# Cursor vs UltiHash

Cursor records 23,297,751 monthly visits with +8.4% month-over-month growth and Freemium pricing. UltiHash records 4,910 monthly visits with +56.4% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Cursor](https://openaitools.app/tool/cursor) | [UltiHash](https://openaitools.app/tool/ultihash) |
| :--- | :--- | :--- |
| Website URL | https://www.cursor.com | https://www.ultihash.io |
| Categories | AI Code Assistant, AI Developer Tools, AI Agent | AI Developer Tools, Large Language Models (LLMs), AI For Data Analytics, AI Models |
| Pricing Model | Freemium | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 23,297,751 | 4,910 |
| MoM Growth Rate | +8.4% | +56.4% |
| Primary Market | United States | United States |
| Direct Visits | 14,683,770 | 1,952 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 29 | 0 |
| Supported Platforms | Website | Website |

## Cursor

Cursor's editor looks familiar to anyone who has used a modern IDE, but the center of gravity is the agent. Instead of only suggesting the next line, it can read a task description, inspect the repository, produce an implementation plan, modify many files, run commands, and report back with a summary of what changed. Developers keep control by approving plans, reviewing diffs, and stepping in wherever judgment is needed.

The product has expanded well beyond a single application. Cloud agents can run on their own machines for extended periods, Cursor ships a CLI, and integrations bring the same agent into Slack and GitHub so work can be handed off without switching tools. A model picker lets you use frontier models from several providers, or rely on automatic selection per task.

This makes Cursor a good fit for teams that want measurable velocity gains on large codebases while keeping human review in the loop. The trade-offs are mostly about cost and process: capable agents consume quota, remote indexing raises questions for security-conscious organizations, and teams need light conventions for when to delegate versus write code directly.

**Pricing & Plans:** Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers.

- **Agent-driven code changes:** An agentic mode that plans changes, edits several files at once, runs tests, and iterates until the task is complete.
- **Cloud and parallel agents:** Background agents spin up their own environments to build, test, and demo features in parallel, then hand back results for review.
- **Tab completion and codebase context:** Fast inline suggestions plus codebase-wide semantic search and indexing so answers reflect your actual repository.
- **Multi-model flexibility:** Switch between leading frontier models from multiple providers, or let Cursor select a model automatically for each task.
- **CLI, Slack and GitHub workflows:** Run Cursor from the terminal, chat with it in Slack, and let it review or open pull requests in GitHub without leaving your workflow.

**Strengths:** Strong repository-wide context and multi-file edits; Agent runs in the editor, cloud, CLI, Slack, and GitHub; Choose from multiple frontier models in one place; Familiar IDE experience for developers coming from other editors

**Limitations:** Requires a paid plan for the most capable models and higher usage; Learning curve to use agentic workflows effectively; Heavy cloud agent usage can consume plan quota quickly; Codebase indexing sends code to remote services, which some compliance teams must review

[Profile (Markdown)](https://openaitools.app/tool/cursor.md)

## UltiHash

UltiHash is object storage designed around the realities of AI infrastructure: models need to be fed data fast, and datasets are huge and full of redundancy. It provides optimized, S3-compatible storage that keeps GPUs and TPUs saturated during training and inference, and it can be dropped into an existing stack without rewriting pipelines.

Two deployment models cover different needs. UltiHash Serverless is a managed, S3-compatible service securely hosted in Tier 1 EU datacenters with quick setup and no clusters to manage. UltiHash Self-Hosted is Kubernetes-native and aimed at PB-scale workloads, letting teams run in their own cloud, VPC or on-premises with full control and advanced options such as erasure coding, IAM, access policies, encryption and infrastructure monitoring. UltiHash Serverless is also available on cloud marketplaces.

A defining feature is binary-level deduplication, which detects copies and versions at the byte level to cut storage costs — especially valuable for images, logs and model weights. Primary use cases span generative AI and RAG, model training and checkpointing, and data lakehouse deployments in industries from manufacturing computer vision to autonomous vehicles, speech-to-text and telecom network analytics. UltiHash advertises SOC 2 Type II certification, GDPR compliance and a software-defined, no-lock-in architecture, with pricing across pay-as-you-go, subscription and enterprise self-hosted options.

**Pricing & Plans:** UltiHash is freemium/paid with contact-based enterprise options. Serverless managed plans run roughly €0.10–€0.15/GB/month (Hetzner) or €0.19–€0.60/GB/month (AWS) depending on cluster size, each with a 7-day free trial. Self-hosted offers pay-as-you-go near $10.40/TiB/month and subscription near $7.20/TiB/month billed annually, plus a free test license up to 10 TiB and enterprise plans for 1 PiB+.

- **High-throughput performance:** Optimized throughput keeps GPUs and TPUs fed during training and inference so compute is not wasted on I/O bottlenecks.
- **Cost-saving deduplication:** Binary-level deduplication detects duplicate byte strings and versions, lowering the total cost of ownership for large datasets.
- **S3-compatible API:** Drop into existing pipelines without changing your stack, working with Parquet, Iceberg and standard S3 tools.
- **Serverless or self-hosted:** Choose a managed serverless service hosted in EU Tier 1 datacenters, or deploy the Kubernetes-native Self-Hosted edition anywhere.
- **Security and resilience:** Reed-Solomon erasure coding, policy-based access control, versioning, object locking, SOC 2 Type II and GDPR compliance.

**Strengths:** Purpose-built for high-throughput AI training, inference and RAG; Binary-level deduplication meaningfully lowers storage cost at scale; Flexible deployment: managed serverless or Kubernetes-native self-hosted; S3-compatible so it drops into existing pipelines

**Limitations:** Advanced features like erasure coding, IAM and monitoring require configuration effort; Serverless hosting is EU-focused, which may not fit every region; Self-hosted deployments still demand Kubernetes expertise; No permanent free tier — only a time-limited free trial

[Profile (Markdown)](https://openaitools.app/tool/ultihash.md)

## Frequently Asked Questions

### How do Cursor and UltiHash compare in monthly traffic?

Cursor has 23,297,751 monthly visits, while UltiHash has 4,910. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cursor has a month-over-month growth rate of +8.4%; UltiHash has +56.4%.

### How does pricing compare?

Cursor: Freemium. Cursor uses a freemium model: you can start for free with limited usage, then move to paid Pro, team, and enterprise tiers that unlock higher model limits, cloud agents, and administrative controls. Exact seats and credit allowances change over time, so check cursor.com/pricing for current numbers. UltiHash: Freemium, Paid, Contact for Pricing. UltiHash is freemium/paid with contact-based enterprise options. Serverless managed plans run roughly €0.10–€0.15/GB/month (Hetzner) or €0.19–€0.60/GB/month (AWS) depending on cluster size, each with a 7-day free trial. Self-hosted offers pay-as-you-go near $10.40/TiB/month and subscription near $7.20/TiB/month billed annually, plus a free test license up to 10 TiB and enterprise plans for 1 PiB+.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Provides powerful parallel AI coding agents via a desktop command center, but is less integrated into a traditional editor. | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Enables instant cloud-based full-stack app building from natural language, but is less suited for local offline repositories. | [.md](https://openaitools.app/tool/replit.md) |
| 3 | [VS Code](https://openaitools.app/tool/vs-code) | 7,397,370 | -3.8% | Freemium | Offers unmatched extension support and official Copilot integration, but lacks Cursor's out-of-the-box deep codebase indexing and agentic editing. | [.md](https://openaitools.app/tool/vs-code.md) |
| 4 | [Qoder](https://openaitools.app/tool/qoder) | 5,145,040 | +81.8% | Freemium, Free Trial, Free | Features advanced multi-file planning and codebase reading, but lacks Cursor's smooth chat-to-edit inline workflows. | [.md](https://openaitools.app/tool/qoder.md) |
| 5 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Focuses on spec-driven engineering and structured agent planning, but offers less fluid ad-hoc inline code generation than Cursor. | [.md](https://openaitools.app/tool/kiro.md) |
| 6 | [ModelScope](https://openaitools.app/tool/modelscope-community) | 3,085,423 | +5.1% | Free | Open-source model and dataset hub with one-click online demos | [.md](https://openaitools.app/tool/modelscope-community.md) |
| 7 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Operates as a fully autonomous software engineer for complex tasks, but lacks the snappy interactive inline editing of Cursor. | [.md](https://openaitools.app/tool/devin.md) |
| 8 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 9 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Real-time vision AI models and a full platform to train, annotate, and deploy them | [.md](https://openaitools.app/tool/ultralytics.md) |
| 10 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | Delivers a polished AI-native IDE experience with multi-file generation, but has a smaller ecosystem than Cursor. | [.md](https://openaitools.app/tool/trae.md) |

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Source: https://openaitools.app/compare/cursor-vs-ultihash

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)