ClickHouse est un système de gestion de base de données OLAP open-source, orienté colonnes et à haute performance. Il est conçu pour l'analyse en temps réel sur des données à grande échelle, permettant des requêtes ultra-rapides pour l'observabilité, la business intelligence, le ML/GenAI, et plus encore, tout en restant économe en ressources et rentable.
Un outil puissant qui vous permet d'exécuter des requêtes SQL avancées directement sur Google Sheets pour une analyse de données sophistiquée, des mises à jour, suppressions et insertions en masse. Transformez vos feuilles de calcul en une base de données interrogeable.
Aperçu du produit
ClickHouse Aperçu du produit
ClickHouse est un système de gestion de base de données OLAP open-source, orienté colonnes et à haute performance. Il est conçu pour l'analyse en temps réel sur des données à grande échelle, permettant des requêtes ultra-rapides pour l'observabilité, la business intelligence, le ML/GenAI, et plus encore, tout en restant économe en ressources et rentable.
SheetQuery Aperçu du produit
Un outil puissant qui vous permet d'exécuter des requêtes SQL avancées directement sur Google Sheets pour une analyse de données sophistiquée, des mises à jour, suppressions et insertions en masse. Transformez vos feuilles de calcul en une base de données interrogeable.
Detailed feature comparison
| Feature | ClickHouse | SheetQuery |
|---|---|---|
| Catégorie principale | Bases de données | Bases de données |
| Ajouté | 2025-08-01 | 2025-08-11 |
| Tarification | Freemium | Payant |
| Site officiel | clickhouse.com | sheetquery.com |
| Type de produit | Site web | Extension de navigateur |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 786.3K | 643 |
| Croissance mensuelle | 2.8% | 383.5% |
| Favoris | 105 | 101 |
| Details | Voir les détails | Voir les détails |
ClickHouse vs SheetQuery monthly traffic
Compare ClickHouse and SheetQuery by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the ClickHouse vs SheetQuery monthly traffic comparison, ClickHouse currently shows 786.3K visits and SheetQuery shows 643; ClickHouse has about 1,222.8 times the visible traffic of SheetQuery, an absolute difference of about 785.6K 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.
ClickHouse monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 838.4K Visites mensuelles
- 2026/1: 905.2K Visites mensuelles
- 2026/2: 730.9K Visites mensuelles
- 2026/3: 771.1K Visites mensuelles
- 2026/4: 764.9K Visites mensuelles
- 2026/5: 786.3K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 29.07% | 228.6K |
| 🇨🇳China | 21.93% | 172.4K |
| 🇮🇳India | 20.75% | 163.2K |
| 🇷🇺Russia | 20.01% | 157.3K |
| 🇹🇷Turkey | 8.24% | 64.8K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 76.16% | 598.8K |
| Référence | 22.42% | 176.3K |
| 1.42% | 11.2K |
Mots-clés
SheetQuery monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/8: 84 Visites mensuelles
- 2025/9: 349 Visites mensuelles
- 2026/3: 0 Visites mensuelles
- 2026/4: 133 Visites mensuelles
- 2026/5: 643 Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇲🇾Malaysia | 91.26% | 587 |
| 🇮🇳India | 8.74% | 56 |
Mots-clés
Usage comparison
Compare the core capabilities of ClickHouse and SheetQuery
ClickHouse Core features
SheetQuery Core features
Use cases
ClickHouse Use cases
SheetQuery Use cases
ClickHouse vs SheetQuery:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth ClickHouse vs SheetQuery comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. ClickHouse is primarily listed under “Bases de données”, while SheetQuery is primarily listed under “Bases de données”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Product type (ClickHouse: Website; SheetQuery: Browser extension); Pricing (ClickHouse: Freemium; SheetQuery: Paid); Monthly visits (ClickHouse: 786.3K; SheetQuery: 643); Monthly growth (ClickHouse: 2.8%; SheetQuery: 383.5%); Favorites (ClickHouse: 105; SheetQuery: 101). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the ClickHouse vs SheetQuery monthly traffic comparison, ClickHouse currently shows 786.3K visits and SheetQuery shows 643; ClickHouse has about 1,222.8 times the visible traffic of SheetQuery, an absolute difference of about 785.6K 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 ClickHouse 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
ClickHouse and SheetQuery currently overlap in shared categories: Bases de données; shared tags: analyse de données, base de données et SQL. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
ClickHouse's unique categories/tags are Observabilité, Big data, Informatique décisionnelle, Entrepôt de données, apprentissage automatique, OLAP, Open source et Analyse en temps réel; SheetQuery's are Tableurs, Intégration d'API, automatisation, mise à jour en masse, traitement des données, Google Feuilles de calcul et feuille de calcul. 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
ClickHouse has no verified rating, 0 comments, 105 favorites, and 103 likes;SheetQuery has no verified rating, 0 comments, 101 favorites, and 99 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate ClickHouse first
Put ClickHouse on the priority trial list when the task aligns with “Bases de données” and especially Observabilité, Big data, Informatique décisionnelle, Entrepôt de données, apprentissage automatique et OLAP. This follows recorded positioning and does not imply unlisted capabilities are absent.
ClickHouse also currently records: pricing is freemium, product type is website, 786.3K 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 SheetQuery first
Put SheetQuery on the priority trial list when the task aligns with “Bases de données” and especially Tableurs, Intégration d'API, automatisation, mise à jour en masse, traitement des données et Google Feuilles de calcul. This follows recorded positioning and does not imply unlisted capabilities are absent.
SheetQuery also currently records: pricing is paid, product type is browser extension, 643 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 ClickHouse and SheetQuery, 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.




