Top Altair Data Analytics & AI Alternatives and Competitors
Looking to upgrade or change your solution? Take away the guesswork and stay informed with end user feedback to identify and select the solution that best matches your needs.
Altair Data Analytics enables organizations worldwide to compete more effectively by operationalizing data analytics and AI with secure, governed, and scalable strategies. We deliver world-class, self-service analytics solutions for data preparation, predictive modeling, stream processing, visualization and more. Our solutions are designed for many different skill sets: from data scientists and engineers to MLOps specialists to business analysts to executives. With a no-code, cloud-ready interface, organizations can harness the full power of analytics and AI throughout its complete data lifecycle, driving next-level business results.
Common Features
Data Ingestion | Data Pre-Processing | Feature Engineering | Algorithm Diversity | Model Training | Model Tuning | Model Monitoring and Management | Performance and Scalability | Ensembling | Openness and Flexibility | Explainability | Data Exploration and Visualization | Pre-Packaged AI/ML Services | Data Labeling | Algorithm Recommendation
6.9
Composite
Score
+79
Emotional
Footprint
21
Reviews
Best Alternatives and Competitors to Altair Data Analytics & AI
Compare how Altair Data Analytics & AI stacks up to the competition in the areas that matter most to real users to short list options that will best fit your business needs.
MathWorks
MathWorks MATLAB
8.8
Composite
Score
+92
Emotional
Footprint
61
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, MathWorks MATLAB is:
More Innovative
More Reliable
Better at Integrating
More Respectful
More Transparent
More Caring
MATLAB is a high-level language and interactive environment for numerical computation, visualization, and programming. It is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models.
Microsoft Corporation
Microsoft Azure Machine Learning
8.7
Composite
Score
+91
Emotional
Footprint
40
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Microsoft Azure Machine Learning is:
More Respectful
More Reliable
More Innovative
More Caring
Easier to Implement
Better at Integrating
Machine Learning Studio is a powerfully simple browser-based, visual drag-and-drop authoring environment where no coding is necessary. Go from idea to deployment in a matter of clicks. Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool you can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services that can easily be consumed by custom apps or BI tools such as Excel.
Google Cloud Vertex AI
8.7
Composite
Score
+92
Emotional
Footprint
81
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Google Cloud Vertex AI is:
More Inspiring
More Respectful
More Caring
More Reliable
More Innovative
Easier to Implement
Cloud Machine Learning Engine is a managed service that lets developers and data scientists build and run superior machine learning models in production. Cloud ML Engine offers training and prediction services, which can be used together or individually. It has been used by enterprises to solve problems ranging from identifying clouds in satellite images, ensuring food safety, and responding four times faster to customer emails. The training and prediction services within ML Engine are now referred to as AI Platform Training and AI Platform Prediction.
Amazon
AWS Machine Learning
8.4
Composite
Score
+88
Emotional
Footprint
44
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, AWS Machine Learning is:
More Reliable
More Innovative
More Respectful
Better at Integrating
Easier to Implement
Better at Support
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
TensorFlow
TensorFlow TFX
8.2
Composite
Score
+97
Emotional
Footprint
15
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, TensorFlow TFX is:
More Innovative
More Caring
More Inspiring
More Respectful
More Reliable
Easier to Customize
TFX is an end-to-end platform for deploying production ML pipelines. A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually. When you're ready to move your models from research to production, TFX can be used to create and manage a production pipeline.
Databricks
Databricks Data Intelligence Platform
8.1
Composite
Score
+95
Emotional
Footprint
33
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Databricks Data Intelligence Platform is:
More Innovative
More Inspiring
More Caring
Better at Integrating
More Respectful
More Reliable
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.
Microsoft Corporation
Microsoft Fabric
8.0
Composite
Score
+98
Emotional
Footprint
10
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Microsoft Fabric is:
More Innovative
More Caring
More Transparent
More Inspiring
Better at Integrating
More Respectful
Microsoft Fabric is a platform that allows users to get, create, share, and visualize data using an array of tools. Give your data teams all the tools they need in a unified experience that helps reduce the cost and effort of data integration, governance, and security.
Dataiku
Dataiku
8.0
Composite
Score
+94
Emotional
Footprint
28
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Dataiku is:
More Innovative
More Transparent
More Inspiring
More Caring
More Respectful
More Reliable
Dataiku is the platform democratizing access to data and enabling enterprises to build their own path to AI in a human-centric way. With Dataiku, everyone can get involved in data and AI projects on a single platform for design and production that delivers use cases in days, not months. No matter where they sit, they work in a safe and governed way that helps manage risk and create trust to drive high-quality outputs and value for your business.
Eclipse Foundation Inc
Eclipse Deeplearning4j
7.9
Composite
Score
+99
Emotional
Footprint
10
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Eclipse Deeplearning4j is:
More Innovative
More Caring
Easier to Customize
Easier to Use
Easier to Implement
More Transparent
Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs.
KNIME
KNIME Analytics Platform
7.7
Composite
Score
+87
Emotional
Footprint
31
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, KNIME Analytics Platform is:
More Inspiring
More Innovative
Easier to Implement
Easier to Use
Better at Integrating
More Respectful
KNIME offers a complete platform for end-to-end data science, from creating analytical models, to deploying them and sharing insights within the organization, through to data apps and services. The free and open source KNIME Analytics Platform allows users to easily build analyses with an intuitive, low-code/no-code interface. KNIME Business Hub enables users across different disciplines to collaborate and productionize analytical solutions created using KNIME Analytics Platform.
DataRobot, Inc.
DataRobot AI Platform
7.6
Composite
Score
+81
Emotional
Footprint
34
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, DataRobot AI Platform is:
More Innovative
Easier to Use
Easier to Implement
More Respectful
Better at Integrating
Less Transparent
The DataRobot Enterprise AI platform includes two independent but fully integrable machine learning model building products, and each can be deployed in multiple ways to match your business needs and IT requirements. All configurations feature a constantly expanding set of diverse, best-in-class algorithms from R, Python, H2O, Spark, and other sources, giving you the best set of tools for your machine learning and AI projects.
Alteryx
Alteryx
7.4
Composite
Score
+87
Emotional
Footprint
32
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Alteryx is:
Better at Integrating
More Reliable
More Caring
Easier to Use
Easier to Implement
More Inspiring
Alteryx provides a single workflow for data blending, analytics, and reporting. This workflow allows the seamless blending of internal, third party and cloud-based data, and simple analysis using 60+ prebuilt tools for spatial and predictive analytics. With Alteryx Machine Learning’s automated insight generation, you’ll quickly uncover hidden signals and key relationships in your data.
H2O.ai
H2O AI Cloud
7.2
Composite
Score
+86
Emotional
Footprint
13
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, H2O AI Cloud is:
More Innovative
More Inspiring
Easier to Implement
More Respectful
Easier to Customize
Better at Integrating
H2O is a fully open source, distributed in-memory machine learning platform with linear scalability. H2O supports the most widely used statistical & machine learning algorithms including gradient boosted machines, generalized linear models, deep learning and more. H2O also has an industry leading AutoML functionality that automatically runs through all the algorithms and their hyperparameters to produce a leaderboard of the best models.
Altair Engineering, Inc.
Altair RapidMiner
7.2
Composite
Score
+80
Emotional
Footprint
27
Reviews
Reviews Say
Compared to Altair Data Analytics & AI, Altair RapidMiner is:
More Respectful
Better at Integrating
More Inspiring
Easier to Implement
Easier to Use
Less Transparent
Regardless of where your organization is on its data journey, Altair RapidMiner can help overcome the most challenging obstacles in your way. We offer a path to modernization for established data analytics teams as well as a path to automation for teams just getting started. We do this without requiring your organization to radically change your people, processes, computing environment, or existing data landscape, helping you achieve your data goals without changing who you are or what you have.
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