Best Data Preparation Software - Page 3

Compare the Top Data Preparation Software as of August 2025 - Page 3

  • 1
    Coheris Spad

    Coheris Spad

    ChapsVision

    Coheris Spad by ChapsVision is a self-service data analysis studio for Data Scientists from all sectors and industries. Coheris Spad by ChapsVision is taught in many major French and foreign schools and universities, giving it a great reputation in the Data Scientists community. Coheris Spad by ChapsVision provides you with a great methodological wealth covering a very broad spectrum in terms of data analysis. In a user-friendly and intuitive environment, you have all the power you need to discover, prepare and analyze your data. Coheris Spad by ChapsVision allows you to connect to many sources to prepare your data. You have a vast library of data processing functions at your disposal: filtering, stacking, aggregation, transposition, join, management of missing data, search for atypical distributions, statistical or supervised recoding, formatting.
  • 2
    ibi

    ibi

    Cloud Software Group

    We’ve built our analytics machine over 40 years and countless clients, constantly developing the most updated approach for the latest modern enterprise. Today, that means superior visualization, at-your-fingertips insights generation, and the ability to democratize access to data. The single-minded goal? To help you drive business results by enabling informed decision-making. A sophisticated data strategy only matters if the data that informs it is accessible. How exactly you see your data – its trends and patterns – determines how useful it can be. Empower your organization to make sound strategic decisions by employing real-time, customized, and self-service dashboards that bring that data to life. You don’t need to rely on gut feelings or, worse, wallow in ambiguity. Exceptional visualization and reporting allows your entire enterprise to organize around the same information and grow.
  • 3
    Trifacta

    Trifacta

    Trifacta

    The fastest way to prep data and build data pipelines in the cloud. Trifacta provides visual and intelligent guidance to accelerate data preparation so you can get to insights faster. Poor data quality can sink any analytics project. Trifacta helps you understand your data so you can quickly and accurately clean it up. All the power with none of the code. Trifacta provides visual and intelligent guidance so you can get to insights faster. Manual, repetitive data preparation processes don’t scale. Trifacta helps you build, deploy and manage self-service data pipelines in minutes not months.
  • 4
    Anzo

    Anzo

    Cambridge Semantics

    Anzo is a modern data discovery and integration platform that lets anyone find, connect and blend any enterprise data into analytics-ready datasets. Anzo’s unique use of semantics and graph data models makes it practical for the first time for virtually anyone in your organization – from skilled data scientists to novice business users – to drive the data discovery and integration process and build their own analytics-ready datasets. Anzo’s graph data models provide business users with a visual map of enterprise data that is easy to understand and navigate, even when your data is vast, siloed and complex. Semantics add business content to data, allowing users to harmonize data based on shared definitions and build blended, business-ready data on demand.
  • 5
    Incorta

    Incorta

    Incorta

    Direct is the shortest path from data to insight. Incorta empowers everyone in your business with a true self-service data experience and breakthrough performance for better decisions and incredible results. What if you could bypass fragile ETL and expensive data warehouses, and deliver data projects in days, instead of weeks or months? Our direct approach to analytics delivers true self-service in the cloud or on-premises with agility and performance. Incorta is used by the world’s largest brands to succeed where other analytics solutions fail. Across multiple industries and lines of business, we boast connectors and pre-built solutions for your enterprise applications and technologies. Game-changing innovation and customer success happen through Incorta’s partners including Microsoft, AWS, eCapital, and Wipro. Explore or join our thriving partner ecosystem.
  • 6
    Cloud Dataprep
    Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis, reporting, and machine learning. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don’t have to write code. Cloud Dataprep is an integrated partner service operated by Trifacta and based on their industry-leading data preparation solution. Google works closely with Trifacta to provide a seamless user experience that removes the need for up-front software installation, separate licensing costs, or ongoing operational overhead. Cloud Dataprep is fully managed and scales on demand to meet your growing data preparation needs so you can stay focused on analysis.
  • 7
    IBM Databand
    Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.
  • 8
    Weights & Biases

    Weights & Biases

    Weights & Biases

    Experiment tracking, hyperparameter optimization, model and dataset versioning with Weights & Biases (WandB). Track, compare, and visualize ML experiments with 5 lines of code. Add a few lines to your script, and each time you train a new version of your model, you'll see a new experiment stream live to your dashboard. Optimize models with our massively scalable hyperparameter search tool. Sweeps are lightweight, fast to set up, and plug in to your existing infrastructure for running models. Save every detail of your end-to-end machine learning pipeline — data preparation, data versioning, training, and evaluation. It's never been easier to share project updates. Quickly and easily implement experiment logging by adding just a few lines to your script and start logging results. Our lightweight integration works with any Python script. W&B Weave is here to help developers build and iterate on their AI applications with confidence.
  • 9
    Palantir Foundry

    Palantir Foundry

    Palantir Technologies

    Foundry is a transformative data platform built to help solve the modern enterprise’s most critical problems by creating a central operating system for an organization’s data, while securely integrating siloed data sources into a common analytics and operations picture. Palantir works with commercial companies and government organizations alike to close the operational loop, feeding real-time data into your data science models and updating source systems. With a breadth of industry-leading capabilities, Palantir can help enterprises traverse and operationalize data to enable and scale decision-making, alongside best-in-class security, data protection, and governance. Foundry was named by Forrester as a leader in the The Forrester Wave™: AI/ML Platforms, Q3 2022. Scoring the highest marks possible in product vision, performance, market approach, and applications criteria. As a Dresner-Award winning platform, Foundry is the overall leader in the BI and Analytics market and rate
  • 10
    TiMi

    TiMi

    TIMi

    With TIMi, companies can capitalize on their corporate data to develop new ideas and make critical business decisions faster and easier than ever before. The heart of TIMi’s Integrated Platform. TIMi’s ultimate real-time AUTO-ML engine. 3D VR segmentation and visualization. Unlimited self service business Intelligence. TIMi is several orders of magnitude faster than any other solution to do the 2 most important analytical tasks: the handling of datasets (data cleaning, feature engineering, creation of KPIs) and predictive modeling. TIMi is an “ethical solution”: no “lock-in” situation, just excellence. We guarantee you a work in all serenity and without unexpected extra costs. Thanks to an original & unique software infrastructure, TIMi is optimized to offer you the greatest flexibility for the exploration phase and the highest reliability during the production phase. TIMi is the ultimate “playground” that allows your analysts to test the craziest ideas!
  • 11
    Kylo

    Kylo

    Teradata

    Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI.
  • 12
    Microsoft Power Query
    Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors.
  • 13
    SAS Data Loader for Hadoop
    Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
  • 14
    Sentrana

    Sentrana

    Sentrana

    Whether your data is trapped in silos or you’re generating data at the edge, Sentrana gives you the flexibility to create AI and data engineering pipelines wherever your data is. And you can share your AI, Data, and Pipelines with anyone anywhere. With Sentrana, you can achieve newfound agility to effortlessly move between compute environments, while all your data and your work replicates automatically to wherever you want. Sentrana provides a large inventory of building blocks from which you can stitch together custom AI and Data Engineering pipelines. Rapidly assemble and test many different pipelines to create the AI you need. Turn your data into AI with near-zero effort and cost. Since Sentrana is an open platform, newer cutting-edge AI building blocks that are emerging every day are put right at your fingertips. Sentrana turns the Pipelines and AI models you create into re-executable building blocks that anyone on your team can hook into their own pipelines.
  • 15
    Talend Data Preparation
    Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands.
  • 16
    Binary Demand

    Binary Demand

    Binary Demand

    Data is the fuel to any successful sales and marketing strategy. Data deteriorates by 2% every month. The relevance of your data collated via email marketing naturally degrade by about 22.5% every year. The absence of accurate data can make or break a business’s marketing strategy. Therefore, the need of an accurate live database becomes indispensable. Binary Demands’ global contact database can help you overhaul your marketing campaigns and strategies. Your collated data deteriorates over a period of time. Binary Demand provides custom solutions to prevent wastage of your data by making up for its natural degradation. Our customised data solutions include standardisation, de-duping, cleansing, verification etc. This helps in creating a list of probable customers based of criterias such as geography, company size, job titles, industry, etc. Our high accuracy and low cost model makes us the best ROI generating list partner in the marketplace.
  • 17
    DataPreparator

    DataPreparator

    DataPreparator

    DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data.
  • 18
    SAS MDM
    Integrate master data management technologies with those in SAS 9.4. SAS MDM is a web-based application that is accessed through the SAS Data Management Console. It provides a single, accurate and unified view of corporate data, integrating information from various data sources into one master record. SAS® Data Remediation and SAS® Task Manager work together with SAS MDM and as well as with other software offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation enables users to manage and correct issues triggered by business rules in SAS MDM batch jobs and real-time processes. SAS Task Manager is a complementary application to others that integrate with SAS Workflow technologies giving users direct access to a workflow that might have been initiated from another SAS application. Users can start, stop, and transition workflows that have been uploaded to the SAS Workflow server environment.
  • 19
    Zaloni Arena
    End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity.
  • 20
    SolveXia

    SolveXia

    SolveXia

    Digital work platform for finance teams. Automate with simple, yet powerful, drag-and-drop components. Create all of your reports without relying on external IT. Adapt to change and be more agile than your competitors. Easily automate processes that are unique to your company. 100+ automations to manipulate files and data in any format. Connect to all of your data through APIs, SFTP and RPA extensions. Automated data quality checks and exception reporting. Easily store and process massive amounts of data. Embedded BI to create stunning visualisations from your data. Connectors to AI services and support for Python and R models. Replace your disconnected data silos with powerful, end-to-end automation. Create all of of your reports in minutes, allowing you to spend more time on analysis. Processes can pause, request and collect approvals and data from humans. Share processes and data with your team and reduce key-person risk.
  • 21
    Kepler

    Kepler

    Stradigi AI

    Leverage Kepler’s Automated Data Science Workflows and remove the need for coding and machine learning experience. Onboard quickly and generate data-driven insights unique to your organization and your data. Receive continuous updates & additional Workflows built by our world-class AI and ML team via our SaaS-based model. Scale AI and accelerate time-to-value with a platform that grows with your business using the team and skills already present within your organization. Address complex business problems with advanced AI and machine learning capabilities without the need for technical ML experience. Leverage state-of-the-art, end-to-end automation, an extensive library of AI algorithms, and the ability to quickly deploy machine learning models. Organizations are using Kepler to augment and automate critical business processes to improve productivity and agility.
  • 22
    teX.ai

    teX.ai

    teX.ai

    Given the sea of content, your business generates, identifies, and processes only text that is of interest to you, quickly, accurately, and efficiently. Regardless of your business needs, operational agility, faster decisions, obtaining customer insights or more, teXai, a Forbes recognized text analytics company, helps you take advantage of text to propel your business forward. teXai's powerful customizable preprocessor engine identifies and extracts objects of your interest in the nooks and crannies of your organization’s emails, text messages, tables, website, social media, archives, or any documents of your choice. Its intelligent customizable linguistic application identifies text genre, groups, similar content and creates concise summaries so that your business teams can obtain the right context from the right text. The easy-to-use text analytics software extracts the essence of your text and simplifies the decision-making process.
  • 23
    Minitab Connect
    The best insights are based on the most complete, most accurate, and most timely data. Minitab Connect empowers data users from across the enterprise with self-serve tools to transform diverse data into a governed network of data pipelines, feed analytics initiatives and foster organization-wide collaboration. Users can effortlessly blend and explore data from databases, cloud and on-premise apps, unstructured data, spreadsheets, and more. Flexible, automated workflows accelerate every step of the data integration process, while powerful data preparation and visualization tools help yield transformative insights. Flexible, intuitive data integration tools let users connect and blend data from a variety of internal and external sources, like data warehouses, data lakes, IoT devices, SaaS applications, cloud storage, spreadsheets, and email.
  • 24
    PurpleCube

    PurpleCube

    PurpleCube

    Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask.
  • 25
    Data360 Analyze
    The most successful businesses have common denominators: maximizing organizational efficiencies, mitigating risk, growing revenue and innovating – fast. Data360 Analyze is the fastest way to aggregate and organize large amounts of data to uncover valuable insights across business units. Easily access, prep and analyze quality data through its intuitive browser-based architecture. A solid understanding of your organization’s data landscape can shed light on disparate data sources, missing and outlying values and anomalies in data logic. Accelerate the discovery, validation, transformation and blending of data from across your organization to deliver accurate, relevant and trusted information for analysis. Visual data inspection and lineage allow you to trace and access data at any step within the data flow analytic process to collaborate with other stakeholders and build confidence and trust in the data and insights.
  • 26
    Invenis

    Invenis

    Invenis

    Invenis is a data analysis and mining platform. Clean, aggregate and analyze your data in a simple way and scale up to improve your decision making. Data harmonization, preparation and cleansing, data enrichment, and aggregation. Prediction, segmentation, recommendation. Invenis connects to all your data sources, MySQL, Oracle, Postgres SQL, HDFS (Hadoop), and allows you to analyze all your files, CSV, JSON, etc. Make predictions on all your data, without code and without the need for a team of experts. The best algorithms are automatically chosen according to your data and use cases. Repetitive tasks and your recurring analyses are automated. Save time to exploit the full potential of your data! You can work as a team, with the other analysts in your team, but also with all teams. This makes decision-making more efficient and information is disseminated to all levels of the company.
  • 27
    MassFeeds

    MassFeeds

    Mass Analytics

    MassFeeds is a specialized data preparation tool. It allows to automatically and quickly prepare data presenting multiple formats and coming from various sources. It is designed to accelerate and facilitate the data prep process through the creation of automated data pipelines for your marketing mix model. Data is being created and collected at an increasing pace and organizations cannot expect heavy manual data preparation processes to scale. MassFeeds help clients prepare data collected from various sources and present multiple formats using a seamless, automated, and easy-to-tweak process.​ Using MassFeeds’ pipeline of processors, data is structured into a standard format that can easily be ingested for modeling. Avoid manual data preparation which is prone to human errors. Make data processing accessible to a wider spectrum of users. Save more than 40% in processing time by automating repetitive tasks.
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    Savant

    Savant

    Savant

    Automate data access from data platforms and apps, explore, prep, blend, analyze and deliver bot-driven insights where and when needed. From data access to delivery of insights, create workflows in minutes to automate every step of analytics from data access to delivery of insights. Put an end to shadow analytics. Create and collaborate with all stakeholders in one platform. Audit and govern workflows. The single platform for supply-chain, HR, sales & marketing analytics integrating Fivetran, Snowflake, DBT, Workday, Pendo, Marketo, PowerBI. No code. No limits. Savant's no-code platform lets you stitch, transform and analyze data using the same functions you're comfortable using in Excel and SQL. All steps are automatable, so you can focus on analysis, not tedious manual work.
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    Amazon SageMaker Data Wrangler
    Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of data preparation and feature engineering, and complete each step of the data preparation workflow (including data selection, cleansing, exploration, visualization, and processing at scale) from a single visual interface. You can use SQL to select the data you want from a wide variety of data sources and import it quickly. Next, you can use the Data Quality and Insights report to automatically verify data quality and detect anomalies, such as duplicate rows and target leakage. SageMaker Data Wrangler contains over 300 built-in data transformations so you can quickly transform data without writing any code. Once you have completed your data preparation workflow, you can scale it to your full datasets using SageMaker data processing jobs; train, tune, and deploy models.
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    datuum.ai
    AI-powered data integration tool that helps streamline the process of customer data onboarding. It allows for easy and fast automated data integration from various sources without coding, reducing preparation time to just a few minutes. With Datuum, organizations can efficiently extract, ingest, transform, migrate, and establish a single source of truth for their data, while integrating it into their existing data storage. Datuum is a no-code product and can reduce up to 80% of the time spent on data-related tasks, freeing up time for organizations to focus on generating insights and improving the customer experience. With over 40 years of experience in data management and operations, we at Datuum have incorporated our expertise into the core of our product, addressing the key challenges faced by data engineers and managers and ensuring that the platform is user-friendly, even for non-technical specialists.