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# Hive vs Oracle Exadata Cloud Service Comparison - What are their main differences?

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HiveOracle Exadata Cloud Service[+ Add Product](#)

Reviews

**Hive** [

4.2/5(60)

](https://www.g2.com/products/hive/reviews#reviews)

**Oracle Exadata Cloud Service** [

4.4/5(44)

](https://www.g2.com/products/oracle-exadata-cloud-service/reviews#reviews)

Pricing

**Hive**
No pricing available

**Oracle Exadata Cloud Service**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Hive**
Not enough reviews yet

**Oracle Exadata Cloud Service**
7 months

Based on 9 responses

Return on Investment

**Hive**
Not enough reviews yet

**Oracle Exadata Cloud Service**
33 months

Based on 6 responses

Perceived Cost

**Hive**
$$$$$

**Oracle Exadata Cloud Service**
$$$$$

Average Discount

**Hive**
Not enough reviews yet

**Oracle Exadata Cloud Service**
Not enough reviews yet

Pros & Cons

**Hive**
Not enough data

**Oracle Exadata Cloud Service**
Not enough data

Ratings

Meets Requirements

**Hive**

8.2

8.252

**Oracle Exadata Cloud Service**

9.2

9.226

Ease of Use

**Hive**

8.4

8.452

**Oracle Exadata Cloud Service**

7.7

7.727

Ease of Setup

**Hive**

7.8

7.820

**Oracle Exadata Cloud Service**

7.7

7.719

Ease of Admin

**Hive**

7.5

7.519

**Oracle Exadata Cloud Service**

8.5

8.519

Quality of Support

**Hive**

7.7

7.746

**Oracle Exadata Cloud Service**

7.8

7.827

Has the product been a good partner in doing business?

**Hive**

8.2

8.216

**Oracle Exadata Cloud Service**

8.1

8.119

Product Direction (% positive)

**Hive**

7.6

7.648

**Oracle Exadata Cloud Service**

7.5

7.523

Features

Data Warehouse[Hide 48 FeaturesShow 48 Features](javascript:void(0);)

8.3

12

8.5

6

Data Management

Data Compression

8.0(tied score)

11

|

Verified

8.0(tied score)

5

|

Verified

Data Quality

8.2

11

|

Verified

8.3(won by 0.1)

5

|

Verified

Built-In Data Analytics

8.3(tied score)

11

|

Verified

8.3(tied score)

5

|

Verified

Data Integration

9.2(won by default)

10

|

Verified

Not enough data

In-Database Machine Learning

7.1(won by default)

8

|

Verified

Not enough data

Data Lake Analytics

8.1(won by default)

9

|

Verified

Not enough data

ETL - Extract Transfer Load

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Integration

BI Tool Integration

7.8(won by default)

9

|

Verified

Not enough data

AI/ ML Integration

Feature Not Available

Not enough data

Data lake Integration

Feature Not Available

Not enough data

Deployment

Cloud

9.2(won by 0.5)

6

|

Verified

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.7

5

|

Verified

On-Premise

8.0(won by default)

11

|

Verified

Not enough data

Performance 

Scalability

7.9(won by default)

11

|

Verified

Not enough data

Security

Data Governance

9.0(tied score)

10

|

Verified

9.0(tied score)

5

|

Verified

Data Security

8.8

11

|

Verified

9.0(won by 0.2)

5

|

Verified

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Additional Functionality

Parallel Processing

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

API

Not enough data

Not enough data

In-Database Processing

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Real-Time Reporting

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Match & Merge

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Secure Data Storage

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

In-Memory Processing

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Hive](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_372444fc2d6b587007858ffe2cf9d77e/hive.jpg "Hive")](https://www.g2.com/products/hive/reviews)

Hive

Small-Business(50 or fewer emp.)

10.5%

Mid-Market(51-1000 emp.)

35.1%

Enterprise(\> 1000 emp.)

54.4%

[![Oracle Exadata Cloud Service](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aca40b5464fcf97310dbc332c2296b5c/oracle-exadata-cloud-service.png "Oracle Exadata Cloud Service")](https://www.g2.com/products/oracle-exadata-cloud-service/reviews)

Oracle Exadata Cloud Service

Small-Business(50 or fewer emp.)

7.7%

Mid-Market(51-1000 emp.)

17.9%

Enterprise(\> 1000 emp.)

74.4%

Small-Business

(50 or fewer emp.)

10.5%

7.7%

Mid-Market

(51-1000 emp.)

35.1%

17.9%

Enterprise

(\> 1000 emp.)

54.4%

74.4%

Reviewers' Industry

[![Hive](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_372444fc2d6b587007858ffe2cf9d77e/hive.jpg "Hive")](https://www.g2.com/products/hive/reviews)
Hive

Computer Software

19.3%

Internet

19.3%

Information Technology and Services

14.0%

Higher Education

7.0%

Retail

3.5%

Other

36.8%

[![Oracle Exadata Cloud Service](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aca40b5464fcf97310dbc332c2296b5c/oracle-exadata-cloud-service.png "Oracle Exadata Cloud Service")](https://www.g2.com/products/oracle-exadata-cloud-service/reviews)
Oracle Exadata Cloud Service

Government Administration

12.5%

Banking

10.0%

Telecommunications

7.5%

Information Technology and Services

7.5%

Transportation/Trucking/Railroad

5.0%

Other

57.5%

FAQs

## Hive vs Oracle Exadata Cloud Service FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between Oracle Exadata Cloud Service vs Hive?

Oracle Exadata Cloud Service stands out for its high-performance, enterprise-focused features and integration capabilities, while Hive is favored for its ease of use and SQL-like interface for big data analytics.

| [Oracle Exadata Cloud Service](https://www.g2.com/products/oracle-exadata-cloud-service/reviews) | [Hive](https://www.g2.com/products/hive/reviews) |
| --- | --- |
| 4.4/5 (44 reviews) | 4.2/5 (60 reviews) |
| Enterprise | Enterprise |
| 7.7 | 7.8 |
| 7.8 | 7.7 |
| High performance and scalability for Oracle databases | SQL-like interface and ease of use for big data analytics |

### How do the pricing models of Oracle Exadata Cloud Service and Hive compare?

Oracle Exadata Cloud Service is rated higher for value, with a stronger Price/Cost satisfaction score than Hive.

- **Oracle Exadata Cloud Service:** Reviewers highlight cost-effectiveness for large-scale, enterprise deployments, though some note high initial costs and complexity.
- **Hive:** Reviewers appreciate its open-source nature and flexibility, but mention performance trade-offs and slower query times as drawbacks.

### What are the best alternatives to Oracle Exadata Cloud Service and Hive?

The top three alternatives to Oracle Exadata Cloud Service and Hive are Snowflake, Amazon Redshift, and BigQuery.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Oracle Exadata Cloud Service](https://www.g2.com/products/oracle-exadata-cloud-service/reviews) | 4.4/5 (44 reviews) | Enterprise | Cost-effective for large-scale deployments | High performance and scalability for Oracle databases |
| [Hive](https://www.g2.com/products/hive/reviews) | 4.2/5 (60 reviews) | Enterprise | Open-source flexibility, but slower performance | SQL-like interface and ease of use for big data analytics |
| [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5 (763 reviews) | Mid-Market | — | Separation of storage and compute, strong scalability |
| [Amazon Redshift](https://www.g2.com/products/amazon-redshift/reviews) | 4.3/5 (404 reviews) | Mid-Market | — | Integration with AWS ecosystem and fast query performance |
| [BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5 (1224 reviews) | Enterprise | — | Serverless architecture and real-time analytics capabilities |

### Which Data Warehouse features should I prioritize when comparing Oracle Exadata Cloud Service and Hive?

Buyers should prioritize performance, ease of use, integration capabilities, scalability, and cloud-native features when comparing Oracle Exadata Cloud Service and Hive.

- **Performance:** Oracle Exadata Cloud Service is optimized for high performance and scalability, while Hive is noted for slower query times in recent reviews.
- **Ease of Use:** Hive scores 8.4 on Ease of Use, compared to Oracle Exadata Cloud Service's 7.7.
- **Integration Capabilities:** Oracle Exadata Cloud Service offers AI/ML integration and data lake integration, which are not highlighted for Hive.
- **Scalability:** Oracle Exadata Cloud Service is frequently cited for scalability in enterprise environments.
- **Cloud-Native Features:** Oracle Exadata Cloud Service is designed for cloud-based Oracle database management, while Hive is favored for its SQL-like interface on big data platforms.

### What are the pros and cons of Oracle Exadata Cloud Service vs Hive?

Oracle Exadata Cloud Service's headline strength is high performance and scalability for Oracle databases, while Hive excels in ease of use and SQL-like querying for big data analytics.

- **Oracle Exadata Cloud Service strengths:** High performance, scalability, security, cost-effectiveness for large deployments, integration with Oracle cloud services, and reduced complexity for Oracle database management.
- **Oracle Exadata Cloud Service trade-offs:** High initial cost, complex configuration requiring expert knowledge, dependence on Oracle ecosystem, and challenges with integration to non-Oracle products.
- **Hive strengths:** SQL-like interface, open-source flexibility, ease of use for those with SQL backgrounds, strong for batch analytics and big data processing, and integration with Hadoop and Spark.
- **Hive trade-offs:** Higher latency and slower query performance, limited support for OLTP and real-time queries, lacks advanced cloud-native features, and challenges with complex query optimization.

### Is Oracle Exadata Cloud Service or Hive better for small businesses?

Hive is a better fit for small businesses due to its open-source flexibility and ease of use, while Oracle Exadata Cloud Service is primarily adopted by enterprises.

- **Oracle Exadata Cloud Service:** Largest segment is Enterprise; reviewers note high cost and complexity, making it less suitable for small businesses.
- **Hive:** Largest segment is Enterprise, but recent reviews highlight its ease of use and SQL-like interface, which can benefit smaller teams with big data needs.

### Which Data Warehouse platform has better integrations?

Oracle Exadata Cloud Service and Hive are at parity for integrations, as neither product has recent reviewer-cited integration data available.

- **Oracle Exadata Cloud Service:** No recent reviewer-cited integrations available.
- **Hive:** No recent reviewer-cited integrations available.

### How do Oracle Exadata Cloud Service and Hive compare on customer support?

Oracle Exadata Cloud Service and Hive are at parity on Quality of Support, with scores of 7.8 and 7.7 respectively, which is below the materiality threshold for a meaningful difference.

- **Oracle Exadata Cloud Service:** Reviewers describe support as generally responsive, though some mention delays in resolving complex issues and challenges with Oracle's support structure.
- **Hive:** Reviewers note that support is adequate, with some highlighting the benefits of community resources and documentation, but also mention limitations typical of open-source projects.

### Which is easier to implement, Oracle Exadata Cloud Service or Hive?

Hive and Oracle Exadata Cloud Service score within a tenth of a point on Ease of Setup (7.8 vs 7.7), indicating near parity in implementation experience.

- **Oracle Exadata Cloud Service:** Reviewers mention that setup can be complex and often requires expert Oracle knowledge, but once configured, management is streamlined for Oracle environments.
- **Hive:** Reviewers highlight its SQL-like interface and straightforward setup for those familiar with SQL and Hadoop, though performance tuning and optimization can be challenging for complex queries.

### Which product has better Cloud?

Oracle Exadata Cloud Service is favored for Cloud, with reviewers citing its cloud-native features and integration capabilities.

- **Oracle Exadata Cloud Service:** Designed for cloud-based Oracle database management, with features like AI/ML integration and data lake integration supporting cloud deployments.
- **Hive:** Frequently used on cloud platforms for big data analytics, but lacks advanced cloud-native features and integration capabilities highlighted for Oracle Exadata Cloud Service.

Alternatives

**Hive Alternatives**

 ![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)

 ![Teradata Autonomous Knowledge Platform](https://images.g2crowd.com/uploads/product/hd_favicon/18effe7340087cf76270e479644d3e42/teradata-autonomous-knowledge-platform.svg "Teradata Autonomous Knowledge Platform")

[
Teradata Autonomous Knowledge Platform
](/products/teradata-autonomous-knowledge-platform/reviews)

 ![Rocket Vertica](https://images.g2crowd.com/uploads/product/hd_favicon/0e27517827bbb573fb7f07523fb524b7/rocket-vertica.svg "Rocket Vertica")

[
Rocket Vertica
](/products/rocket-vertica/reviews)

**Oracle Exadata Cloud Service Alternatives**

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

[
Snowflake
](/products/snowflake/reviews)

 ![Amazon Redshift](https://images.g2crowd.com/uploads/product/hd_favicon/1528476479/amazon-redshift.svg "Amazon Redshift")

[
Amazon Redshift
](/products/amazon-redshift/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)

 ![Rocket Vertica](https://images.g2crowd.com/uploads/product/hd_favicon/0e27517827bbb573fb7f07523fb524b7/rocket-vertica.svg "Rocket Vertica")

[
Rocket Vertica
](/products/rocket-vertica/reviews)

## Hive vs Oracle Exadata Cloud Service

When assessing the two solutions, reviewers found Hive easier to use, set up, and do business with overall. However, reviewers preferred the ease of administration with Oracle Exadata Cloud Service.

- Reviewers felt that Oracle Exadata Cloud Service meets the needs of their business better than Hive.
- When comparing quality of ongoing product support, reviewers felt that Oracle Exadata Cloud Service is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Hive over Oracle Exadata Cloud Service.