Top 10 IBM watsonx.data Alternatives & Competitors

Top 10 Alternatives to IBM watsonx.data Recently Reviewed By G2 Community

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Snowflake
By Snowflake, Inc.
4.6/5
(679)
Product Description
Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience.
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Reviewers say compared to IBM watsonx.data, Snowflake is:
Slower to reach roi
Easier to set up
Easier to admin
Categories in common with IBM watsonx.data:
Big Data Processing and Distribution
Big Data Analytics
Data Science and Machine Learning Platforms
Data Warehouse

Databricks Data Intelligence Platform
By Databricks Inc.
4.6/5
(657)
Product Description
Making big data simple
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Reviewers say compared to IBM watsonx.data, Databricks Data Intelligence Platform is:
Slower to reach roi
Easier to set up
More usable
Categories in common with IBM watsonx.data:
Big Data Processing and Distribution
Big Data Analytics
Data Governance
Data Science and Machine Learning Platforms
Data Warehouse

Google Cloud BigQuery
By Google
4.5/5
(1,209)
Product Description
Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data.
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Reviewers say compared to IBM watsonx.data, Google Cloud BigQuery is:
Easier to set up
Slower to reach roi
Easier to admin
Categories in common with IBM watsonx.data:
Big Data Processing and Distribution
Big Data Analytics
Data Warehouse
ETL Tools
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Domo
By Domo
4.3/5
(985)
Product Description
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.
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Reviewers say compared to IBM watsonx.data, Domo is:
Slower to reach roi
Easier to admin
Easier to do business with
Categories in common with IBM watsonx.data:
Data Governance
Data Science and Machine Learning Platforms
ETL Tools

Alteryx
By Alteryx
4.6/5
(671)
Product Description
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Reviewers say compared to IBM watsonx.data, Alteryx is:
Slower to reach roi
Easier to set up
More usable
Categories in common with IBM watsonx.data:
Big Data Analytics
Data Science and Machine Learning Platforms
ETL Tools

Microsoft SQL Server
By Microsoft
4.4/5
(2,261)
Product Description
SQL Server 2017 brings the power of SQL Server to Windows, Linux and Docker containers for the first time ever, enabling developers to build intelligent applications using their preferred language and environment. Experience industry-leading performance, rest assured with innovative security features, transform your business with AI built-in, and deliver insights wherever your users are with mobile BI.
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Reviewers say compared to IBM watsonx.data, Microsoft SQL Server is:
Slower to reach roi
Easier to admin
More usable
Categories in common with IBM watsonx.data:
Big Data Processing and Distribution

MATLAB
By MathWorks
4.5/5
(765)
Product Description
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.
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Reviewers say compared to IBM watsonx.data, MATLAB is:
Slower to reach roi
Easier to set up
Easier to admin
Categories in common with IBM watsonx.data:
Big Data Analytics
Data Science and Machine Learning Platforms

SAS Viya
By SAS Institute Inc.
4.3/5
(730)
Product Description
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
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Reviewers say compared to IBM watsonx.data, SAS Viya is:
Slower to reach roi
Easier to set up
Categories in common with IBM watsonx.data:
Data Governance
Data Science and Machine Learning Platforms

Posit
By Posit
4.5/5
(568)
Product Description
In addition to our open-source data science software, RStudio produces RStudio Team, a unique, modular platform of enterprise-ready professional software products that enable teams to adopt R, Python, and other open-source data science software at scale.
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Reviewers say compared to IBM watsonx.data, Posit is:
Easier to set up
Easier to admin
Better at meeting requirements
Categories in common with IBM watsonx.data:
Big Data Processing and Distribution
Data Science and Machine Learning Platforms

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