises the stakes: agents act on the first duplicate they find and write more bad data back into your CRM at machine speed. Plauti covers the data quality lifecycle inside your CRM. Monitor shows the health of your data across every object and field, so everyone works from the same picture and can see where bad data comes from. Clean merges duplicates and clears legacy backlog at scale. Prevent blocks bad data at entry points such as manual entry, imports, and the API. Act puts clean data to work for the teams, systems, and AI that depend on it. Unlike bolt-on tools that export your data, or native features that stop at detection, Plauti runs entirely inside your CRM and gives you configurable, governed control across Salesforce and Dynamics 365 CE. It follows your rules and your logic, so the analytics, automation, and AI on top of it work from data that is ready for them. That is what makes CRM data AI-ready and business-ready.

Average Rating: 4.4/5.0

Total Reviews: 115

How Do G2 Users Rate Plauti?

  • Has the product been a good partner in doing business?: 9.3/10 (Category avg: 9.1/10)

Who Is the Company Behind Plauti?

  • Seller: Plauti
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Arnhem, Netherlands
  • LinkedIn® Page: www.linkedin.com
    57 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Non-Profit Organization Management, Computer Software
  • Company Size: 57% Medium, 35% Small

What Do G2 Reviewers Say About Plauti?

AI-generated summary from verified user reviews

Pros
  • Users find Plauti's platform to be easy to use, streamlining lead assignment and automation effectively.
  • Users value the straightforward duplication management of Plauti, appreciating its affordability and effective automation.
  • Users commend the quick and helpful customer support provided by Duplicate Check, enhancing their overall experience.
  • Users commend the quick and easy merging capabilities of Plauti, enhancing their efficiency in managing duplicates.
  • Users value the flexibility and customization of Plauti, enhancing duplicate management tailored to their specific needs.
Cons
  • Users find the learning curve steep for new admins due to Plauti's complexity and abundance of options.
  • Users find the complexity of options overwhelming, making the initial setup and understanding challenging.
  • Users struggle with data management issues, including challenges in setting validation rules and merging records effectively.
  • Users find too many options confusing, making it difficult to establish effective data validation and gauge record limits.
  • Users find the limited functionality of Plauti restrictive, especially regarding multi-row drag-and-drop and duplicate checks.

What Are Recent G2 Reviews of Plauti?

What Are G2 Users Discussing About Plauti?

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?

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?

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?

OneSchema

OneSchema provides AI agents for data operations that automate data prep, driving efficiency and improving client project margins. By standardizing raw client files to your RFIs, OneSchema helps teams reach insights and deliver results faster.

Average Rating: 4.6/5.0

Total Reviews: 47

How Do G2 Users Rate OneSchema?

  • Has the product been a good partner in doing business?: 9.0/10 (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: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind OneSchema?

  • Seller: OneSchema
  • Year Founded: 2021
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Small, 44% Medium

What Do G2 Reviewers Say About OneSchema?

AI-generated summary from verified user reviews

Pros
  • Users value the quick and reliable community support of OneSchema, enhancing their overall experience with the product.
  • Users commend the quick and reliable customer support from OneSchema, swiftly resolving issues and answering questions.
  • Users value the easy customization options in OneSchema, allowing for intuitive and polished importer creation.
  • Users value the ease of use of OneSchema, noting its intuitive and customizable importer creation process.
  • Users value the quick and reliable support from OneSchema, enhancing the overall user experience and efficiency.
Cons
  • Users desire enhanced customization options for OneSchema, indicating a need for improved flexibility in their workflow.
  • Users seek improved interface design for OneSchema, believing better UX will enhance their data transformation experience.
  • Users seek improved user experience in OneSchema, especially regarding customization and data transformation processes.
  • Users desire enhanced UX improvements for better customization and streamlined data transformations in OneSchema.

What Are Recent G2 Reviews of OneSchema?

IBM Databand

Detect and resolve your data issues faster than ever with Databand. The only continuous data observability platform that catches bad data before it impacts your business. Book a demo today --> https://www.ibm.com/account/reg/us-en/signup?formid=DEMO-dataaidataband CORE CAPABILITIES Incident Management Improve data reliability and quality under one roof with a single pane of glass for all your data incidents. Data Reliability Monitoring Monitor data pipeline errors such as failed runs, longer than expected durations, missing data operations, and unexpected schema changes. Data Quality Metrics Continuously validate data quality with dataset metrics for SLAs, column changes, and null records. Anomaly Detection Eliminate the unknown by seeing trends & detecting anomalies from your metadata in real time. DataOps Alerting and Routing Customize incident alerts and route notifications to impacted DataOps teams for faster resolution. End-to-end Lineage Visualize how data incidents impact upstream and downstream components of your data stack. Website www.ibm.com/products/databand

Average Rating: 4.3/5.0

Total Reviews: 65

How Do G2 Users Rate IBM Databand?

  • Has the product been a good partner in doing business?: 8.3/10 (Category avg: 9.1/10)
  • Data Workflows: 8.8/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.3/10 (Category avg: 8.6/10)
  • Data Joining: 8.8/10 (Category avg: 8.9/10)

Who Is the Company Behind IBM Databand?

  • 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, Data Analyst
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 44% Medium, 33% Large

What Do G2 Reviewers Say About IBM Databand?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automated anomaly detection feature of IBM Databand, enhancing monitoring and insights in data pipelines.
  • Users value the monitoring capabilities of IBM Databand, appreciating its insights and end-to-end visibility in data pipelines.
  • Users appreciate the automation capabilities of IBM Databand, enhancing efficiency in data pipeline management and monitoring.
  • Users value the customizable dashboard of IBM Databand for its simplicity and accessibility of key metrics.
  • Users value the data management capabilities of IBM Databand for efficiently handling ETL processes and pipeline monitoring.
Cons
  • Users note the limited features in IBM Databand, finding it challenging for smaller teams and new users.
  • Users find IBM Databand to be expensive for smaller teams, limiting accessibility and complicating onboarding for new users.
  • Users face integration issues with IBM Databand, particularly with limited compatibility and customizability for dashboards.
  • Users find IBM Databand has a steep learning curve, making onboarding challenging and navigation complex for new users.
  • Users find the missing features in IBM Databand, such as self error resolution and limited integrations, frustrating.

What Are Recent G2 Reviews of IBM Databand?

Visier

Visier gives organizations a Workforce AI Edge: a set of AI-powered capabilities that help leaders understand the relationship between people and work, elevate employee productivity, and win by adapting to change faster. The company is the global leader in AI-powered people analytics, workforce planning, and compensation allocation. All Visier technology is underpinned by its Real-time People Data Platform, which uses AI to unlock the business-transforming potential of people data, work data, and the fusion of both. Founded in 2010 by the pioneers of business intelligence, Visier has over 60,000 customers in 75 countries—including enterprises like BASF, Panasonic, Experian, Amgen, eBay, Ford Motor Company, and more. To learn more about Visier, visit www.visier.com.

Average Rating: 4.6/5.0

Total Reviews: 219

How Do G2 Users Rate Visier?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 9.1/10)
  • Data Workflows: 8.1/10 (Category avg: 8.9/10)
  • Profiling and Classification: 7.9/10 (Category avg: 8.6/10)
  • Data Joining: 7.7/10 (Category avg: 8.9/10)

Who Is the Company Behind Visier?

  • Seller: Visier
  • Year Founded: 2010
  • HQ Location: Vancouver, British Columbia
  • LinkedIn® Page: www.linkedin.com
    532 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Hospital & Health Care, Information Technology and Services
  • Company Size: 82% Large, 17% Medium

What Do G2 Reviewers Say About Visier?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Visier, simplifying data analysis and making insights accessible for everyone.
  • Users value the data breakdown capabilities of Visier, making analytics accessible and effective for decision-making.
  • Users appreciate user-friendly data breakdowns in Visier, facilitating clear communication of insights to leadership.
  • Users value the powerful data visualization capabilities of Visier, enabling clear insights and effective communication with leadership.
  • Users value the time-saving integration of multiple data sources in Visier, streamlining analytics and decision-making processes.
Cons
  • Users find the learning difficulty in Visier challenging, requiring considerable time and assistance to navigate effectively.
  • Users find the high costs associated with Visier's integration and modules to be a significant barrier.
  • Users note a steep learning curve with Visier, requiring time and support to master the tool effectively.
  • Users find Visier’s complexity challenging, particularly with customization and a lack of adequate customer support.
  • Users find limited customization options in Visier frustrating, hindering flexibility compared to other analytics tools like Tableau or Power BI.

What Are Recent G2 Reviews of Visier?

What Are G2 Users Discussing About Visier?

TIMi

TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/

Average Rating: 4.8/5.0

Total Reviews: 50

How Do G2 Users Rate TIMi?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 9.1/10)
  • Data Workflows: 9.0/10 (Category avg: 8.9/10)
  • Profiling and Classification: 8.5/10 (Category avg: 8.6/10)
  • Data Joining: 9.3/10 (Category avg: 8.9/10)

Who Is the Company Behind TIMi?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Banking
  • Company Size: 40% Small, 32% Large

What Do G2 Reviewers Say About TIMi?

AI-generated summary from verified user reviews

Pros
  • Users commend the exceptional customer support of TIMi, noting prompt responses and effective assistance from the team.
  • Users praise the ease of use of TIMi, noting its intuitive interface and quick learning curve.
  • Users praise the user-friendly interface and exceptional support, enhancing the overall experience with TIMi's products.
  • Users value the fast automation capabilities of TIMi's Anatella software for efficient data transformation and analysis.
  • Users admire the intuitive charting features of TIMi, enabling quick and efficient data visualization after learning the tool.

What Are Recent G2 Reviews of TIMi?

What Are G2 Users Discussing About TIMi?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated