# Best Data Preparation Software for Small Business - Page 2

*By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)*


Products classified in the overall Data Preparation category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Data Preparation to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Data Preparation category.

In addition to qualifying for inclusion in the Data Preparation Software category, to qualify for inclusion in the Small Business Data Preparation Software category, a product must have at least 10 reviews left by a reviewer from a small business.





## Top Data Preparation Software at a Glance
| # | Product | Rating | Best For | What Users Say |
|---|---------|--------|----------|----------------|
| 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,652 reviews) | Drag-and-drop data prep for multi-source dashboards | "[Intuitive, Powerful Dashboards Made Easy with Tableau](https://www.g2.com/survey_responses/tableau-review-12975131)" |
| 2 | [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5.0 (846 reviews) | No-code multi-source ETL workflow automation | "[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)" |
| 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (766 reviews) | End-to-end data prep with no-code pipelines | "[Intuitive Interface with Fast, Practical Reporting for Massive Data](https://www.g2.com/survey_responses/sas-viya-review-13091171)" |
| 4 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,015 reviews) | No-code multi-source ETL and transformation | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" |
| 5 | [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) | 4.5/5.0 (560 reviews) | HubSpot-native CRM data deduplication and cleansing | "[HubSpot Data Hub simplifies and centralizes data with ease](https://www.g2.com/survey_responses/hubspot-data-hub-review-12746925)" |
| 6 | [dbt](https://www.g2.com/products/dbt/reviews) | 4.7/5.0 (208 reviews) | SQL-based ELT transformation with version-controlled lineage | "[Simple SQL-Driven Materializations with Powerful Lineage](https://www.g2.com/survey_responses/dbt-review-12985641)" |
| 7 | [Incorta](https://www.g2.com/products/incorta/reviews) | 4.4/5.0 (55 reviews) | Multi-source ELT with no-code data modeling | "[Great platformand support](https://www.g2.com/survey_responses/incorta-review-10853785)" |
| 8 | [DemandTools](https://www.g2.com/products/demandtools/reviews) | 4.6/5.0 (275 reviews) | Salesforce-native bulk deduplication and data cleansing | "[The reason I don’t fear CSV files anymore.](https://www.g2.com/survey_responses/demandtools-review-11536972)" |
| 9 | [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews) | 4.5/5.0 (99 reviews) | — | "[KNIME’s Visual Workflows - One of the best tool for Auditing, Accounting & Finance Professionals](https://www.g2.com/survey_responses/knime-review-12976842)" |
| 10 | [AWS Glue](https://www.g2.com/products/aws-glue/reviews) | 4.3/5.0 (194 reviews) | Serverless ETL pipelines with AWS-native cataloging | "[AWS Glue Makes ETL Simple with Serverless Scalability and Deep AWS Integration](https://www.g2.com/survey_responses/aws-glue-review-12380790)" |

---
## What Are the Most Common Questions About Data Preparation Software?
*AI-generated · Last updated: May 26, 2026*
### What top platforms for cleaning and transforming raw data?
Based on G2 reviews, buyers evaluating data preparation software for cleaning and transforming raw data consistently mention a few recurring strengths: easy workflow building, support for multiple data sources, and reduced manual cleanup. According to verified users, Alteryx is frequently praised for data cleansing, standardization, joining sources, and automating repetitive prep work. G2 reviewers mention AWS Glue for serverless ETL and schema management when teams are already working in AWS environments. They also mention dbt for organizing transformation logic, testing data quality, and creating maintainable transformation pipelines inside the warehouse. Across recent reviews, the common value is faster preparation of messy data with less spreadsheet work and more repeatable processes.

**Here are some of the top-rated products on G2:**

- [Alteryx](https://www.g2.com/products/alteryx/reviews) – often used for cleansing, standardizing, and combining data from many sources with low-code workflows
- [dbt](https://www.g2.com/products/dbt/reviews) – suited for SQL-based transformations, testing, and documentation for warehouse-centered teams
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – helpful for serverless ETL, schema discovery, and catalog-driven preparation in AWS


### Which data preparation software integrates with BI platforms?
Based on G2 reviews, several data preparation software products are used specifically to feed dashboards, reports, and analytics tools. According to verified users, Alteryx is often used to standardize source data before it reaches visualization templates or recurring reports. G2 reviewers mention AWS Glue integrating smoothly with services like Athena and Redshift, helping prepared data move into downstream analytics environments. Users also describe Domo as combining ETL, data integration, and dashboarding in one cloud platform, which reduces the number of handoffs between prep and reporting. Across recent feedback, the main buying signal is not just connectivity, but whether the product helps teams centralize data, automate transformations, and make prepared data easier to use in BI workflows.


### Which data preparation software offers the fastest processing speeds?
Based on G2 reviews, speed is usually described in the context of reducing manual work, handling large files, or accelerating repetitive transformations rather than raw benchmark claims. According to verified users, Alteryx is often highlighted for automating weekly standardization, reconciliation, and large-volume preparation tasks that would otherwise take much longer in SQL or Excel. G2 reviewers mention AWS Glue for scalable serverless processing and automation across multiple sources, while dbt is praised for efficient transformation workflows managed directly in the warehouse. Recent reviews suggest the fastest option often depends on your environment: warehouse-first teams lean toward dbt, AWS-native teams toward Glue, and analyst-heavy teams toward Alteryx for low-code speed and operational efficiency.


### What best software for preparing real-time streaming data?
Based on G2 reviews, tools mentioned for fresher or near-real-time data preparation tend to stand out for automated refreshes, real-time ingestion, or continuously updated dashboards. According to verified users, AWS Glue is often selected when teams need automated ETL, schema handling, and scalable processing without managing infrastructure. G2 reviewers also mention Domo for real-time updates, centralized dashboards, and bringing multiple data sources together for faster reporting. Some users reference SAS Viya for keeping dashboards up to date with real-time data while combining analytics and data preparation in one environment. Recent feedback shows that buyers focused on time-sensitive reporting usually value automation, centralized metadata, and reduced operational overhead more than pure transformation depth alone.

**Here are some of the top-rated products on G2:**

- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – used for automated, serverless ETL and scalable processing across connected data sources
- [Domo](https://www.g2.com/products/domo/reviews) – praised for real-time updates, centralized data, and dashboards that support faster decisions
- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) – mentioned for combining up-to-date dashboards, analytics, and data preparation in one platform


### What top-rated data preparation tools for large datasets?
Based on G2 reviews, buyers working with large datasets tend to prioritize products that can process high volumes reliably while still keeping transformation logic manageable. According to verified users, Alteryx is often praised for handling large amounts of data, automation, and combining sources without relying as heavily on manual spreadsheets. G2 reviewers mention AWS Glue for scalable, serverless ETL and data catalog capabilities that help with large-scale data processing. They also call out dbt for structuring and testing transformations directly in the warehouse, which helps teams manage growing model complexity. Across recent reviews, the strongest signal is that teams want large-scale preparation tools that improve reliability, reduce manual intervention, and support repeatable analytics workflows.

**Here are some of the top-rated products on G2:**

- [Alteryx](https://www.g2.com/products/alteryx/reviews) – commonly used for high-volume cleansing, reconciliation, and multi-source preparation workflows
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – suited for scalable ETL, centralized metadata, and large-source processing in AWS
- [dbt](https://www.g2.com/products/dbt/reviews) – useful for warehouse-scale transformations, testing, and dependency management on large model sets


### Which is the best data preparation tool for analytics teams?
Based on G2 reviews, [Alteryx](https://www.g2.com/products/alteryx/reviews) stands out as the single most broadly referenced option here because recent reviewers repeatedly describe it as easy to use across skill levels, strong for automation, and effective for combining data from multiple sources. According to verified users, analytics teams value how it helps with cleansing, standardization, recurring reporting, and reducing manual prep steps. G2 reviewers mention that it is especially useful when analysts need to move quickly without relying entirely on engineering resources. At the same time, users also note tradeoffs such as crashes, slower performance in some cases, and licensing concerns. For analytics teams prioritizing repeatable workflows and accessible data preparation, Alteryx appears most consistently favored.


### What top platforms for self-service data preparation?
Based on G2 reviews, self-service data preparation platforms are usually judged by how quickly non-technical or less technical users can clean, combine, and shape data without heavy engineering help. According to verified users, Alteryx is often praised for intuitive workflows, visual steps, and accessibility for users without deep coding backgrounds. G2 reviewers also describe Domo as approachable for both technical and non-technical teams, especially through features like Magic ETL and centralized dashboards. SAS Viya is another option users mention because it combines low-code and no-code workflows with analytics and data prep in one place. Across recent reviews, self-service success usually comes down to usability, guided workflow design, and the ability to reduce dependence on manual spreadsheet processes.


### What best platforms for combining data preparation with ETL processes?
Based on G2 reviews, products that combine data preparation with ETL tend to be valued for reducing tool sprawl and making it easier to move from ingestion to transformation to reporting. According to verified users, Alteryx is frequently used for end-to-end prep workflows including cleansing, blending, and automation. G2 reviewers mention AWS Glue for serverless ETL, schema discovery, and centralized catalog management, especially in AWS-based stacks. Domo is also cited for bringing ETL, integration, analytics, and dashboards together inside one cloud platform. Recent feedback suggests buyers prefer platforms that do more than transform data: they want repeatable workflows, easier handoffs to reporting, and less need to stitch together separate tools for prep and pipeline management.

**Here are some of the top-rated products on G2:**

- [Alteryx](https://www.g2.com/products/alteryx/reviews) – supports automated cleansing, joining, and repeatable ETL-style preparation for analysts
- [AWS Glue](https://www.g2.com/products/aws-glue/reviews) – combines serverless ETL, cataloging, and automated schema handling for cloud data pipelines
- [Domo](https://www.g2.com/products/domo/reviews) – unifies ETL, data integration, and dashboard delivery in one platform


### What best tools for preparing data for machine learning models?
Based on G2 reviews, buyers preparing data for machine learning models often look for products that help with transformation, consistency, and handling complex or large datasets before modeling begins. According to verified users, SAS Viya is frequently mentioned for bringing data preparation, analytics, and machine learning into one environment, which can reduce handoffs between prep and modeling. G2 reviewers also describe dbt as useful for creating tested, documented, and reusable transformation layers that support downstream modeling workflows. Alteryx is another product users call out when they need to cleanse, standardize, and automate repetitive preparation tasks before analysis. Across recent reviews, the strongest value comes from improving data quality and making feature-ready datasets easier to produce consistently.

**Here are some of the top-rated products on G2:**

- [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) – used for preparing data and moving into machine learning workflows within one platform
- [dbt](https://www.g2.com/products/dbt/reviews) – helps teams build tested, documented transformation layers for reliable model inputs
- [Alteryx](https://www.g2.com/products/alteryx/reviews) – valued for automating cleansing and preparation steps before advanced analytics


### Which tool offers AI-powered data preparation suggestions?
Based on G2 reviews, SAS Viya is the clearest fit for this question because verified users explicitly mention AI-powered insights, AI-powered search, and features that help users work with dashboards and data more easily. According to verified users, the platform combines data preparation, analytics, and model-building workflows in a single environment, which supports more guided analysis. G2 reviewers also mention capabilities like Copilot and automated assistance for tasks such as data cleansing and reporting workflows. While several products in this category reference AI features, SAS Viya has the most direct and recurring review language around AI-supported preparation and insight generation in the recent review set. That makes it the strongest grounded answer for buyers prioritizing AI-assisted preparation.




## 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=1327283&focus%5B%5D=989&focus%5B%5D=148877&focus%5B%5D=19607&focus%5B%5D=16291&focus%5B%5D=604&focus%5B%5D=61699)
Highlighted products: Tableau, SAS Viya, Alteryx, dbt, HubSpot Data Hub, KNIME, 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=sas-sas-viya&focus%5B%5D=alteryx&focus%5B%5D=dbt&focus%5B%5D=hubspot-data-hub&focus%5B%5D=knime-analytics-platform&focus%5B%5D=domo&focus%5B%5D=ibm-watson-studio&segment=small-business)


## How Many Data Preparation Software Products Does G2 Track?
**Total Products under this Category:** 109

### Category Stats (Jul 2026)
- **Average Rating**: 4.52/5 The average rating of products in this category, based on all submitted ratings
- **Top Trending Product**: Querri (+2.33%) - Among all products in this category, Querri recorded the largest rating increase compared to last month
*Last updated: July 14, 2026*


## How Does G2 Rank Data Preparation Software Products?

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

- 30 Analysts and Data Experts
- 10,900+ Authentic Reviews
- 109+ 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.



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---


## What Is Data Preparation Software?

[IT Infrastructure Software](https://www.g2.com/categories/it-infrastructure)

## What Software Categories Are Similar to Data Preparation Software?

- [Data Quality Tools](https://www.g2.com/categories/data-quality)
- [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)
- [ETL Tools](https://www.g2.com/categories/etl-tools)


---

## How Do You Choose the Right Data Preparation Software?

### What You Should Know 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. 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

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.