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Connexion
ClickHouse
Bases de données · 786.3K visites mensuelles

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.

VS
SheetQuery
Bases de données · 643 visites mensuelles

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.

ClickHouse vs SheetQuery : prix, fonctions et trafic

Comparez ClickHouse et SheetQuery selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

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.

Preview

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.

Preview

Detailed feature comparison

FeatureClickHouseSheetQuery
Catégorie principaleBases de donnéesBases de données
Ajouté2025-08-012025-08-11
TarificationFreemiumPayant
Site officielclickhouse.comsheetquery.com
Type de produitSite webExtension de navigateur
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles786.3K643
Croissance mensuelle2.8%383.5%
Favoris105101
DetailsVoir les détailsVoir 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

Visites mensuelles
786.3K
Durée moyenne
1:49
Pages par visite
2.77
Taux de rebond
49.31%
Data updated 2026-06-15

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/regionPercentageTraffic
🇺🇸United States29.07%228.6K
🇨🇳China21.93%172.4K
🇮🇳India20.75%163.2K
🇷🇺Russia20.01%157.3K
🇹🇷Turkey8.24%64.8K

Sources de trafic

Source typePercentageTraffic
Direct76.16%598.8K
Référence22.42%176.3K
E-mail1.42%11.2K

Mots-clés

click houseclickhouseclickhouse careersclickhouse databaseclickhousedb

SheetQuery monthly traffic:

Latest traffic

Visites mensuelles
643
Durée moyenne
0:00
Pages par visite
1.01
Taux de rebond
31.93%
Data updated 2026-06-15

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/regionPercentageTraffic
🇲🇾Malaysia91.26%587
🇮🇳India8.74%56

Mots-clés

how to show departmentwise salary distribution in google sheetssheetquery
Traffic-based selection guidance: 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.

Usage comparison

Compare the core capabilities of ClickHouse and SheetQuery

ClickHouse Core features

Bases de données
Observabilité

SheetQuery Core features

Bases de données
Tableurs

Use cases

ClickHouse Use cases

analyse de données
base de données
SQL
Big data
Informatique décisionnelle
Entrepôt de données
apprentissage automatique
Observabilité
OLAP
Open source
Analyse en temps réel

SheetQuery Use cases

analyse de données
base de données
SQL
Intégration d'API
automatisation
mise à jour en masse
traitement des données
Google Feuilles de calcul
feuille de calcul

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.

FAQ comparative

How should I choose between ClickHouse and SheetQuery?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.