2021 CRN Big Data 100: 7 Data Science and Machine Learning Companies to Consider

2021 CRN Big Data 100: 7 Data Science and Machine Learning Companies to Consider

Source: CRN

IT news and analysis outlet CRN recently released its 2021 (and ninth annual) Big Data 100, a ranking of prominent big data technology vendors that solution providers should be aware of. The list is made up of established and emerging big data tools vendors. The list is broken down into five distinct product categories that include business analytics, database systems, data management and data integration, database systems, and data science and machine learning tools.

CRN pre-published a list of The Coolest Data Science and Machine Learning Tool Companies included in the overall list via an interactive slideshow. Though the Big Data 100 is aimed at highlighting software vendors for the purposes of solution provider partnering, Solutions Review is most interested in highlighting the vendors from that offer unique products and platforms for enterprise organizations. As such, we’ve read through CRN’s complete rankings, available here, to analyze the trending data science and machine learning companies we think matter most. For an even deeper breakdown of data science and machine learning software, tools, vendors and platforms, consult our popular Buyer’s Guide.

Anaconda

Anaconda offers its data science and machine learning capabilities via a number of different product editions. Its flagship product is Anaconda Enterprise, an open-source Python and R-focused platform. The tool enables you to perform data science and machine learning on Linux, Windows, and Mac OS. Anaconda allows users to download more than 1,500 Python and R data science packages, manage libraries, dependencies, and environments, and analyze data with Dask, NumPy, pandas, and Numba. You can then visualize results generated in Anaconda with Matplotlib, Bokeh, Datashader, and Holoviews.

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

Dataiku

Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch. Users can then apply machine learning and data science techniques to build and deploy predictive data flows. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

DataRobot

DataRobot offers an enterprise AI platform that automates the end-to-end process for building, deploying, and maintaining AI. The product is powered by open-source algorithms and can be leveraged on-prem, in the cloud or as a fully-managed AI service. DataRobot includes several independent but fully integrated tools (Paxata Data Preparation, Automated Machine Learning, Automated Time Series, MLOps, and AI applications), and each can be deployed in multiple ways to match business needs and IT requirements. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

Domino Data Lab

Domino Data Lab offers an enterprise data science platform that allows data scientists to build and run predictive models. The product helps organizations with the development and delivery of these models via infrastructure automation and collaboration. Domino provides users access to a data science Workbench that provides open source and commercial tools for batch experiments, as well as Model Delivery so they can publish APIs and web apps or schedule reports. The company has raised more than $120 million in funding since its founding in 2013. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

H2O.ai

H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O has also developed AutoML functionality that automatically runs through all the algorithms to produce a leaderboard of the best models. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

KNIME

KNIME Analytics is an open-source platform for creating data science. It enables the creation of visual workflows via a drag-and-drop-style graphical interface that requires no coding. Users can choose from more than 2000 nodes to build workflows, model each step of analysis, control the flow of data, and ensure work is current. KNIME can blend data from any source and shape data to derive statistics, clean data, and extract and select features. The product leverages AI and machine learning and can visualize data with classic and advanced charts. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

RapidMiner

RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists need but simplifies AI for everyone else via a visual user interface that streamlines the process of building and understanding complex models. 

Learn more and compare products with the Solutions Review Buyer’s Guide for Data Science and Machine Learning Platforms.

See all the top data science and machine learning companies in the CRN Big Data 100.

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Timothy King

Editorial Director at Solutions Review
Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.
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