Data updated Jul 3, 2026 · Traffic data: SimilarWeb (estimated)
Graviti accelerates data-driven innovation by improving productivity and achieving scalability for your machine learning projects or business analytics.
Graviti is an AI tool tracked by Relve in the AI Engineering Tools category. It uses a Freemium pricing model and runs on the web at graviti.com.
The Relve catalog tracks 500+ live tools in AI Engineering Tools. Graviti is part of the editorial tracking surface, with a Domain Rating of 17 on Ahrefs' authority scale.
Closest alternatives: Abyss Hub, ACE Studio, Actionbook, Action Sync, Adaapt.AI. Compare Graviti head-to-head with any of these on the /compare surface — same feature axes, pricing tiers, and traffic side-by-side.
Best for: teams looking for ai engineering tools-class capabilities with a freemium entry point. The Relve editorial team refreshes traffic, ranking, and feature data for Graviti on a rolling 24-hour cycle (last updated Jul 3, 2026), so the numbers above reflect the most recent snapshot of where the tool sits in the market. Traffic figures are SimilarWeb estimates.
Secure Data Hosting in the Cloud
Manage your raw data, metadata, and annotations online, streamlining data hosting. You can upload data locally or migrate it from your cloud to Graviti Data Platform, with support for diverse annotation types and complex dataset structures.
Trackable Version Control
Track data versions swiftly without worrying about changes to your data. This feature allows you to publish, tag, and switch versions while visualizing dataset iterations and referencing historical versions.
Efficient Collaboration for Development Teams
Sync and share data safely to enhance collaboration efficiency. This feature includes role-based access control and the ability to search and view datasets within your team, ensuring secure and organized data sharing.
User-friendly Developer Tools
Graviti provides developer tools including SDK, CLI, and API for rapid integration of your data and pipeline. Users can create new datasets, manage data, and access specific documentation and use cases.
Real-time Online Data Visualization
Utilize visualization widgets compatible with common data formats and annotation types. Users can view data distributions in various presentations without needing to download datasets or write code.
Visualize Version Differences
This feature allows users to visualize the differences between any two versions of the same dataset. It enhances understanding of data changes and supports better decision-making.
Interactive Visualization
Interactive data visualization widgets are compatible with major formats for both data and annotations. Users can check statistics of the overall dataset with one click, enhancing data comprehension.
Efficient and Convenient Workflow Automation
Build and customize workflows that integrate pre-annotation, data filtering, and other operations. Workflows can be triggered automatically or manually, providing flexibility in data processing.
Run a Workflow on Any Event
Schedule workflows based on event types such as cron jobs or new commits. This feature automates routine tasks, saving time and effort in data processing.
Configurable System for Data Processing
Users can configure the system for various jobs, including preprocessing and evaluation. The system uses containers to host environments and code, optimizing execution time.
Cost-effective and Fast Data Curation
Manage and maintain your raw data, metadata, and semantic data in one place. Users can query through customizable filters for further processing and curate new datasets efficiently.
Customizable Filters
Query data with customizable filters that can be applied to any metadata and semantic data. This feature enhances the usability and searchability of datasets.
Expandable Columns
New columns can be added to datasets during processing, such as labels and evaluation results. These columns are indexed and can be queried through filters, enhancing data organization.
Starter
Standard
Premium
Cost-effective and Fast Data Curation
For: Data Scientist
Data Version Control for Lineage and Collaboration
For: Data Engineer
Workflow Automation
For: Data Analyst
Identify Imbalanced Data
For: Machine Learning Engineer
Inspect Data Quality
For: Data Quality Analyst
Collaborate across Teams
For: Data Team Member
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Traffic data: SimilarWeb (estimated) · updated Jul 3, 2026
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