Data Preparation Tools
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Alteryx aims to be the launchpad for automation breakthroughs. Be it for personal growth, achieving transformative digital outcomes, or rapid innovation, Alteryx converges analytics, data science and process automation to enable users across organizations to make business-altering…
IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.…
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Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, churn, NBO, risk, and segmentation. Pecan does not require any data…
Keboola provides an open and extensible cloud based data integration platform that enables clients to combine, enhance and publish data for their internal analytics projects and data products. Keboola aims to help companies of all sizes: Reduce time to launch for analytics projectsEnable…
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Explorium, headquartered in San Mateo, provides an External Data Platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning. The automated Explorium Platform enables organizations to discover and use third party…
BigBI enables data specialists to build their own big data pipelines without any coding. BigBI unleashes the power of Apache Spark enabling: Scalable processing of real Big Data, faster Integration of traditional data (SQL, batch files) with modern data sources including semi-structured…
Infoworks headquartered in Palo Alto offers DataFoundry, software to automate data operations and data orchestration for developing and managing big data workflows from ingestion all the way to consumption in cloud, multi-cloud and hybrid environments. Infoworks DataFoundry provides…
Superb AI headquartered in San Mateo provides a machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient…
Activeloop is presented as a fast and simple framework for building and scaling data pipelines for machine learning, from the company of the same name (also known as Snark AI, Inc) in San Francisco.
Quantemplate's data integration, automation and analytics platform aims to turn insurance data sources into trusted insights. It is presented as a data preparation solution for insurance professionals, automating data clean-up, then performing calculations, augmenting with external…
Watertrace BDX is a binder management technology solution from Watertrace in the UK, and is presented as a highly flexible and easy to implement insurance data transformation tool. It enables insurers to change the conversation with their coverholders by processing any bordereau,…
Lore IO is a collaborative data unification platform that promises to help companies ingest and unify disparate data sets from hundreds or thousands of sources. It generates standard outputs without the need for engineers to develop procedural ETL and data pipelines. The vendor aims…
Inzata Analytics promises to be a full-service data analytics platform for integrating, enriching, and exploring data of any kind, from any source, at massive scale. Its AI-Powered data modeling and patented analytics engine aim to help users load, blend, and model raw and unstructured…
Netlink headquartered in Wisconsin offers Dataware, a platform for extracting and preparing data, performing data cleansing, data mapping, data conversion, and combining of data.
Alegion headquartered in Austin offers their data labeling and and annotation platform, designed to deliver production-grade data volume and quality. Advanced machine learning capabilities like conditional logic, multi-stage workflows, and quality control routing accelerate data…
With DATPROF Subset users can extract specific selections out of production databases and make them directly available within the test environment.
Mu Sigma headquartered in Northbrook offers muRx, a problem space modeling, analytics planning and data preparation tool designed to support business decisioning and BI processes.
ChaosSearch, in Boston, is a log analytics solution aims to provide enterprises with data lakes that turn cloud object storage into analytics engines. ChaosSearch features a stateless architecture that separates storage from compute, and data is stored in Amazon S3. It is accessible…
Zuar Runner is used to automate the flow of data from hundreds of potential sources into a single destination. Zuar Runner can collect, transform, model, warehouse, report, monitor and distribute data.
Octolis is a full-stack data platform for marketing teams. It enables marketers to faster analyze and deploy data-driven use cases. Sitting on top of a database, Octolis provides a way to unify, score and sync actionable data in business tools.
Zaloni's end-to-end DataOps software, Arena, provides a collaborative metadata catalog that connects multi-cloud and on-premises data silos, highly-controlled data quality, tokenization and governance tools, and extensible, self-service data enrichment and consumption. Zaloni works…
HighByte is an industrial software company founded in 2018 with headquarters in Portland, Maine USA. The company builds solutions that address the data architecture and integration challenges created by Industry 4.0. HighByte Intelligence Hub, the company’s Industrial DataOps software,…
Cloud based ETL platform that helps businesses collect, aggregate, analyze and report on datasets using automated dashboards. Conversionomics can automate and accelerate the data preparation cycle, even if it means combining thousands of sources, dimensions, and metrics, adding…
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Learn More About Data Preparation Tools
What are Data Preparation Tools?
Data preparation tools are a new class of software products designed to enable business analysts and data scientists to bypass data warehouses to perform some data integration and data preparation themselves before analysis. Data preparation tools handle as much of the data “cleaning” process as possible. Data prep features are often found within larger tools, such as data analytics platforms, BI tools, integration platforms, and broader machine learning platforms.
Data preparation tools can search for and access data throughout an organization, combine it with other external data sets, and do data cleansing and conversions as required before feeding the data back into business intelligence systems for analysis.These emerging tools use machine learning under the hood so that they can iterate and learn where to find insights in data sets, without being explicitly programmed to do so.
Self-service Data Preparation
A big role of data preparation tools is to get data into an analysis-ready state for end users with minimal, or no, data science knowledge. Historically, data preparation has required IT or data science resources for any sort of scaled preparation. Data preparation tools aim to democratize this process by making data preparation accessible for a wider range of users, from IT specialists to data analysts to line-of-business users.
Data preparation tools use several different features and capabilities to enable business-wide self-service. The most important features that virtually all modern data preparation tools include are:
Visual interfaces
Integration with all sources of data within the business
Machine learning for automated insights and recommended preparation steps
Data governance for repeatability and tracking
Data Preparation Tools Comparison
Data preparation tools can be challenging to compare. When evaluating different options, consider these factors:
Visual Interface: Visual interfaces have become the norm for data preparation tools. Buyers should try to work with each interface to get a better sense of how easy to use each one is, especially for the sophistication level of the expected user base (i.e. data scientists vs. non-specialized users). The quality and usability of interfaces are also often a point of note within data preparation reviews.
Tech Stack Integrations: How well does each tool integrate with the existing data sources the organization has? Data prep tools should make data accessibility easy for end-users, but if the tool does not cleanly interface with each data source, users will continue to struggle to centralize data for cleaning, and may even resort to manual processes.
Machine learning capabilities: Most data preparation tools advertise some element of machine learning or AI assistance. However, not all smart tech is created equal. Followup with each vendor on just what this technology can do for users, especially assisting less data-savvy users working within the data preparation tool.
Start a data preparation tool comparison here.
Pricing Information
Pricing will vary primarily depending on whether the product is a standalone data prep tool or a larger integration or analytics solution. Leaders in the space will charge between $100-450/user/month. There are some free open source options as well.