ClickHouse vs EDB Postgres Advanced Server comparison

ClickHouse and EnterpriseDB are both solutions in the Open Source Databases category. ClickHouse is ranked #3 with an average rating of 8.7, while EnterpriseDB is ranked #13 with an average rating of 8.0. ClickHouse holds a 6.4% mindshare in OSD, compared to EnterpriseDB’s 2.3% mindshare. Additionally, 100% of ClickHouse users are willing to recommend the solution, compared to 90% of EnterpriseDB users who would recommend it.

ClickHouse

Read 21 ClickHouse reviews

6,154 Views
3,077 Comparison Views

100% willing to recommend

EDB Postgres Advanced Server

Read 10 EDB Postgres Advanced Server reviews

1,767 Views
1,767 Comparison Views

90% willing to recommend

ClickHouse

EDB Postgres Advanced Server

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 1, 2026

EDB Postgres Advanced Server and ClickHouse compete in the database management space. EDB Postgres Advanced Server holds an advantage for enterprises needing compatibility with Oracle applications, while ClickHouse shines in speed and real-time analytics.

Features: EDB Postgres Advanced Server includes Oracle compatibility, robust security features, and supports JSONB. It provides high availability with Patroni clustering and offers extensive built-in features for scripting. ClickHouse focuses on fast query performance, lightweight architecture for high throughput, and OLAP features that eliminate database locks. It has an S3 engine for scalable storage and is excellent for on-premises setups supporting analytical workloads.

Room for Improvement: EDB Postgres Advanced Server could enhance its real-time analytics capabilities and integration with cloud-native tools. There is a need for more streamlined cross-platform support and reduced complexity in high-availability configurations. ClickHouse may improve by enhancing its support services, increasing the robustness of data recovery options, and increasing documentation comprehensiveness for new users and complex tasks.

Ease of Deployment and Customer Service: EDB Postgres Advanced Server offers extensive documentation and robust support for complex environments, facilitating smoother deployment. ClickHouse provides an easy setup process with quick integration but requires additional commitment to develop organized support channels. Its simple deployment favors rapid analytics platform integration, especially for on-premises implementations.

Pricing and ROI: EDB Postgres Advanced Server typically has higher upfront costs, reflecting its enterprise-grade features and support, but leads to long-term savings through integration efficiencies with Oracle environments. ClickHouse offers a lower entry cost, particularly beneficial for organizations aiming for speedy ROI focused on analytics, with savings seen in on-premises setups due to its cost-effective storage solutions.

To learn more, read our detailed ClickHouse vs. EDB Postgres Advanced Server Report (Updated: June 2026).

Buyer's Guide

ClickHouse vs. EDB Postgres Advanced Server

June 2026

Download the complete report

Helped 900,644 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

ClickHouse

Ranking in Open Source Databases

3rd

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Vector Databases (7th)

EDB Postgres Advanced Server

Ranking in Open Source Databases

13th

Average Rating

8.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Open Source Databases category, the mindshare of ClickHouse is 6.4%, up from 4.4% compared to the previous year. The mindshare of EDB Postgres Advanced Server is 2.3%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
ClickHouse	6.4%
EDB Postgres Advanced Server	2.3%
Other	91.3%

Open Source Databases

Featured Reviews

reviewer2785038

Senior Data Engineer at a transportation company with 501-1,000 employees

Data observability has enabled real‑time analytics and cost savings but needs smoother inserts and cleanup

ClickHouse could be improved concerning data insertion, especially given the high amount of data handled. Constant efforts are made to optimize the features on its own, but with merges and inserts, only a single insert query can be performed allowing for the input of only 100,000 rows per second. It would be beneficial to insert more data and have configurations that are less user-operated. Ideally, ClickHouse would optimize itself to handle these processes automatically, reducing the need to contact the ClickHouse support team for infrastructure optimization. Additionally, delays are experienced when trying to delete databases with corrupt data, taking too much time and causing major outages, which necessitate contacting multiple teams across continents for resolution. The community surrounding ClickHouse also seems limited, providing a reliance on documentation, and there is a scarcity of developers working with ClickHouse, which hinders growth. If ClickHouse were more user-friendly and technically feasible, it would likely see greater expansion in usage.

Read full review

reviewer2599590

Student at a university with 10,001+ employees

Explore innovative database indexing and distributed architecture capabilities

The number of indices available in Postgres is remarkable. Additionally, the way it forks each process into a child node, instead of executing in the same node, is quite different from most databases. These features can be especially useful in certain scenarios compared to MySQL or other SQL-based databases. Also, the ability to distribute the database across different machines is a significant advantage.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"ClickHouse is a user-friendly solution that tries to be compatible with SQL standards."

"ClickHouse Cloud saves a lot of time for our DevOps engineers since there isn't much deployment involved and everything is served directly, leading to increased efficiency and productivity."

"ClickHouse has positively impacted my organization, as there was an entire exercise done on which database we were supposed to use for solving our problems, and we found ClickHouse was the one performing the best, which is when we adopted it."

"If you have a real-time basis, you should take a look at ClickHouse because it works on a vector database, and the querying is super fast compared to traditional databases."

"ClickHouse has reduced our storage cost and improved our 99th percentile latency by 40%."

"The tool is column-based and infinitely scalable."

"There is no better option than ClickHouse in all OLAP-based databases, so I think it is best to use ClickHouse in that regard."

"We faced a challenge with deploying ClickHouse onto Kubernetes. Recently, we've been using ClickHouse Cloud, and the main issue is the high cost of the cloud service. The pricing isn't very competitive, especially for startups. I would instead buy a server and self-host if I have enough disk space. Besides that, ClickHouse has done very well, with clear goals and effective execution."

More ClickHouse pros

"Cost/benefit wise Postgres is a great solution."

"The number of indices available in Postgres is remarkable."

"The product is user-friendly."

"It gives us a solid, less expensive alternative to deploying with Oracle."

"The feature of vector database management for AI is quite interesting and impactful."

"The low cost and functionality allows us to save money on smaller database projects."

"This product has allowed us to reduce costs in some parts of our infrastructure without losing functionality."

"I rate EDB Postgres Advanced Server's stability an eight out of ten."

Cons

"The aggregation capability is a valuable feature. It's highly efficient, allowing us to review entire transaction histories and user activities in the market. We've tried MongoDB, Postgres, MariaDB, and BigQuery, but ClickHouse is the most cost-efficient solution for collecting data at high speeds with minimal cost. We even used ClickHouse Cloud for a month, and it proved to be a great setup, especially for startups looking to handle big data. For example, if there is a need for 2-4 terabytes of data and around 40 billion rows with reasonable computing speed and latency, ClickHouse is ideal. Regarding the real-time query performance of ClickHouse, when using an API server to query it, I achieved query results in less than twenty milliseconds in some of my experiments with one billion rows. However, it depends on the scenario since ClickHouse has limitations in handling mutations. Additionally, one of ClickHouse's strengths is its compression capability. Our experimental server has only four terabytes, and ClickHouse effectively compresses data, allowing us to store large amounts of data at high speed. This compression efficiency is a significant advantage of using ClickHouse."

"We had a lot of troubles while deploying a whole cluster."

"ClickHouse can be improved, and the main challenge I see is its operational complexity."

"The open-source version of ClickHouse is not very scalable."

"The main issue is the lack of documentation. Many features are available but are not fully documented, which can make finding information challenging."

"If you join our team, it should be easy for you to use ClickHouse, especially if you are a developer. However, you need to read the documentation and understand the problems you are trying to solve."

"My experience with pricing, setup cost, and licensing indicates that it is very expensive—ClickHouse is the most expensive option."

"I chose nine out of ten because, as I mentioned, the improvement side and the ten thousand partition limit created issues that we were hitting quite frequently, but with some schema manipulations we did manage to find a workaround, although that could have been avoided had things been better documented on how we could have solved this problem in a different approach, which took some bandwidth."

More ClickHouse cons

"Postgres performance is suffering and the product model is not doing enough to keep current."

"There aren't specific new features we wish to add."

"Setting up MySQL is slightly more straightforward than Postgres."

"The lack of additional security features is really the thing that makes the product less useful."

"It suffers issues ranging from data corruption to failing to delete temporary files which then necessitate us having to perform server restarts."

"I would like to see improvements in the performance, especially in large-scale operations, as it currently cannot match Oracle's performance."

"The system is aging and not keeping up with the performance of new, enhanced database models."

"Lighter integration model for containerized deployment. Effectively, there still remain some issues with a containerized deployment, so we have opted for a non-containerized deployment."

Pricing and Cost Advice

"We used the free, community version of ClickHouse."

"ClickHouse has an open-source version, which is free to use and has almost all the features."

"For pricing, if you use the self-hosted version, it would be free. Cloud services pricing would be an eight out of ten. I try to minimize costs but still have to monitor usage."

"If you have an in-house deployment on Kubernetes or something, it's going to be very cheap since you'll be managing everything."

"The tool is open-source."

"ClickHouse Cloud is not expensive compared to other databases, costing a few dollars per month while providing fast performance."

"The tool is free."

"It is an open-source product."

"EDB Postgres Advanced Server is open source, so I don't pay for licensing."

"I have been working on the community edition."

"Pricing is significantly lower than competing products."

"The product is either free with community support or very inexpensive with a small yearly fee for paid support."

See which vendors are best for you

Use our free recommendation engine to learn which Open Source Databases solutions are best for your needs.

See recommendations

900,644 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

13%

Outsourcing Company

Comms Service Provider

Financial Services Firm

15%

Comms Service Provider

10%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	2
Large Enterprise	8

Questions from the Community

What is your experience regarding pricing and costs for ClickHouse?

My experience with pricing, setup cost, and licensing was such that the setup costs were just my own bandwidth, while licensing and pricing were done by other members of the team so it was abstract...

See all answers

What needs improvement with ClickHouse?

ClickHouse can be improved on the documentation side, and there is one small constraint that is mentioned in ClickHouse documentation, which is a partition limit of ten thousand that we hit, so if ...

See all answers

What is your primary use case for ClickHouse?

My main use case for ClickHouse is data ingestion and for its OLAP properties, as we had use cases where database locks were slowing us down and because ClickHouse does not have that, we chose to u...

See all answers

What is your experience regarding pricing and costs for EDB Postgres Advanced Server?

EDB Postgres Advanced Server offers both processor-based and user-based licensing options. The cost is reasonable, particularly for middle and lower-tier customers, but there are hiccups when deali...

See all answers

What needs improvement with EDB Postgres Advanced Server?

It was challenging to think of improvements for Postgres. We did not choose to extend or add new features to Postgres since it already meets our needs so well. There aren't specific new features we...

See all answers

What is your primary use case for EDB Postgres Advanced Server?

Our primary use case for EDB Postgres Advanced Server was to study the code base behind it. We aimed to understand how it has been built, how the engine functions, the querying process, and what ki...

See all answers

Comparisons

OpenSearch vs ClickHouse

Compared 10% of the time

VictoriaMetrics vs ClickHouse

Compared 7% of the time

PostgreSQL vs ClickHouse

Compared 7% of the time

MySQL vs ClickHouse

Compared 7% of the time

Cassandra vs ClickHouse

Compared 7% of the time

More ClickHouse Competitors

PostgreSQL vs EDB Postgres Advanced Server

Compared 21% of the time

YugabyteDB vs EDB Postgres Advanced Server

Compared 14% of the time

Percona Server vs EDB Postgres Advanced Server

Compared 12% of the time

Azure Database for PostgreSQL vs EDB Postgres Advanced Server

Compared 9% of the time

Faiss vs EDB Postgres Advanced Server

Compared 4% of the time

More EDB Postgres Advanced Server Competitors

Product Reports

Buyer's Guide

ClickHouse

June 2026

Download ClickHouse product report

Buyer's Guide

EDB Postgres Advanced Server

June 2026

Download EDB Postgres Advanced Server product report

Overview

ClickHouse is renowned for its speed, scalability, and real-time query performance. Its compatibility with SQL standards enhances flexibility while enabling integration with popular tools.

ClickHouse leverages a column-based architecture for efficient data compression and real-time analytics. It seamlessly integrates with tools like Kafka and Tableau and is effective in handling large datasets due to its cost-efficient aggregation capabilities. With robust data deduplication and strong community backing, users can access comprehensive documentation and up-to-date functionality. However, improvements in third-party integration, cloud deployment, and handling of SQL syntax differences are noted, impacting ease-of-use and migration from other databases.

What features make ClickHouse outstanding?

Speed and Scalability: Enables rapid deployment and scalability, particularly on Kubernetes.
SQL Compatibility: Aligns with SQL standards for flexible database management.
Column-based Structure: Offers efficient data compression and quick query performance.
Integration Support: Works with Kafka, Tableau, and other popular platforms.
Data Deduplication: Manages complex data duplication efficiently.

What benefits should users consider?

Cost-Efficiency: Reduces expenses while managing large datasets effectively.
Real-Time Analytics: Provides fast data processing for real-time insights.
Flexibility: Offers multiple integration points and compatibility options.
Robust Documentation: Backed by an active development community, ensuring comprehensive support.

ClickHouse is deployed in sectors like telecommunications for passive monitoring and is beneficial for data analytics, logging Clickstream data, and as an ETL engine. Organizations harness it for machine learning applications when combined with GPT. With the ability to be installed independently, it's an attractive option for avoiding cloud service costs.

ClickHouse

EDB Postgres Advanced Server offers robust database solutions with standout configurations and flexible support, ideal for demanding environments.

EDB Postgres Advanced Server addresses diverse database needs with advanced tools and configurations. Efficiently managing distributed databases and supporting high availability with Patroni cluster deployment, it provides superior backup solutions and cost-efficient licensing compared to Oracle. Its compatibility with Oracle and vector database management for AI make it suitable for middle and lower-tier clients. However, areas like performance enhancement for large-scale operations, containerized deployments, and better monitoring require attention.

What are the key features of EDB Postgres Advanced Server?

Standout Configurations: Offers flexibility and a wide range of indices for varied needs.
Patroni Cluster Deployment: Ensures high availability for critical applications.
JSONB Support: Provides enhanced management of JSON data.
Cost-Efficient Licensing: More affordable than Oracle for budget-conscious organizations.
Built-In Scripting: Simplifies automation tasks with ease.
PgAdmin Metrics Insights: Delivers valuable database performance metrics.

Why should users consider EDB Postgres Advanced Server?

Oracle Compatibility: Smooth transition for users familiar with Oracle systems.
AI Database Management: Accommodates vector databases crucial for AI workloads.
Multitenancy: Supports multiple users, enhancing flexibility and efficiency.
Impressive Speed: Facilitates quick data processing for demanding tasks.
Cost Efficiency: Reduces overall database expenditure.

Organizations deploy EDB Postgres Advanced Server to replace Oracle RAC and manage tasks requiring multiple servers and distributed data access. Educational institutions utilize it for examining architecture and development, with global data centers harnessing its capabilities for engineering endeavors. Academic purposes include teaching database fundamentals and aiding Oracle migrations, while aligning with on-premises deployments due to specific restrictions.

EnterpriseDB

Sample Customers

Information Not Available

Ericsson, Clear Capital, PinkRoccade, ABN Amro, WholeWorldBand, Van Genechten, Gallinat-Bank AG, Mariner, coresystems, Aquent, Contegix, AQA, Genscape, InMobi

Buyer's Guide

ClickHouse vs. EDB Postgres Advanced Server

June 2026

Free Report: ClickHouse vs. EDB Postgres Advanced Server

Find out what your peers are saying about ClickHouse vs. EDB Postgres Advanced Server and other solutions. Updated: June 2026.

DOWNLOAD NOW

900,644 professionals have used our research since 2012.

See our ClickHouse vs. EDB Postgres Advanced Server report.

See our list of best Open Source Databases vendors.

We monitor all Open Source Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.