Top Rated PrimeHub Alternatives
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4.6 out of 5
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2 out of 3 Total Reviews for PrimeHub
4.0 out of 5
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AG
Alfredo G.
IT Consultant
Enterprise(> 1000 emp.)
What do you like best about PrimeHub?
What I like about this tool is its technological capacity to process large amounts of data and store them according to our requirements with a remarkable speed, its interface is quite manageable compared to other similar tools, it also integrates well with other systems facilitating the implementation of various models, being currently one of the most efficient data management tools and it is also easy to implement so it is not a big challenge for new users in this type of solutions. Review collected by and hosted on G2.com.
What do you dislike about PrimeHub?
I like the tool but in some occasions when processing large amounts of data the speed can slow down, I would consider that it is something to improve but not something negative in itself of the tool. Review collected by and hosted on G2.com.
UI
Verified User in Information Technology and Services
Small-Business(50 or fewer emp.)
What do you like best about PrimeHub?
1. Administrator can easily allocate resources to different teams
2. provision of Jupyter notebooks, making it simple fast as a click of a button Review collected by and hosted on G2.com.
What do you dislike about PrimeHub?
It doesn't have a good documentation to refer to
It could be easier if there were good enough tutorials to implement their package Review collected by and hosted on G2.com.
There are not enough reviews of PrimeHub for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Snowflake
4.5
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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.
2
SAP HANA Cloud
4.3
(512)
SAP HANA Cloud is the cloud-native data foundation of SAP Business Technology Platform, it stores, processes and analyzes data in real time at petabyte scale and converges multiple data types in a single system while managing it more efficiently with integrated multitier storage.
3
Vertex AI
4.3
(512)
Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging.
Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster.
If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.
4
SAS Viya
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(410)
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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6
Domo
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Domo is an all-in-one platform that helps you achieve better, faster ROI on your AI and data investments.
Real-time data integration
Connect to over 1,000 data sources, including legacy systems, CRMs, ERPs, and cloud storage platforms like Google BigQuery and Snowflake. Centralize your data while keeping it securely in place for real-time insights without latency.
Generative AI and automation
Use cutting-edge tools like DomoGPT for conversational analytics, auto-generated reports, and intelligent workflows, enabling faster decision-making. Securely build, manage, and deploy machine learning models.
Low-code data preparation
Empower users of all technical levels with Magic ETL, a drag-and-drop environment that simplifies data transformation, removing IT bottlenecks and accelerating self-service analytics.
Advanced reporting and visualization
Easily uncover patterns and insights through dynamic visualizations. Create powerful dashboards and charts that support smarter decision-making and collaboration.
Custom data apps
Build role-specific apps to streamline workflows, boost team productivity, and deliver targeted data solutions that adapt to your unique processes.
Embedded analytics
Deliver insights directly to your stakeholders. Use embedded dashboards and secure role-based access to extend analytics to your team, partners, or clients.
Workflow automation
Save time by automating complex business operations with intuitive, integrated workflows. Focus your team’s energy on initiatives that drive the most impact.
7
MATLAB
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Alteryx
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9
Posit
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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.
10
Altair AI Studio
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RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.
