Top 10 Data Preparation Tools and Software in 2022

Data Preparation Tools

Company editors have created this guide to help buyers find the right data preparation tools for their needs. It can be difficult to choose the right vendor or solution. This requires extensive research. Sometimes it comes down to the solution’s technical capabilities. We’ve compiled a list of the top data preparation tools providers to make your search easier. We have also included the platform and product names as well as introductory tutorials so that you can easily see each solution in action.

What is Data Preparation Tools?

Data preparation tools are iterative, agile process that combines, cleans, transforms, and share curated datasets for various analytics use cases, including data science/machine-learning (ML), analytics/business intelligence (BI), and self-service data import. Data preparation tools allow business users, including analysts, citizen engineers, data scientists, and data engineers, to quickly deliver curated and integrated data.

They allow users to spot anomalies and patterns, improve the quality of their data and review it in a consistent fashion. Some tools include ML algorithms which augment or automate repetitive and mundane tasks such as data preparation. This market is all about reducing the time it takes to deliver data and insights.

Top 10 Best Data Preparation Tools

1. Altair (formerly Datawatch)

AltairMonarch is a desktop-based, self-service data preparation software. It can connect to many data sources, including structured, cloud-based, and big data. No coding is required to connect to data and perform cleansing or manipulation tasks. It features over 80 pre-built data preparation functions. Models built within the tool can be exported to common BI and other analytics platforms. Altair Knowledge Hub is a browser-based service that offers visual-based data preparation and machine learning to suggest data enrichment.

2. Alteryx

The Alteryx Designer is part of the company’s flagship data science and analytics platform. It features an intuitive interface that allows users to connect and clean data from various sources, including cloud applications, data warehouses, spreadsheets, and other data sources. Data quality, integration, and transformation tools are available to users. Alteryx Designer includes data blending to allow spatial data files to be combined with third-party data, such as demographics.

3. Cambridge Semantics

Cambridge Semantics offers Anzo, a data discovery platform that permits users to connect, discover, and blend data. Anzo connects to both internal and external data sources including cloud and on-prem data lakes. Data cataloging is also available using graph models that encode a Semantic layer that describes data in a business context. Data Layers can be added to allow data transformation, transformation, semantic model alignment, and related links. Access control can also be provided.

4. Datameer

Datameer provides a data analytics platform and lifecycle that includes ingestion, data preparation, and exploration, as well as consumption. More than 70 connectors are available to allow users to access structured, semi-structured, and unstructured data. You can upload data directly or use unique links to pull data upon request. Datameer’s interactive spreadsheet interface allows you to combine, transform, and enrich complex data to build data pipelines.

5. Infogix

Infogix offers a variety of integrated data governance capabilities including business glossaries and metadata management. It offers customizable dashboards as well as zero-code workflows that can easily be customized to fit each organization’s data needs. Infogix is used by organizations for data governance, risk management, compliance, and data value administration. It is flexible, easy to use, and can also be used for smaller data analysis jobs.

6. Paxata

Paxata Self Service Data Preparation is a part of its Adaptive Information Platform. This product is flexible in deployment and can be used by anyone who wants it. The visual user interface of the app uses familiar spreadsheet metaphors so users don’t have to learn a whole new tool. The app offers Assisted Intelligence, which provides algorithmic help to deduce the meaning of data and machine learning that captures steps for future data analysis.

7. Trifacta

Trifacta provides a range of tools that can be used to ‘data wrangle’ in three versions: Trifacta Wrangler Edge and Enterprise. Trifacta makes it possible to prepare data without the need to write code or use mapping-based software. Predictive transformation allows users to explore data content and create a recipe that will transform it. Data Wrangler includes data discovery, structuring and cleaning, enriching, validation, and validation capabilities.

8. Talend

Talend Data preparation uses machine-learning algorithms to standardize and cleanse data, recognize patterns, reconcile it, and remove duplicates. It also offers automated guidance to help users navigate the data preparation process. Talend offers governance through role-based access, masking rules and workflow-based curation. You can also share data and prepares, or embed data preparations in bulk, batch, and live data integration.

9. Tamr

Tamr offers Unify, a machine-learning-based data integration product. This solution allows organizations to access any tabular data and publish it wherever they want. You can create schemas using machine learning suggestions, and normalize data formats with Spark and SQL. Tamr’s Master Records gives you a comprehensive view of all entities by asking simple yes or no questions. Dr. Michael Stonebraker and his colleagues created the company. They published their research on the Data Tamer System to handle large-scale data curation in 2013.

10. TMMData

TMMData provides a product called Foundation Platform that includes data integration, preparation, and management functionality. This tool is available on-prem, in the cloud, or in a hybrid model so that organizations can access their data from any location. TMMData offers pre-built integrations and connectors, as well as a graphical workflow that is easy to use for those with no technical skills. TMMData allows users to keep data quality and accuracy by using user-friendly forms. Access controls are also available.

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