Best Data Management Software for R

Compare the Top Data Management Software that integrates with R as of July 2025

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This a list of Data Management software that integrates with R. Use the filters on the left to add additional filters for products that have integrations with R. View the products that work with R in the table below.

What is Data Management Software for R?

Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for R currently available using the table below. This list is updated regularly.

1

Plotly Dash

Plotly

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.

2 Ratings

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2

JMP Statistical Software

JMP Statistical Discovery

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

1 Rating

Starting Price: $1320/year/user

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3

Domino Enterprise MLOps Platform

Domino Data Lab

The Domino platform helps data science teams improve the speed, quality, and impact of data science at scale. Domino is open and flexible, empowering professional data scientists to use their preferred tools and infrastructure. Data science models get into production fast and are kept operating at peak performance with integrated workflows. Domino also delivers the security, governance and compliance that enterprises expect. The Self-Service Infrastructure Portal makes data science teams become more productive with easy access to their preferred tools, scalable compute, and diverse data sets. The Integrated Model Factory includes a workbench, model and app deployment, and integrated monitoring to rapidly experiment, deploy the best models in production, ensure optimal performance, and collaborate across the end-to-end data science lifecycle. The System of Record allows teams to easily find, reuse, reproduce, and build on any data science work to amplify innovation.

1 Rating

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4

Posit

Posit

At Posit, our goal is to make data science more open, intuitive, accessible, and collaborative. We provide tools that make it easy for individuals, teams, and enterprises to leverage powerful analytics and gain the insights they need to make a lasting impact. From the beginning, we’ve invested in open-source software like the RStudio IDE, Shiny, and tidyverse. Because we believe in putting the power of data science tools in the hands of everyone. We develop R and Python-based tools to help you produce higher-quality analysis faster. Securely share data-science applications across your team and the enterprise. Our code is your code. Build on it. Share it. Improve people’s lives with it. Take the time and effort out of uploading, storing, accessing, and sharing your work. We love hearing about the amazing work being done with our tools around the world. And we really love sharing those stories.

1 Rating

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5

AnyChart

AnyChart

AnyChart is an award-winning, flexible JavaScript (HTML5) charting library designed to cover all your needs in data visualization across platforms. Create interactive, beautiful charts, maps, and dashboards for any web, mobile, or standalone project. Designed for developers and businesses alike, AnyChart offers massive out-of-the-box capabilities, supporting 90+ chart types — from line and bar charts to Gantt charts, stock charts, and geospatial visualizations. It easily integrates with any technology stack and connects to any data source. Whether enhancing reports, embedding dashboards into SaaS or on-premises systems, or building entirely new solutions, AnyChart delivers flexibility, simplicity, and powerful results fast. Fully customizable and responsive, it ensures your visuals look great on any device. Trusted by Fortune 500 companies and thousands of developers worldwide. Start creating professional charts, maps, and dashboards with ease — download AnyChart JS today!

Starting Price: $49

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6

Aqua Data Studio

AquaFold, an Idera, Inc. company

Aqua Data Studio is a multiple-platform, integrated development environment (IDE) for data. It provides benefits to a variety of data-centric roles, allowing them to manage a wide range of data sources. Aqua Data Studio provides scalable, cross-platform data management, supporting IT and data-centric specialists, including developers, database administrators, as well as data analysts, data modelers, and data architects. Simplifies tedious tasks involving SQL queries, data, result sets, schema, data models, files, instances, servers, as well as automation. Aqua Data Studio can be installed on the three popular operating systems: Microsoft Windows, Apple macOS, and Linux. The graphical user interface can display the nine of the most widely spoken languages: English, Spanish, French, German, Korean, Portuguese, Japanese, and Chinese. Aqua Data Studio supports over 40 of the most popular data source platforms, including relational, NoSQL, as well as managed cloud data source

Starting Price: $499 per user per year

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7

Mage

Mage

Mage is a tool that transforms your data into predictions. Build, train, and deploy predictive models in minutes. No AI experience required. Increase user engagement by ranking content on your user’s home feed. Increase conversion by showing the most relevant products for a user to buy. Increase retention by predicting which users will stop using your app. Increase conversion by matching users in a marketplace. Data is the most important part in building AI. Mage will guide you through this process with suggestions on how to improve your data, making you an AI expert. AI and its predictions are difficult to understand. Mage explains every metric in-depth, teaching you how your AI model thinks. Get real-time predictions with a few lines of code. Mage makes it easy for you to integrate your AI model in any application.

Starting Price: Free

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8

Trino

Trino

Trino is a query engine that runs at ludicrous speed. Fast-distributed SQL query engine for big data analytics that helps you explore your data universe. Trino is a highly parallel and distributed query engine, that is built from the ground up for efficient, low-latency analytics. The largest organizations in the world use Trino to query exabyte-scale data lakes and massive data warehouses alike. Supports diverse use cases, ad-hoc analytics at interactive speeds, massive multi-hour batch queries, and high-volume apps that perform sub-second queries. Trino is an ANSI SQL-compliant query engine, that works with BI tools such as R, Tableau, Power BI, Superset, and many others. You can natively query data in Hadoop, S3, Cassandra, MySQL, and many others, without the need for complex, slow, and error-prone processes for copying the data. Access data from multiple systems within a single query.

Starting Price: Free

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9

JetBrains Datalore

JetBrains

Datalore is a collaborative data science and analytics platform aimed at boosting the whole analytics workflow and making work with data enjoyable for both data scientists and data savvy business teams across the enterprise. Keeping a major focus on data teams workflow, Datalore offers technical-savvy business users the ability to work together with data teams, using no-code or low-code together with the power of Jupyter notebooks. Datalore enables analytical self-service for business users, enabling them to work with data using SQL and no-code cells, build reports and deep dive into data. It offloads the core data team with simple tasks. Datalore enables analysts and data scientists to share results with ML Engineers. You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.

Starting Price: $19.90 per month

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10

Meteomatics

Meteomatics

Meteomatics specializes in high-resolution commercial weather forecasting, power output forecasting for wind, solar and hydro, weather data gathering from the lower atmosphere using Meteodrones, and weather data delivery via the Weather API. - Unlimited accesses/day - Weather data querying via URL - Unified weather data access for historical and current weather, forecasts, climate models, and data from over 25 weather models - WMS and WFS interface - Delivery of forecasts with an average response time of 20 to 30 ms - 90 m downscaling worldwide - 1800+ parameters - Historical weather data from 1979 Climate data including climate scenarios up to the year 2100 - Secured use with HTTP and HTTPS - Integration with many formats, connectors, and programming languages available - Proprietary European Weather Model with 1 km resolution – EURO1k (Business plan)

Starting Price: $0/month/user

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11

Displayr

Displayr

Displayr is the all-in-one analysis and reporting software purpose-built for survey data. The only tool you'll ever need to uncover and share data stories. Displayr’s one app for everything, fully connecting your survey data, analysis, visualizations, and reports for seamless automation and better, faster insights. When you replace all your complicated analysis and reporting tools with Displayr, amazing things happen. Do everything in a fraction of the time, from data cleaning to analysis to dashboards & presentations. Displayr automatically does your grunt work for you plus it’s faster & easier to do the advanced analysis yourself as well. Share auto-updating interactive reports that are fully connected to the underlying analysis and source data. Doing all your analysis and reporting in one tool leaves you infinitely less room for error. But if a mistake’s spotted, trace it, fix it & auto-update everything.

Starting Price: $2,699 per year

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12

EngineRoom

MoreSteam

EngineRoom powers process improvement with a complete set of problem-solving tools. EngineRoom combines graphical, statistical, and modeling tools for organizing and managing your projects. Analyze your data, manage projects, and map and model processes. Using EngineRoom's intuitive drag-and-drop interface, you can avoid the steep learning curve of desktop data analysis software. EngineRoom includes interactive, patented wizards for both hypothesis testing and design of experiments (DOE) that step you through how to properly analyze your data and clearly report your results. With no installation on client desktops, complex licensing files, or dedicated hard drive storage to manage, you can instantly get up and running. Access your projects from any web browser by signing into your account. When you return to your projects from anywhere, your data and results are saved just the way you left them.

Starting Price: $449 per year

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13

ScrapFly

ScrapFly

Scrapfly offers a suite of APIs designed to streamline web data collection for developers. Their web scraping API enables efficient extraction of web pages, handling challenges like anti-scraping measures and JavaScript rendering. The Extraction API utilizes AI and large language models to parse documents and extract structured data, while the screenshot API allows for capturing high-quality visuals of web pages. These tools are built to scale, ensuring reliability and performance as data needs grow. Scrapfly also provides comprehensive documentation, SDKs in Python and TypeScript, and integrations with platforms like Zapier and Make to facilitate seamless integration into various workflows.

Starting Price: $30 per month

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14

Intel Tiber AI Studio

Intel

Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that unifies and simplifies the AI development process. The platform supports a wide range of AI workloads, providing a hybrid and multi-cloud infrastructure that accelerates ML pipeline development, model training, and deployment. With its native Kubernetes orchestration and meta-scheduler, Tiber™ AI Studio offers complete flexibility in managing on-prem and cloud resources. Its scalable MLOps solution enables data scientists to easily experiment, collaborate, and automate their ML workflows while ensuring efficient and cost-effective utilization of resources.

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15

CrateDB

CrateDB

The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data.

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16

Visplore

Visplore

Visplore is a plug-and-play software solution for rapid advanced analytics of process and asset data. Easy-to-use visualization and automated analytics provide process and maintenance engineers with answers for data-driven decision-making. Increase the speed and value of data analytics by 10x – 100x and master the digital transformation with your subject-matter experts. Highlights: - Work with millions of data records without delay (zooming etc.). - Select, cleanse, label and export data interactively - Connect with Python, R, Matlab, CSV, databases and OSISoft PI to get started in 1 minute.

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17

DataWorks

Alibaba Cloud

DataWorks is a Big Data platform product launched by Alibaba Cloud. It provides one-stop Big Data development, data permission management, offline job scheduling, and other features. DataWorks works straight ‘out-the-box’ without the need to worry about complex underlying cluster establishment and operations & management. You can drag and drop nodes to create a workflow. You can also edit and debug your code online, and ask other developers to join you. Supports data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Supports task monitoring and sends alarms when errors occur to avoid service interruptions. Runs millions of tasks concurrently and supports hourly, daily, weekly, and monthly schedules. DataWorks is the best platform for building big data warehouses and provides comprehensive data warehousing services. DataWorks provides a full solution for data aggregation, data processing, data governance, and data services.

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18

JetBrains DataSpell

JetBrains

Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.

Starting Price: $229

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19

Zerve AI

Zerve AI

Merging the best of a notebook and an IDE into one integrated coding environment, experts can explore their data and write stable code at the same time with fully automated cloud infrastructure. Zerve’s data science development environment gives data science and ML teams a unified space to explore, collaborate, build, and deploy data science & AI projects like never before. Zerve offers true language interoperability, meaning that as well as being able to use Python, R, SQL, or Markdown all in the same canvas, users can connect these code blocks to each other. No more long-running code blocks or containers, with Zerve enjoying unlimited parallelization at any stage of the development journey. Analysis artifacts are automatically serialized, versioned, stored, and preserved for later use, meaning easily changing a step in the data flow without needing to rerun any preceding steps. Fine-grained selection of compute resources and extra memory for complex data transformation.

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20

Zepl

Zepl

Sync, search and manage all the work across your data science team. Zepl’s powerful search lets you discover and reuse models and code. Use Zepl’s enterprise collaboration platform to query data from Snowflake, Athena or Redshift and build your models in Python. Use pivoting and dynamic forms for enhanced interactions with your data using heatmap, radar, and Sankey charts. Zepl creates a new container every time you run your notebook, providing you with the same image each time you run your models. Invite team members to join a shared space and work together in real time or simply leave their comments on a notebook. Use fine-grained access controls to share your work. Allow others have read, edit, and run access as well as enable collaboration and distribution. All notebooks are auto-saved and versioned. You can name, manage and roll back all versions through an easy-to-use interface, and export seamlessly into Github.

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21

ggplot2

ggplot2

ggplot2 is a system for declaratively creating graphics, based on The Grammar of Graphics. You provide the data, tell ggplot2 how to map variables to aesthetics, what graphical primitives to use, and it takes care of the details. ggplot2 is now over 10 years old and is used by hundreds of thousands of people to make millions of plots. That means, by-and-large, ggplot2 itself changes relatively little. When we do make changes, they will be generally to add new functions or arguments rather than changing the behavior of existing functions, and if we do make changes to existing behavior we will do them for compelling reasons. If you are new to ggplot2 you are better off starting with a systematic introduction, rather than trying to learn from reading individual documentation pages.

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22

Decentriq

Decentriq

Privacy-minded organizations work with Decentriq. With the latest advancements in encryption and privacy-enhancing technologies such as synthetic data, differential privacy, and confidential computing, your data stays under your control at all times. End-to-end encryption keeps your data private to all other parties. Decentriq cannot see or access your data. Remote attestation gives you verification that your data is encrypted and only approved analyses are running. Built-in partnership with market-leading hardware and infrastructure providers. Designed to handle even advanced AI and machine learning models, the platform keeps your data inaccessible no matter the challenge. With processing speeds approaching typical cloud levels, you don’t have to sacrifice scalability for excellent data protection. Our growing network of data connectors supports more streamlined workflows across leading data platforms.

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23

Algoreus

Turium AI

All your data needs are delivered in one powerful platform. From data ingestion/integration, transformation, and storage to knowledge catalog, graph networks, data analytics, governance, monitoring, and, sharing. An AI/ML platform that lets enterprises, train, test, troubleshoot, deploy, and govern models at scale to boost productivity while maintaining model performance in production with confidence. A dedicated solution for training models with minimal effort through AutoML or training your case-specific models from scratch with CustomML. Giving you the power to connect essential logic from ML with data. An integrated exploration of possible actions. Integration with your protocols and authorization models. Propagation by default; extreme configurability at your service. Leverage internal lineage system, for alerting and impact analysis. Interwoven with the security paradigm; provides immutable tracking.

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24

Timbr.ai

Timbr.ai

The smart semantic layer integrates data with business meaning and relationships, unifies metrics, and accelerates the delivery of data products with 90% shorter SQL queries. Easily model data using business terms to give it common meaning and align business metrics. Define semantic relationships that substitute JOINs so queries become much simpler. Use hierarchies and classifications to better understand data. Automatically map data to the semantic model. Join multiple data sources with a powerful distributed SQL engine to query data at scale. Consume data as a connected semantic graph. Boost performance and save compute costs with an intelligent cache engine and materialized views. Benefit from advanced query optimizations. Connect to most clouds, datalakes, data warehouses, databases, and any file format. Timbr empowers you to work with your data sources seamlessly. When a query is run, Timbr optimizes the query and pushes it down to the backend.

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25

Betteromics

Betteromics

Betteromics is deployed as a Private SaaS in your VPC so you can draw connections on all your data. Reproducibly validate your structured and unstructured data using configurable rules. Trace and audit your data from input to analysis with complete data provenance. Use natural language processing and large language models to abstract data elements from clinical records for QC, labeling, and analysis. Quickly develop and tune models specific to your task/data: detect anomalies, make predictions, understand your data, and optimize your processes. Enhance and complement your analysis and machine learning with integration-ready public datasets. Clinical-grade security including full encryption, data traceability, and role-based access controls.

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26

IBM SPSS Modeler

IBM

IBM SPSS Modeler is a leading visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations worldwide use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets. IBM SPSS Modeler automatically transforms data into the best format for the most accurate predictive modeling. It now only takes a few clicks for you to analyze data, identify fixes, screen out fields and derive new attributes. Leverage IBM SPSS Modeler’s powerful graphics engine to bring your insights to life. The smart chart recommender finds the perfect chart for your data from among dozens of options, so you can share your insights quickly and easily using compelling visualizations.

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