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# Apache Parquet vs Azure Cosmos DB Comparison - What are their main differences?

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Apache ParquetAzure Cosmos DB[+ Add Product](#)

Reviews

**Apache Parquet** [

4.3/5(27)

](https://www.g2.com/products/apache-parquet/reviews#reviews)

**Azure Cosmos DB** [

4.2/5(68)

](https://www.g2.com/products/azure-cosmos-db/reviews#reviews)

Pricing

**Apache Parquet**
No pricing available

**Azure Cosmos DB**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Apache Parquet**
Not enough reviews yet

**Azure Cosmos DB**
4 months

Based on 7 responses

Return on Investment

**Apache Parquet**
Not enough reviews yet

**Azure Cosmos DB**
9 months

Based on 7 responses

Perceived Cost

**Apache Parquet**
Not enough reviews yet

**Azure Cosmos DB**
$$$$$

Average Discount

**Apache Parquet**
Not enough reviews yet

**Azure Cosmos DB**
19%

Pros & Cons

**Apache Parquet**
Not enough data

**Azure Cosmos DB**
[
Ease of Use (4)
](https://www.g2.com/products/azure-cosmos-db/reviews?filters%5Bsentiment_snippet%5D=1954161&qs=pros-and-cons#reviews)[
Scalability (3)
](https://www.g2.com/products/azure-cosmos-db/reviews?filters%5Bsentiment_snippet%5D=1954158&qs=pros-and-cons#reviews)[
Expensive (3)
](https://www.g2.com/products/azure-cosmos-db/reviews?filters%5Bsentiment_snippet%5D=1578928&qs=pros-and-cons#reviews)[
Cost Issues (2)
](https://www.g2.com/products/azure-cosmos-db/reviews?filters%5Bsentiment_snippet%5D=1578403&qs=pros-and-cons#reviews)

Ratings

Meets Requirements

**Apache Parquet**

8.5

8.521

**Azure Cosmos DB**

8.5

8.548

Ease of Use

**Apache Parquet**

7.7

7.722

**Azure Cosmos DB**

8.2

8.248

Ease of Setup

**Apache Parquet**

7.2

7.29

**Azure Cosmos DB**

8.0

8.022

Ease of Admin

**Apache Parquet**

7.6

7.69

**Azure Cosmos DB**

7.7

7.723

Quality of Support

**Apache Parquet**

8.1

8.119

**Azure Cosmos DB**

8.2

8.246

Has the product been a good partner in doing business?

**Apache Parquet**

7.5

7.58

**Azure Cosmos DB**

8.3

8.322

Product Direction (% positive)

**Apache Parquet**

8.6

8.625

**Azure Cosmos DB**

9.0

9.047

Features

Document Databases[Hide 54 FeaturesShow 54 Features](javascript:void(0);)

Not enough data

7.7

7

Data Management

Data Model

Not enough data

8.3(won by default)

6

Data Types

Not enough data

7.8(won by default)

6

Built - In Search

Not enough data

7.0(won by default)

5

Event Triggers

Not enough data

7.7(won by default)

5

Semantic Search

Not enough data

Not enough data

Availability

Auto Sharding

Not enough data

7.3(won by default)

5

Auto Recovery

Not enough data

7.3(won by default)

5

Data Replication

Not enough data

8.7(won by default)

5

Backup and Recovery

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Performance

Query Optimization

Not enough data

6.7(won by default)

6

Ad hoc Query

Not enough data

Not enough data

Security

Role-Based Authorization

Not enough data

8.1(won by default)

6

Authentication

Not enough data

7.7(won by default)

5

Audit Logs

Not enough data

7.3(won by default)

5

Encryption

Not enough data

8.0(won by default)

5

Support

Multi-Model

Not enough data

Not enough data

Operating Systems

Not enough data

Not enough data

BI Connectors

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Additional Functionality

Database Conversion

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Automatic Backup

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Audit Management

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Compliance Management

Not enough data

Not enough data

Indexing

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Data Verification

Not enough data

Not enough data

Performance Testing

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Security Auditing

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Data Retrieval

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Configuration Management

Not enough data

Not enough data

Audit Trail

Not enough data

Not enough data

For NoSQL Databases

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

API

Not enough data

Not enough data

Serverless Accessibility

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Columnar Databases[Hide 12 FeaturesShow 12 Features](javascript:void(0);)

8.4

16

Not enough data

Storage

Data Model

9.0(won by default)

13

Not enough data

Data Types

8.8(won by default)

12

Not enough data

Availability

Auto Sharding

7.4(won by default)

14

Not enough data

Auto Recovery

8.2(won by default)

12

Not enough data

Data Replication

8.8(won by default)

12

Not enough data

Performance

Integrated Cache

8.6(won by default)

12

Not enough data

Security

Role-Based Authorization

9.0(won by default)

12

Not enough data

Authentication

7.9(won by default)

12

Not enough data

Audit Logs

7.9(won by default)

12

Not enough data

Encryption

8.6(won by default)

12

Not enough data

Support

Multi-Model

8.9(won by default)

12

Not enough data

Operating Systems

8.2(won by default)

12

Not enough data

Database as a Service (DBaaS)[Hide 17 FeaturesShow 17 Features](javascript:void(0);)

Not enough data

7.8

21

Configuration

Application Performance

Not enough data

8.6(won by default)

16

Orchestration

Not enough data

7.8(won by default)

15

Database Monitoring

Not enough data

8.3(won by default)

15

Anomaly Detection

Not enough data

7.2(won by default)

9

Network Security

Not enough data

8.7(won by default)

15

Database Administration

Provisioning

Not enough data

8.4(won by default)

15

Governance

Not enough data

7.6(won by default)

9

Auditing

Not enough data

7.1(won by default)

8

Availability

Scalability

Not enough data

8.9(won by default)

16

Backup

Not enough data

8.3(won by default)

16

Archiving

Not enough data

8.4(won by default)

15

Indexing

Not enough data

8.6(won by default)

16

Security

Data Masking

Not enough data

7.2(won by default)

6

Authentication And Single Sign-On

Not enough data

7.2(won by default)

6

Data Anonymization

Not enough data

5.6(won by default)

6

Data Management

Data Replication

Not enough data

8.1(won by default)

7

Advanced Data Analytics

Not enough data

7.4(won by default)

7

Show 3 feature categories with incomplete data

Key Value Databases[Hide 12 FeaturesShow 12 Features](javascript:void(0);)

Not enough data

Not enough data

Data Management

Data Model

Not enough data

Not enough data

Data Types

Not enough data

Not enough data

Availability

Auto Sharding

Not enough data

Not enough data

Auto Recovery

Not enough data

Not enough data

Data Replication

Not enough data

Not enough data

Performance 

Integrated Cache

Not enough data

Not enough data

Security

Role-Based Authorization

Not enough data

Not enough data

Authentication

Not enough data

Not enough data

Audit Logs

Not enough data

Feature Not Available

Encryption

Not enough data

Not enough data

Support

Multi-Model

Not enough data

Not enough data

Operating Systems

Not enough data

Not enough data

Graph Databases[Hide 15 FeaturesShow 15 Features](javascript:void(0);)

Not enough data

Not enough data

Data Management

Data Model

Not enough data

Not enough data

Data Types

Not enough data

Not enough data

Built - In Search

Not enough data

Not enough data

Event Triggers

Not enough data

Not enough data

Query Language

Not enough data

Not enough data

Availability

Auto Sharding

Not enough data

Not enough data

Auto Recovery

Not enough data

Not enough data

Performance

Query Optimization

Not enough data

Not enough data

Security

Role-Based Authorization

Not enough data

Not enough data

Authentication

Not enough data

Not enough data

Audit Logs

Not enough data

Not enough data

Encryption

Not enough data

Not enough data

Support

Multi-Model

Not enough data

Not enough data

BI Connectors

Not enough data

Not enough data

Operating Systems

Not enough data

Not enough data

NoSQL Databases[Hide 7 FeaturesShow 7 Features](javascript:void(0);)

Not enough data

Not enough data

Database Features

Storage

Not enough data

Not enough data

Availability

Not enough data

Not enough data

Stability

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Security

Not enough data

Not enough data

Data Manipulation

Not enough data

Not enough data

Query Language

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Apache Parquet](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b350900e1c1cde239f398145fc13d8f3/apache-parquet.jpg "Apache Parquet")](https://www.g2.com/products/apache-parquet/reviews)

Apache Parquet

Small-Business(50 or fewer emp.)

30.8%

Mid-Market(51-1000 emp.)

50.0%

Enterprise(\> 1000 emp.)

19.2%

[![Azure Cosmos DB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-cosmos-db.jpg "Azure Cosmos DB")](https://www.g2.com/products/azure-cosmos-db/reviews)

Azure Cosmos DB

Small-Business(50 or fewer emp.)

30.5%

Mid-Market(51-1000 emp.)

27.1%

Enterprise(\> 1000 emp.)

42.4%

Small-Business

(50 or fewer emp.)

30.8%

30.5%

Mid-Market

(51-1000 emp.)

50.0%

27.1%

Enterprise

(\> 1000 emp.)

19.2%

42.4%

Reviewers' Industry

[![Apache Parquet](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_b350900e1c1cde239f398145fc13d8f3/apache-parquet.jpg "Apache Parquet")](https://www.g2.com/products/apache-parquet/reviews)
Apache Parquet

Computer Software

38.5%

Information Technology and Services

19.2%

Financial Services

7.7%

Education Management

7.7%

Hospital & Health Care

3.8%

Other

23.1%

[![Azure Cosmos DB](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-cosmos-db.jpg "Azure Cosmos DB")](https://www.g2.com/products/azure-cosmos-db/reviews)
Azure Cosmos DB

Information Technology and Services

23.7%

Computer Software

20.3%

Internet

8.5%

Retail

5.1%

Computer & Network Security

3.4%

Other

39.0%

FAQs

## Apache Parquet vs Azure Cosmos DB FAQs

Generated using AI

Last updated: August 15, 2026

### What is the difference between Apache Parquet vs Azure Cosmos DB?

Apache Parquet is favored for its performance and compatibility in big data analytics, while Azure Cosmos DB stands out for its ease of use and strong support.

| [Apache Parquet](https://www.g2.com/products/apache-parquet/reviews) | [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) |
| --- | --- |
| 4.3/5 (27 reviews) | 4.2/5 (68 reviews) |
| Mid-Market | Enterprise |
| 7.2 | 8.0 |
| 8.1 | 8.2 |
| Performance and cross-platform compatibility | Ease of use and strong customer support |

### How do the pricing models of Apache Parquet and Azure Cosmos DB compare?

Reviewers consider Apache Parquet the stronger value due to higher satisfaction with cost, while Azure Cosmos DB is frequently cited as expensive.

- **Apache Parquet:** Reviewers highlight its open-source nature and efficient storage as cost-saving advantages.
- **Azure Cosmos DB:** In recent reviews, many cite high costs and the need for careful optimization to control expenses.
- **Switching reasons:** Reviewers mention moving to Apache Parquet for its lower cost and open-source flexibility, while Azure Cosmos DB is chosen for managed services despite higher pricing.

### What are the best alternatives to Apache Parquet and Azure Cosmos DB?

The best alternatives to Apache Parquet and Azure Cosmos DB are Amazon DynamoDB, ClickHouse, and Arango.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Apache Parquet](https://www.g2.com/products/apache-parquet/reviews) | 4.3/5 (27) | Mid-Market | Open-source, cost-saving | Performance and compatibility |
| [Azure Cosmos DB](https://www.g2.com/products/azure-cosmos-db/reviews) | 4.2/5 (68) | Enterprise | High cost, managed service | Ease of use, strong support |
| [Amazon DynamoDB](https://www.g2.com/products/amazon-web-services-aws-amazon-dynamodb/reviews) | 4.4/5 (529) | Small-Business | — | Scalability and performance |
| [ClickHouse](https://www.g2.com/products/clickhouse/reviews) | 4.5/5 (23) | — | — | High-speed analytics |
| [Arango](https://www.g2.com/products/arango/reviews) | 4.6/5 (115) | Small-Business | — | Multi-model flexibility |

### Which Columnar Databases features should I prioritize when comparing Apache Parquet and Azure Cosmos DB?

Buyers should prioritize ease of setup, quality of support, performance, compatibility, and scalability when comparing Apache Parquet and Azure Cosmos DB.

- **Ease of Setup:** Apache Parquet scores 7.2, Azure Cosmos DB scores 8.0.
- **Quality of Support:** Apache Parquet scores 8.1, Azure Cosmos DB scores 8.2.
- **Performance:** Apache Parquet is frequently cited for high performance in big data analytics; Azure Cosmos DB is noted for fast and secure operations.
- **Compatibility:** Apache Parquet is praised for cross-platform compatibility and integration with tools like Apache Spark and Hive; Azure Cosmos DB is recognized for easy integration with Microsoft services.
- **Scalability:** Azure Cosmos DB receives multiple mentions for scalability and global distribution.

### What are the pros and cons of Apache Parquet vs Azure Cosmos DB?

Apache Parquet's headline strength is performance and compatibility, while Azure Cosmos DB excels in ease of use and support.

- **Apache Parquet strengths:** High performance for big data analytics, efficient storage with compression, cross-platform compatibility, schema evolution, and open-source flexibility.
- **Apache Parquet trade-offs:** Steep learning curve, complexity in setup and maintenance, less suitable for real-time data, and limited support for small-scale data.
- **Azure Cosmos DB strengths:** Ease of use (4 all-time mentions), strong customer support, high scalability (3 mentions), integration with Microsoft services, and security protection (2 mentions).
- **Azure Cosmos DB trade-offs:** High cost (3 all-time mentions), complexity for new users, and the need for optimization to control expenses.

### Is Apache Parquet or Azure Cosmos DB better for small businesses?

Amazon DynamoDB is the better fit for small businesses, but between Apache Parquet and Azure Cosmos DB, Apache Parquet aligns more closely with small-business needs due to its open-source model and cost advantages.

- **Apache Parquet:** Largest segment is Mid-Market, but reviewers highlight its cost-saving benefits and open-source flexibility, which are attractive to small businesses.
- **Azure Cosmos DB:** Largest segment is Enterprise, and reviewers frequently cite high costs as a concern for smaller organizations.

### Which Columnar Databases platform has better integrations?

Azure Cosmos DB is favored for integrations, with reviewers citing easy integration with Microsoft services and APIs.

- **Apache Parquet:** Reviewers mention compatibility with Apache Spark, Apache Hive, and Apache Impala in recent reviews.
- **Azure Cosmos DB:** Integrations with Office 365, Active Directory, and APIs are highlighted in recent reviews, with 3 all-time mentions for integrations and 2 for easy integrations.

### How do Apache Parquet and Azure Cosmos DB compare on customer support?

Azure Cosmos DB and Apache Parquet are at near-parity on Quality of Support, with scores of 8.2 and 8.1 respectively.

- **Apache Parquet:** Reviewers describe support as helpful, with scores consistently between 6.0 and 7.0 in recent reviews.
- **Azure Cosmos DB:** Reviewers highlight strong customer support, with several citing quick issue resolution and helpful staff, and a Quality of Support score of 8.2.

### Which is easier to implement, Apache Parquet or Azure Cosmos DB?

Azure Cosmos DB is easier to implement, with a higher Ease of Setup score of 8.0 compared to Apache Parquet's 7.2.

- **Apache Parquet:** Reviewers note a steep learning curve and complexity in setup, especially for those new to columnar storage formats.
- **Azure Cosmos DB:** Reviewers consistently mention ease of implementation, user-friendly interfaces, and straightforward integration with other Microsoft services.

### Which product has better Encryption?

Azure Cosmos DB is favored for encryption, with reviewers citing strong security protection and compliance features.

- **Apache Parquet:** No reviewer-cited encryption strengths or mention counts are available.
- **Azure Cosmos DB:** Security protection is cited in 2 all-time mentions, with reviewers highlighting encryption, compliance, and protection from attacks.

Alternatives

**Apache Parquet Alternatives**

 ![ClickHouse](https://images.g2crowd.com/uploads/product/hd_favicon/1085fc1aec988cc21861ba894db51044/clickhouse.svg "ClickHouse")

[
ClickHouse
](/products/clickhouse/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Google Cloud BigQuery](https://images.g2crowd.com/uploads/product/hd_favicon/875b8a68eca98ce3458f26e9dd34cdf9/google-cloud-bigquery.svg "Google Cloud BigQuery")

[
BigQuery
](/products/google-cloud-bigquery/reviews)

 ![MariaDB](https://images.g2crowd.com/uploads/product/hd_favicon/1546027546/mariadb.svg "MariaDB")

[
MariaDB
](/products/mariadb/reviews)

**Azure Cosmos DB Alternatives**

 ![Amazon DynamoDB](https://images.g2crowd.com/uploads/product/hd_favicon/5383be31b099738701f86724a8b5cf9a/amazon-web-services-aws-amazon-dynamodb.svg "Amazon DynamoDB")

[
Amazon DynamoDB
](/products/amazon-web-services-aws-amazon-dynamodb/reviews)

 ![Arango](https://images.g2crowd.com/uploads/product/hd_favicon/e25ea2e3c08688b5a248e3f3bb669eff/arango.svg "Arango")

[
Arango
](/products/arango/reviews)

 ![Redis Software](https://images.g2crowd.com/uploads/product/hd_favicon/bc33baea6f8c2aa6f6b84dfec0a91f54/redis-software.svg "Redis Software")

[
Redis Software
](/products/redis-software/reviews)

 ![MongoDB Atlas](https://images.g2crowd.com/uploads/product/hd_favicon/d217eaad5fe841fcdd1136204e725516/mongodb-atlas%282%29.svg "MongoDB Atlas")

[
MongoDB Atlas
](/products/mongodb-atlas/reviews)

## Apache Parquet vs Azure Cosmos DB

When assessing the two solutions, reviewers found Azure Cosmos DB easier to use, set up, and administer. Reviewers also preferred doing business with Azure Cosmos DB overall.

- Apache Parquet and Azure Cosmos DB both meet the requirements of our reviewers at a comparable rate.
- When comparing quality of ongoing product support, reviewers felt that Azure Cosmos DB is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Azure Cosmos DB over Apache Parquet.