Decartは、リアルタイム生成モデルを開発する先駆的なAI企業です。その中核製品であるMirage、Oasis、Sidekickは、リアルタイムのビデオツービデオ変換、ゲーム用の生成型オープンワールド作成、トークツービデオ体験に特化しており、ライブストリーミング、ゲーム、インタラクティブエンターテイメントなどの業界を革新することを目指しています。
Orcaengineは、簡単なテキスト記述で誰でもゲームを作成、プレイ、改造できるAI搭載のゲーム開発エージェントです。コーディングは不要です。ユーザーが作成したゲームのコミュニティを探索したり、自分のアイデアを即座に実現したりできます。
製品概要
Decart 製品概要
Decartは、リアルタイム生成モデルを開発する先駆的なAI企業です。その中核製品であるMirage、Oasis、Sidekickは、リアルタイムのビデオツービデオ変換、ゲーム用の生成型オープンワールド作成、トークツービデオ体験に特化しており、ライブストリーミング、ゲーム、インタラクティブエンターテイメントなどの業界を革新することを目指しています。
Orcaengine 製品概要
Orcaengineは、簡単なテキスト記述で誰でもゲームを作成、プレイ、改造できるAI搭載のゲーム開発エージェントです。コーディングは不要です。ユーザーが作成したゲームのコミュニティを探索したり、自分のアイデアを即座に実現したりできます。
Detailed feature comparison
Decart vs Orcaengine monthly traffic
Compare Decart and Orcaengine by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Decart vs Orcaengine monthly traffic comparison, Decart currently shows 425.3K visits and Orcaengine shows 376; Decart has about 1,131.1 times the visible traffic of Orcaengine, an absolute difference of about 424.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Decart monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 745.8K 月間訪問数
- 2026/1: 426K 月間訪問数
- 2026/2: 512.2K 月間訪問数
- 2026/3: 399.4K 月間訪問数
- 2026/4: 320.9K 月間訪問数
- 2026/5: 425.3K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 59.25% | 252K |
| 🇷🇺Russia | 15.86% | 67.5K |
| 🇶🇦Qatar | 9.58% | 40.7K |
| 🇬🇧United Kingdom | 8.3% | 35.3K |
| 🇹🇷Turkey | 7.01% | 29.8K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 68.81% | 292.6K |
| 参照元 | 30.4% | 129.3K |
| Eメール | 0.79% | 3.4K |
検索キーワード
Orcaengine monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 806 月間訪問数
- 2026/2: 0 月間訪問数
- 2026/3: 117 月間訪問数
- 2026/4: 140 月間訪問数
- 2026/5: 376 月間訪問数
Usage comparison
Compare the core capabilities of Decart and Orcaengine
Decart Core features
Orcaengine Core features
Use cases
Decart Use cases
Orcaengine Use cases
Best suited roles
Decart Best suited roles
Orcaengine Best suited roles
Decart vs Orcaengine:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Decart vs Orcaengine comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Decart is primarily listed under “生成芸術”, while Orcaengine is primarily listed under “生成”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Decart: 生成芸術; Orcaengine: 生成); Pricing (Decart: Not disclosed; Orcaengine: Freemium); Monthly visits (Decart: 425.3K; Orcaengine: 376); Monthly growth (Decart: 32.5%; Orcaengine: 168.6%); Favorites (Decart: 99; Orcaengine: 101). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Decart vs Orcaengine monthly traffic comparison, Decart currently shows 425.3K visits and Orcaengine shows 376; Decart has about 1,131.1 times the visible traffic of Orcaengine, an absolute difference of about 424.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Decart first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Decart and Orcaengine currently overlap in shared categories: ゲーム開発; shared tags: ゲーム開発; shared roles: コンテンツクリエイター、プロダクトマネージャー、ソフトウェア開発者. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Decart's unique categories/tags are 生成芸術、API、動画生成、AIモデル、拡散モデル、生成AI動画、インタラクティブAI、ライブストリーミング; Orcaengine's are 生成、ノーコード & ローコード、AIゲームジェネレーター、コミュニティゲーム、ゲーム制作、game modding、インディーゲーム、ノーコード. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Decart has no verified rating, 0 comments, 99 favorites, and 107 likes;Orcaengine has no verified rating, 0 comments, 101 favorites, and 100 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Decart first
Put Decart on the priority trial list when the task aligns with “生成芸術” and especially 生成芸術、API、動画生成、AIモデル、拡散モデル、生成AI動画, or the users include AI研究者、ゲーム開発者、配信者、VFXアーティスト. This follows recorded positioning and does not imply unlisted capabilities are absent.
Decart also currently records: pricing is not verified, product type is website, 425.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Orcaengine first
Put Orcaengine on the priority trial list when the task aligns with “生成” and especially 生成、ノーコード & ローコード、AIゲームジェネレーター、コミュニティゲーム、ゲーム制作、game modding, or the users include グラフィックデザイナー. This follows recorded positioning and does not imply unlisted capabilities are absent.
Orcaengine also currently records: pricing is freemium, product type is website, 376 verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Decart and Orcaengine, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.




