# ClickHouse vs Spark SQL Comparison

---
## Frequently Asked Questions

### What is the difference between Spark SQL vs ClickHouse?

Spark SQL stands out for its slightly higher G2 rating and ease of use, while ClickHouse is recognized for its performance and analytics capabilities.

| [Spark SQL](https://www.g2.com/products/spark-sql/reviews) | [ClickHouse](https://www.g2.com/products/clickhouse/reviews) |
| --- | --- |
| 4.6/5 (47 reviews) | 4.5/5 (23 reviews) |
| — | — |
| 8.8 | 9.0 |
| 8.4 | 8.3 |
| High performance with both small and large datasets | Exceptional query performance and analytics on large datasets |



### How do the pricing models of Spark SQL and ClickHouse compare?

Spark SQL is rated higher for value, with a stronger Price/Cost satisfaction score than ClickHouse.

- **Spark SQL:** Reviewers highlight Spark SQL as cost-effective for handling large datasets, though some mention higher costs compared to traditional databases.
- **ClickHouse:** Reviewers note that ClickHouse's cloud option can be expensive, especially when larger servers are required for optimal performance.



### What are the best alternatives to Spark SQL and ClickHouse?

The best alternatives to Spark SQL and ClickHouse are BigQuery, Oracle Database, and PostgreSQL.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Spark SQL](https://www.g2.com/products/spark-sql/reviews) | 4.6/5 (47 reviews) | — | Cost-effective for large datasets | High performance with both small and large datasets |
| [ClickHouse](https://www.g2.com/products/clickhouse/reviews) | 4.5/5 (23 reviews) | — | Cloud option can be expensive for larger servers | Exceptional query performance and analytics on large datasets |
| [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5 (1224 reviews) | Enterprise | — | — |
| [Oracle Database](https://www.g2.com/products/oracle-database/reviews) | 4.3/5 (1020 reviews) | Enterprise | — | — |
| [PostgreSQL](https://www.g2.com/products/postgresql/reviews) | 4.4/5 (684 reviews) | Small-Business | — | — |



### Which Relational Databases features should I prioritize when comparing Spark SQL and ClickHouse?

Buyers should prioritize performance, ease of setup, quality of support, storage, and analytics capabilities when comparing Spark SQL and ClickHouse.

- **Performance:** Spark SQL (high performance with both small and large datasets), ClickHouse (exceptional query performance and analytics on large datasets, 1 all-time mention for performance optimization)
- **Ease of Setup:** Spark SQL 8.8, ClickHouse 9.0
- **Quality of Support:** Spark SQL 8.4, ClickHouse 8.3
- **Storage:** ClickHouse (1 all-time mention for data storage), Spark SQL (reviewers highlight efficient handling of petabyte-scale data)
- **Analytics Capabilities:** ClickHouse (1 all-time mention for analytics and data analytics), Spark SQL (reviewers cite robust query optimization and unified data processing)



### What are the pros and cons of Spark SQL vs ClickHouse?

Spark SQL's headline strength is its high performance with both small and large datasets, while ClickHouse excels in exceptional query performance and analytics on large datasets.

- **Spark SQL strengths:** High performance with both small and large datasets, robust query optimization, unified data processing, and efficient handling of petabyte-scale data.
- **Spark SQL trade-offs:** Resource-intensive for complex queries, challenging local setup, higher learning curve, and limited real-time processing.
- **ClickHouse strengths:** Exceptional query performance, analytics on large datasets, columnar storage design, fast querying, and strong integration with analytics tools (1 all-time mention each for analytics, performance, data storage, and fast querying).
- **ClickHouse trade-offs:** Initial learning curve, complex query optimization, and higher costs for cloud/server scaling.



### Is Spark SQL or ClickHouse better for small businesses?

PostgreSQL is the top-ranked alternative with a strong small-business segment, but between Spark SQL and ClickHouse, Spark SQL is better suited for small businesses based on reviewer sentiment.

- **Spark SQL:** Reviewers highlight ease of use for those with basic SQL skills and effective handling of both small and large datasets.
- **ClickHouse:** Reviewers note a learning curve and the need for larger servers for optimal performance, which may be less ideal for small businesses.



### Which Relational Databases platform has better integrations?

ClickHouse is favored for integrations, with reviewers citing easy integrations and smooth connections to analytics tools.

- **Spark SQL:** Reviewers mention integration with multiple third-party software and reporting tools in recent reviews.
- **ClickHouse:** Reviewers highlight easy integrations and smooth integration with tools like Grafana and dbt.



### How do Spark SQL and ClickHouse compare on customer support?

Spark SQL and ClickHouse are rated at parity on Quality of Support, with scores of 8.4 and 8.3 respectively.

- **Spark SQL:** Reviewers describe support as responsive and helpful, with several citing positive experiences in troubleshooting and documentation.
- **ClickHouse:** Reviewers mention strong community and documentation support, though some note challenges with advanced use cases and onboarding.



### Which is easier to implement, Spark SQL or ClickHouse?

ClickHouse scores higher on Ease of Setup with a 9.0 versus Spark SQL's 8.8, indicating reviewers find ClickHouse easier to implement.

- **Spark SQL:** Reviewers note a straightforward setup for those familiar with SQL, but mention challenges with local deployment and resource requirements.
- **ClickHouse:** Reviewers highlight ease of implementation and fast setup, with some mentioning a learning curve for advanced features.



### Which product has better Storage?

ClickHouse is favored for Storage, with reviewers citing its columnar storage design and data compression capabilities.

- **Spark SQL:** Reviewers highlight efficient handling of petabyte-scale data and high-speed data processing.
- **ClickHouse:** 1 all-time mention for data storage, with reviewers citing columnar storage, data compression, and optimal storage for large datasets.



| | ClickHouse | Spark SQL | 
|---|---|---|
| **Star Rating** | 4.5 out of 5 | 4.6 out of 5 | 
| **Total Reviews** | 23 | 46 | 
| **Largest Market Segment** | Small-Business (54.5% of reviews) | Enterprise (54.3% of reviews) | 
| **Entry Level Price** | Starting at $1.00 Per Month | No pricing available | 

---
## Top Pros & Cons

### ClickHouse

Pros:
- Easy Integrations (2 reviews)
- Integrations (2 reviews)

Cons:
- Beginner Unfriendliness (1 reviews)
- Complex Usage (1 reviews)

### Spark SQL

**Not enough data**

---
## Ratings Comparison
| Rating | ClickHouse | Spark SQL | 
|---|---|---|
  | **Meets Requirements** | 9.2 (14 reviews) | 8.8 (33 reviews) | 
  | **Ease of Use** | 8.8 (14 reviews) | 9.0 (36 reviews) | 
  | **Ease of Setup** | 9.0 (10 reviews) | 8.8 (15 reviews) | 
  | **Ease of Admin** | 7.5 (6 reviews) | 8.2 (13 reviews) | 
  | **Quality of Support** | 8.3 (12 reviews) | 8.4 (32 reviews) | 
  | **Has the product been a good partner in doing business?** | Not enough data | 8.6 (14 reviews) | 
  | **Product Direction (% positive)** | 10.0 (13 reviews) | 10.0 (30 reviews) | 

---
## Pricing

### ClickHouse

#### Entry-Level Pricing

Plan: ClickHouse Pricing

Price: Starting at $1.00 Per Month

Description: Options for every user, organization, and use case.

Key Features:
- Up to 1 TB storage
- 16 GiB total memory
- Burstable CPU

[Learn more about ClickHouse](https://www.g2.com/products/clickhouse/reviews)

#### Free Trial

No

### Spark SQL

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

---
## Features Comparison By Category

### Database Management Systems (DBMS)

| Product | Score | Reviews |
|---|---|---|
| **ClickHouse** | 8.9/10 | 7 |
| **Spark SQL** | N/A | N/A |

#### Management

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data dictionary** | 9.4 (6 reviews) | Not enough data | 
| **Data Replication** | 7.9 (7 reviews) | Not enough data | 
| **Query Language** | 9.3 (7 reviews) | Not enough data | 
| **Data Modeling** | 9.4 (6 reviews) | Not enough data | 
| **Performance Analysis** | 10.0 (5 reviews) | Not enough data | 
| **Data Synchronization** | Not enough data | Not enough data | 
| **Real-Time Data** | Not enough data | Not enough data | 
| **Data Storage Management** | Not enough data | Not enough data | 

#### Maintenance

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data Migration** | 8.8 (7 reviews) | Not enough data | 
| **Backup and Recovery** | 7.8 (6 reviews) | Not enough data | 
| **Multi-User Environment** | Not enough data | Not enough data | 
| **Automatic Backup** | Not enough data | Not enough data | 
| **Database Conversion** | Not enough data | Not enough data | 

#### Security

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data Encryption** | Not enough data | Not enough data | 
| **User Access Control** | Not enough data | Not enough data | 
| **Mobile Access** | Not enough data | Not enough data | 

#### Additional Functionality

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Workflow Management** | Not enough data | Not enough data | 
| **Third-Party Integrations** | Not enough data | Not enough data | 
| **Data Extraction** | Not enough data | Not enough data | 
| **Relational Database Management** | Not enough data | Not enough data | 
| **SSL Security** | Not enough data | Not enough data | 
| **API** | Not enough data | Not enough data | 
| **Data Connectors** | Not enough data | Not enough data | 
| **Search/Filter** | Not enough data | Not enough data | 
| **Reporting & Statistics** | Not enough data | Not enough data | 
| **Customizable Templates** | Not enough data | Not enough data | 
| **AI Copilot** | Not enough data | Not enough data | 
| **Full Text Search** | Not enough data | Not enough data | 
| **Data Virtualization** | Not enough data | Not enough data | 
| **Data Import/Export** | Not enough data | Not enough data | 
| **Generative AI** | Not enough data | Not enough data | 
| **Drag & Drop** | Not enough data | Not enough data | 
| **Customizable Fields** | Not enough data | Not enough data | 
| **Authentication** | Not enough data | Not enough data | 
| **Data Visualization** | Not enough data | Not enough data | 
| **Secure Data Storage** | Not enough data | Not enough data | 
| **Activity Dashboard** | Not enough data | Not enough data | 
| **Data Mapping** | Not enough data | Not enough data | 
| **Multiple Programming Languages Supported** | Not enough data | Not enough data | 
| **Data Capture and Transfer** | Not enough data | Not enough data | 
| **User Management** | Not enough data | Not enough data | 
| **NOSQL Database Management** | Not enough data | Not enough data | 
| **Access Controls/Permissions** | Not enough data | Not enough data | 
| **Calendar Management** | Not enough data | Not enough data | 
| **Real-Time Monitoring** | Not enough data | Not enough data | 
| **Document Storage** | Not enough data | Not enough data | 
| **Audit Management** | Not enough data | Not enough data | 
| **Charting** | Not enough data | Not enough data | 

### Relational Databases

| Product | Score | Reviews |
|---|---|---|
| **ClickHouse** | 9.0/10 | 6 |
| **Spark SQL** | 8.5/10 | 28 |

#### Management 

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data Schema** | Not enough data | 8.7 (27 reviews) | 
| **Query Language** | 9.3 (5 reviews) | 8.5 (27 reviews) | 
| **ACID - Complaint** | Feature Not Available | 8.3 (23 reviews) | 
| **Data Replication** | Not enough data | 8.3 (26 reviews) | 

#### Support 

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Text Search** | Not enough data | 8.0 (23 reviews) | 
| **Data Types** | Not enough data | 8.2 (28 reviews) | 
| **Languages** | Not enough data | 8.2 (26 reviews) | 
| **Operating Systems** | Not enough data | 8.8 (24 reviews) | 

#### Security

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Database Locking** | Feature Not Available | 8.7 (24 reviews) | 
| **Access Control** | Not enough data | 8.4 (24 reviews) | 
| **Encryption** | Not enough data | 8.4 (22 reviews) | 
| **Authentication** | Not enough data | 8.5 (24 reviews) | 

#### Performance 

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Disaster Recovery** | Not enough data | 8.7 (26 reviews) | 
| **Data Concurrency** | Not enough data | 8.5 (26 reviews) | 
| **Workload Management** | Not enough data | 8.6 (25 reviews) | 
| **Advanced Indexing** | Not enough data | 7.9 (23 reviews) | 
| **Query Optimizer** | Not enough data | 8.7 (26 reviews) | 

#### Database Features

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Storage** | 9.0 (5 reviews) | 8.4 (27 reviews) | 
| **Availability** | 9.3 (5 reviews) | 8.7 (27 reviews) | 
| **Stability** | 9.0 (5 reviews) | 8.8 (28 reviews) | 
| **Scalability** | 9.0 (5 reviews) | 8.9 (28 reviews) | 
| **Security** | Not enough data | 8.5 (27 reviews) | 
| **Data Manipulation** | Not enough data | 8.6 (27 reviews) | 
| **Query Language** | 8.7 (5 reviews) | 8.4 (28 reviews) | 

### Columnar Databases

| Product | Score | Reviews |
|---|---|---|
| **ClickHouse** | 8.5/10 | 9 |
| **Spark SQL** | N/A | N/A |

#### Storage

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data Model** | 9.2 (6 reviews) | Not enough data | 
| **Data Types** | 9.0 (7 reviews) | Not enough data | 

#### Availability

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Auto Sharding** | Feature Not Available | Not enough data | 
| **Auto Recovery** | 7.8 (6 reviews) | Not enough data | 
| **Data Replication** | 8.3 (6 reviews) | Not enough data | 

#### Performance

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Integrated Cache** | 8.1 (6 reviews) | Not enough data | 

#### Security

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Role-Based Authorization** | 9.0 (5 reviews) | Not enough data | 
| **Authentication** | Not enough data | Not enough data | 
| **Audit Logs** | Not enough data | Not enough data | 
| **Encryption** | 8.3 (5 reviews) | Not enough data | 

#### Support

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Multi-Model** | Not enough data | Not enough data | 
| **Operating Systems** | Not enough data | Not enough data | 

### Real-time Analytic Database

| Product | Score | Reviews |
|---|---|---|
| **ClickHouse** | N/A | N/A |
| **Spark SQL** | N/A | N/A |

#### Query latency

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Lower query latency** | Not enough data | Not enough data | 
| **Continuous queries** | Not enough data | Not enough data | 

#### Data latency

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Lower data latency** | Not enough data | Not enough data | 
| **Data pipeline performance** | Not enough data | Not enough data | 

#### Connectors

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Faster ingestion** | Not enough data | Not enough data | 
| **Built-in connectors** | Not enough data | Not enough data | 

#### Scale

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Linearly scalable database** | Not enough data | Not enough data | 
| **Storage management** | Not enough data | Not enough data | 

#### Architecture

| Feature | ClickHouse | Spark SQL | 
|---|---|---|
| **Data security** | Not enough data | Not enough data | 
| **Lockless architecture** | Not enough data | Not enough data | 

---
## Categories
**Shared Categories (1):** [Relational Databases](https://www.g2.com/categories/relational-databases)

**Unique to ClickHouse (3):** [Real-time Analytic Database Software](https://www.g2.com/categories/real-time-analytic-database), [Database Management Systems (DBMS)](https://www.g2.com/categories/database-management-systems-dbms), [Columnar Databases](https://www.g2.com/categories/columnar-databases)



---
## Reviewer Demographics

### By Company Size

| Segment | ClickHouse | Spark SQL | 
|---|---|---|
| **Small-Business** | 54.5% | 26.1% | 
| **Mid-Market** | 36.4% | 19.6% | 
| **Enterprise** | 9.1% | 54.3% | 

### By Industry

#### ClickHouse

- **Information Technology and Services:** 31.8%
- **Computer Software:** 22.7%
- **Wholesale:** 4.5%
- **Telecommunications:** 4.5%
- **Marketing and Advertising:** 4.5%
- **Leisure, Travel & Tourism:** 4.5%
- **Information Services:** 4.5%
- **Hospitality:** 4.5%
- **Hospital & Health Care:** 4.5%
- **Financial Services:** 4.5%
- **Other:** 9.1%

#### Spark SQL

- **Information Technology and Services:** 30.4%
- **Computer Software:** 13.0%
- **Retail:** 6.5%
- **Financial Services:** 6.5%
- **Telecommunications:** 4.3%
- **Program Development:** 4.3%
- **E-Learning:** 4.3%
- **Hospital & Health Care:** 4.3%
- **Electrical/Electronic Manufacturing:** 4.3%
- **Airlines/Aviation:** 2.2%
- **Other:** 19.6%

---
## Alternatives

### Alternatives to ClickHouse

- [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) — 4.5/5 stars (1223 reviews)
- [MySQL](https://www.g2.com/products/mysql/reviews) — 4.4/5 stars (1684 reviews)
- [Snowflake](https://www.g2.com/products/snowflake/reviews) — 4.6/5 stars (762 reviews)
- [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) — 4.4/5 stars (2288 reviews)
- [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) — 4.3/5 stars (374 reviews)
- [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) — 4.3/5 stars (620 reviews)
- [MariaDB](https://www.g2.com/products/mariadb/reviews) — 4.4/5 stars (226 reviews)
- [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) — 4.3/5 stars (404 reviews)
- [Oracle Database](https://www.g2.com/products/oracle-database/reviews) — 4.3/5 stars (1023 reviews)
- [PostgreSQL](https://www.g2.com/products/postgresql/reviews) — 4.4/5 stars (682 reviews)

### Alternatives to Spark SQL

- [Oracle Database](https://www.g2.com/products/oracle-database/reviews) — 4.3/5 stars (1023 reviews)
- [PostgreSQL](https://www.g2.com/products/postgresql/reviews) — 4.4/5 stars (682 reviews)
- [Microsoft SQL Server](https://www.g2.com/products/microsoft-sql-server/reviews) — 4.4/5 stars (2288 reviews)
- [SQLite](https://www.g2.com/products/sqlite/reviews) — 4.3/5 stars (262 reviews)
- [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) — 4.3/5 stars (374 reviews)
- [MySQL](https://www.g2.com/products/mysql/reviews) — 4.4/5 stars (1684 reviews)
- [Amazon Relational Database Service (RDS)](https://www.g2.com/products/amazon-relational-database-service-rds/reviews) — 4.5/5 stars (909 reviews)
- [Amazon Aurora](https://www.g2.com/products/amazon-aurora/reviews) — 4.5/5 stars (456 reviews)
- [Google Cloud SQL](https://www.g2.com/products/google-cloud-sql/reviews) — 4.5/5 stars (367 reviews)
- [IBM Db2](https://www.g2.com/products/ibm-db2/reviews) — 4.1/5 stars (684 reviews)

---
## Top Discussions

### ClickHouse

No discussions available for this product.

### Spark SQL

- Title: [What type of SQL does Spark use?](https://www.g2.com/discussions/what-type-of-sql-does-spark-use) — 2 comments, 1 upvote
  > **Top comment:** "Spark Sql"
- Title: [What is the difference between SQL and Spark SQL?](https://www.g2.com/discussions/what-is-the-difference-between-sql-and-spark-sql) — 1 comment
  > **Top comment:** "Well it's very simple spark sql is used for big data processing, it makes querying the loads of data simple and faster.
Whereas sql isn't suitable for..."
- Title: [What is the functionality of Spark SQL?](https://www.g2.com/discussions/what-is-the-functionality-of-spark-sql) — 1 comment
  > **Top comment:** "Spark sql works with any kind of relational databases that works with sql like Mysql, oracle, mariadb, postgresql"

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/clickhouse-vs-spark-sql)