Best Data Science Software for Cloud

Gathr is a Data+AI fabric, helping enterprises rapidly deliver production-ready data and AI products. Data+AI fabric enables teams to effortlessly acquire, process, and harness data, leverage AI services to generate intelligence, and build consumer applications— all with unparalleled speed, scale, and confidence. Gathr’s self-service, AI-assisted, and collaborative approach enables data and AI leaders to achieve massive productivity gains by empowering their existing teams to deliver more valuable work in less time. With complete ownership and control over data and AI, flexibility and agility to experiment and innovate on an ongoing basis, and proven reliable performance at real-world scale, Gathr allows them to confidently accelerate POVs to production. Additionally, Gathr supports both cloud and air-gapped deployments, making it the ideal choice for diverse enterprise needs. Gathr, recognized by leading analysts like Gartner and Forrester, is a go-to-partner for Fortune 500

MATLAB® combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, rigorously tested, and fully documented. MATLAB apps let you see how different algorithms work with your data. Iterate until you’ve got the results you want, then automatically generate a MATLAB program to reproduce or automate your work. Scale your analyses to run on clusters, GPUs, and clouds with only minor code changes. There’s no need to rewrite your code or learn big data programming and out-of-memory techniques. Automatically convert MATLAB algorithms to C/C++, HDL, and CUDA code to run on your embedded processor or FPGA/ASIC. MATLAB works with Simulink to support Model-Based Design.

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.

A flexible visual query builder lets you get answers in seconds. Analyze data from your phone or browser to work from anywhere. Natural language querying, powered by LLMs lets you ask questions using plain English. No desktop, SQL, or data scientist needed. Shared questions let you learn from team mates, and search for any questions asked across your organization. @mentions, push notifications, and shared chat bring the right people into the conversation and empower you to make data actionable. Easily copy and modify shared questions, export data, and change how charts are displayed to not just view somebody elses’s analysis, but instead make it your own. You can even turn on external sharing to provide access to partners outside your domain or for public datasets. Get the underlying data tables in two taps. Even run full on custom SQL with smart typeaheads to make quick work of joins, aggregations, and calculated fields.

Metacoder makes processing data faster and easier. Metacoder gives analysts needed flexibility and tools to facilitate data analysis. Data preparation steps such as cleaning are managed reducing the manual inspection time required before you are up and running. Compared to alternatives, is in good company. Metacoder beats similar companies on price and our management is proactively developing based on our customers' valuable feedback. Metacoder is used primarily to assist predictive analytics professionals in their job. We offer interfaces for database integrations, data cleaning, preprocessing, modeling, and display/interpretation of results. We help organizations distribute their work transparently by enabling model sharing, and we make management of the machine learning pipeline easy to make tweaks. Soon we will be including code free solutions for image, audio, video, and biomedical data.

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.

Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.

Einblick is the fastest and most collaborative way to explore data, create predictions, and deploy data apps. Our canvases radically change data science workflows by making it so much easier to explore, clean, and manipulate data on a novel interface. We are the only platform that let you collaborate in real-time with your whole team. Decision-making is a group activity, so let’s get everyone involved. Don’t waste time hand-tuning models. Our AutoML is focused on helping you create explainable predictions and identify key drivers without fuss. Einblick packages common analytics functionality into easy-to-use operators that let you abstract repetitive tasks and get to answers faster. From Snowflake to S3 buckets to CSV files, connect your data source and start getting to answers within minutes. Take a list of churned and current customers and join in everything you know about them. Uncover the key factors that led to churn, and identify how at-risk every customer is.

Activate the power of the Kuzzle IoT platform online, with no commitment. Kuzzle publishes open source software for managing the Internet of Things, data, and APIs. Conceived and developed by French engineers, Kuzzle solutions accelerate the deployment of modern applications by offering an open source standard. Our teams are ready to support your IoT projects. Connect and manage your territory while offering new smart services to users. Urban hyper vision with Kuzzle IoT, to manage public lighting, waste and voluntary drop-off points, water, public buildings, parking, and energy consumption. Kuzzle IoT is agnostic and compatible with sensor technologies and all IoT and network connectivity devices. We provide ready-to-use IoT functionalities for all your uses, including geolocation & geofencing, asset tracking, digital twinning, etc. Simplify the deployment of your IoT applications. Activate the power of the Kuzzle IoT platform online, with no commitment.

The Iguazio AI platform operationalizes and de-risks ML & GenAI applications at scale. Implement AI effectively and responsibly in your live business environments. Orchestrate and automate your AI pipelines, establish guardrails to address risk and regulation challenges, deploy your applications anywhere, and turn your AI projects into real business impact. - Operationalize Your GenAI Applications: Go from POC to a live application in production, cutting costs and time-to-market with efficient scaling, resource optimization, automation and data management applying MLOps principles. - De-Risk and Protect with GenAI Guardrails: Monitor applications in production to ensure compliance and reduce risk of data privacy breaches, bias, AI hallucinations and IP infringements.

The biggest challenge to scaling AI-powered decision-making is unused data. IBM Cloud Pak® for Data is a unified platform that delivers a data fabric to connect and access siloed data on-premises or across multiple clouds without moving it. Simplify access to data by automatically discovering and curating it to deliver actionable knowledge assets to your users, while automating policy enforcement to safeguard use. Further accelerate insights with an integrated modern cloud data warehouse. Universally safeguard data usage with privacy and usage policy enforcement across all data. Use a modern, high-performance cloud data warehouse to achieve faster insights. Empower data scientists, developers and analysts with an integrated experience to build, deploy and manage trustworthy AI models on any cloud. Supercharge analytics with Netezza, a high-performance data warehouse.

Drag-and-drop tools and generative AI enable analysts to prepare & blend data up to 100 faster than traditional solutions. Self-service data analytics platform puts the power in every analyst’s hands and removes expensive bottlenecks in the analytics journey. Alteryx Designer is a self-service data analytics platform designed to empower analysts by enabling them to prepare, blend, and analyze data using intuitive, drag-and-drop tools. The platform supports over 300 tools for automation and integrates with more than 80 data sources. With a focus on low-code and no-code capabilities, Alteryx Designer allows users to easily create analytic workflows, accelerate analytics processes with generative AI, and generate insights without needing advanced programming skills. It also enables the output of results to over 70 different tools, making it highly versatile. Designed for efficiency, it allows businesses to speed up data preparation and analysis.

BDB is a modern data analytics and BI platform which can skillfully dive deep into your data to provide actionable insights. It is deployable on the cloud as well as on-premise. Our exclusive microservices based architecture has the elements of Data Preparation, Predictive, Pipeline and Dashboard designer to provide customized solutions and scalable analytics to different industries. BDB’s strong NLP based search enables the user to unleash the power of data on desktop, tablets and mobile as well. BDB has various ingrained data connectors, and it can connect to multiple commonly used data sources, applications, third party API’s, IoT, social media, etc. in real-time. It lets you connect to RDBMS, Big data, FTP/ SFTP Server, flat files, web services, etc. and manage structured, semi-structured as well as unstructured data. Start your journey to advanced analytics today.

Everything you need to make better business decisions. The Fosfor Decision Cloud unifies the modern data ecosystem to deliver the long-sought promise of AI: enhanced business outcomes. The Fosfor Decision Cloud unifies the components of your data stack into a modern decision stack, built to amplify business outcomes. Fosfor works seamlessly with its partners to create the modern decision stack, which delivers unprecedented value from your data investments.

Manage and secure the data lifecycle from the Edge to AI in any cloud or data center. Operates across all major public clouds and the private cloud with a public cloud experience everywhere. Integrates data management and analytic experiences across the data lifecycle for data anywhere. Delivers security, compliance, migration, and metadata management across all environments. Open source, open integrations, extensible, & open to multiple data stores and compute architectures. Deliver easier, faster, and safer self-service analytics experiences. Provide self-service access to integrated, multi-function analytics on centrally managed and secured business data while deploying a consistent experience anywhere—on premises or in hybrid and multi-cloud. Enjoy consistent data security, governance, lineage, and control, while deploying the powerful, easy-to-use cloud analytics experiences business users require and eliminating their need for shadow IT solutions.

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.

ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.