InfluxDB vs PostgreSQL comparison

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InfluxDB

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Executive SummaryUpdated on Jun 3, 2026

PostgreSQL and InfluxDB are competitors in the database field, with PostgreSQL taking the upper hand due to its open-source flexibility and expansive feature set, which is appealing to a wide range of applications.

Features: PostgreSQL is known for its ACID compliance, extensive support for JSON and XML, and robust community backing. Its GIS functionalities and mature extension capabilities make it highly versatile. InfluxDB specializes in time-series data processing, offering rapid data ingestion, efficient storage, and real-time alerting features, making it ideal for environments requiring low latency.

Room for Improvement: PostgreSQL could improve usability for non-experts and refine its replication features. It also needs enhanced high availability support. InfluxDB could benefit from better documentation, simpler integration of tools like Chronograf, and more intuitive querying for SQL users. Improvements in scalability and backup features are also desirable.

Ease of Deployment and Customer Service: PostgreSQL's open-source nature allows for flexible deployment across various platforms, supported by a strong community, though professional support may require third-party services. InfluxDB is user-friendly in cloud environments but could enhance its user interface and support services, relying more on commercial support options.

Pricing and ROI: PostgreSQL is favored for its open-source model with no licensing costs, providing quick ROI and making it ideal for cost-conscious enterprises. InfluxDB, while also open-source, may have additional costs for scaling and enterprise features, with its ROI tied to strategic use of data volume.

To learn more, read our detailed InfluxDB vs. PostgreSQL Report (Updated: August 2026).

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InfluxDB vs. PostgreSQL

August 2026

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Review summaries and opinions

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

ROI

Sentiment score

5.8

Companies experienced enhanced operational efficiency and increased customer satisfaction with InfluxDB through real-time monitoring and automation.

Sentiment score

6.7

PostgreSQL offers cost savings and rapid ROI with free open-source capabilities, ideal for startups and growing enterprises.

These improvements translated into both cost savings and better service reliability, directly impacting business outcomes.

Senior Data Engineer at a university with 201-500 employees

It simplifies processes and reduces the need for additional employees.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

It has reduced a lot of time in terms of troubleshooting because the way it produces the data on a time-series basis allows me to collect and store the data for future reference.

Gaurav Dangaich

Sdet Performance Engineer at a tech vendor with 10,001+ employees

No quotes available

For more quotes and insights, download the PostgreSQL report

Customer Service

Sentiment score

5.8

InfluxDB customer support is praised for enterprise-level help but needs faster response times and more complex deployment support.

Sentiment score

6.7

PostgreSQL support is strong with community forums, detailed documentation, and high-rated resources, offering both free and paid options.

They get on a call, resolve issues, and handle everything efficiently.

Manas Kashyap

Senior Dev Ops Engineer at 11 East Capital

The InfluxDB support team was knowledgeable and helped us troubleshoot complex problems efficiently.

Senior Data Engineer at a university with 201-500 employees

Obtaining that quantity of data directly from InfluxDB is quite challenging, and that is why we ask for help from the InfluxDB team to retrieve the data to avoid timeouts and those kinds of issues.

For more quotes and insights, download the InfluxDB report

Team Lead, Software at Energybox

If PostgreSQL is hosted on cloud services such as Amazon RDS or Google Cloud SQL, the support is handled by the cloud provider, who provides automated backups, monitoring, infrastructure management, and technical support tickets.

AyushVerma

Software Engineer at GSS Academy, Noida

Overall, we have a very small customer service team and a good engineering team with no overburden or bandwidth issues.

Data Science Architect at publicis Sapient

For customizations and extensions, the community is very active and useful.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Scalability Issues

Sentiment score

7.0

InfluxDB scales efficiently in enterprises, supports large data volumes, and integrates well, though backup stability varies by deployment.

Sentiment score

7.4

PostgreSQL is highly scalable, handling large on-premise or cloud deployments effectively, supporting high transactions and growing user demands.

The main challenge with InfluxDB, which is common with all databases, was handling very high throughput systems and high throughput message flow.

Sayak Roy

Deployment Engineer at Derq

It can handle large volumes of time-series data and with high ingestion rates, making it suitable for enterprise-scale deployments.

Senior Data Engineer at a university with 201-500 employees

We’ve scaled on volume with seven years of continuous data without performance degradation.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Stability Issues

Sentiment score

8.0

InfluxDB is reliable, stable, and supported, with minor issues resolved by integrations and support, except in Azure China.

Sentiment score

8.0

PostgreSQL is praised for its stability and reliability, outperforming MySQL, with issues mainly from misconfiguration, not intrinsic faults.

It serves as the backbone of our application, and its stability is crucial.

Senior System Developer at Norled

We have used it to support mission-critical systems with continuous data ingestion and real-time analytics.

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Senior Data Engineer at a university with 201-500 employees

It is very stable, with no reliability or downtime in InfluxDB.

Btece Lodi

Student at a educational organization with 1,001-5,000 employees

I have never seen any performance issue in PostgreSQL.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Room For Improvement

InfluxDB requires improvements in query language, UI, pricing, documentation, scalability, cloud integration, and support for non-technical users.

PostgreSQL users seek improvements in interface, performance, scalability, integration, documentation, and support for large-scale real-time applications.

InfluxDB deprecated FluxQL, which was intuitive since developers are already familiar with standard querying.

Milan Predic

Chief Technology Officer at Presta Agency

Having a SQL abstraction in InfluxDB could be beneficial, making it more accessible for teams that prefer querying with SQL-style syntax.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

It could include automated backup and a monitoring solution for InfluxDB or a script developed by a REST API.

reviewer2778060

Network engineer at a energy/utilities company with 10,001+ employees

PostgreSQL remains a strong choice for enterprise applications due to its stability, extensibility, and SQL standards compliance.

Software Engineer – Rust Systems & AI Evaluation at Turing

Query optimization improves slow queries by using proper indexes, avoiding unnecessary joins, and using EXPLAIN ANALYZE to inspect query plans.

AyushVerma

Software Engineer at GSS Academy, Noida

If I need to increase the dimension to 3,000 or 5,000, that option should be available.

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Data Science Architect at publicis Sapient

Setup Cost

InfluxDB's pricing shift to a monthly model prompts enterprises to consider open-source options for cost-effective scalability and flexibility.

PostgreSQL offers cost-effective scalability and flexibility with zero licensing fees, though setup and support may incur additional costs.

We use the open-source version of InfluxDB, so it is free.

Senior System Developer at Norled

I find the cloud version pricing of InfluxDB reasonable, and for the on-premises solution we use in our service, we need to purchase licenses.

Team Lead, Software at Energybox

Pricing is based on data volume, retention, and features, which really makes it scalable but requires careful planning to avoid unexpected costs.

For more quotes and insights, download the InfluxDB report

Senior Data Engineer at a university with 201-500 employees

Even with doing 100,000 transactions right now within PostgreSQL, we are happy with PostgreSQL and not seeing that it is expensive or going out of budget.

Data Science Architect at publicis Sapient

The managed PostgreSQL itself is open source with no license fees.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Valuable Features

InfluxDB excels in fast data writes, analytics, and integration, enhancing efficiency and visualization with robust community support.

PostgreSQL excels in spatial support, high availability, JSONB handling, integration, scalability, and community-driven advanced features for diverse applications.

The most important feature for us is low latency, which is crucial in building a high-performance engine for day trading.

Milan Predic

Chief Technology Officer at Presta Agency

InfluxDB’s core functionality is crucial as it allows us to store our data and execute queries with excellent response times.

For more quotes and insights, download the InfluxDB report

Senior System Developer at Norled

It helps me maintain my solution easily because it is very reliable, so we didn't face any performance issues or crashes regarding our queries; we can get the results very fast.

reviewer2761710

Solutions Engineer at a tech vendor with 51-200 employees

PostgreSQL improves reliability, performance, and scalability in production. Since it is ACID compliant, it ensures that database transactions are safe and consistent, preventing partial data updates, maintaining data integrity, and allowing multiple users to read or write data simultaneously using MVCC.

AyushVerma

Software Engineer at GSS Academy, Noida

The best feature is performance, because of which I decided on PostgreSQL.

Data Science Architect at publicis Sapient

Its robustness and reliability are incredible and stable, which is crucial for critical data, especially with AI model outputs.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Categories and Ranking

InfluxDB

Ranking in Open Source Databases

6th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Network Monitoring Software (14th), IT Infrastructure Monitoring (12th), NoSQL Databases (6th)

PostgreSQL

Ranking in Open Source Databases

2nd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

128

Ranking in other categories

Vector Databases (7th)

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of InfluxDB is 4.9%, up from 4.3% compared to the previous year. The mindshare of PostgreSQL is 12.6%, down from 17.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	12.6%
InfluxDB	4.9%
Other	82.5%

Open Source Databases

Featured Reviews

Time series data has been managed efficiently for IoT sensors but reporting still needs improvement

Team Lead, Software at Energybox

How InfluxDB can be improved is relevant since for Energy Box, we face certain issues. We have customers worldwide, including the United States, United Kingdom, and Europe, but when we expanded to China two years ago, they indicated that they do not support the cloud version there. Our application is built on the cloud, which required us to create a separate application for Azure China, which was painful for us. The second issue involves frequent version changes. For example, we started with version one, transitioned to version two, and I heard they are considering InfluxDB version three, reverting to earlier practices. InfluxDB should improve without completely changing its approach. Now we have to redo our work for InfluxDB version three. Regarding needed improvements, the documentation is sufficient, but pricing presents a challenge. InfluxDB has standard pricing, which is acceptable for large companies. However, for startups in our position, they should provide special discounts so everyone can utilize it. The pricing should adapt as companies grow, which is a reasonable expectation.

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High-volume transactions have reduced failures and improve customer service efficiency

Data Science Architect at publicis Sapient

The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.

Read full review

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

Financial Services Firm

11%

Comms Service Provider

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	9

By reviewers
Company Size	Count
Small Business	58
Midsize Enterprise	26
Large Enterprise	49

Questions from the Community

What needs improvement with InfluxDB?

If the dashboarding facility can be improved in terms of the visualization parameters and the amount of support available from the community, as well as having smarter alerts to send those alerts t...

What is your primary use case for InfluxDB?

My main use case for InfluxDB is to inject all my performance data and visualize it as a data source into Grafana. My data comes from JMeter from a plugin, which is inserting data to InfluxDB, and ...

What advice do you have for others considering InfluxDB?

It is good to start with InfluxDB to stabilize your data, visualize your data, and have the data stored on a time-series basis. I would recommend everyone to get into InfluxDB and start using it. T...

How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

What is your experience regarding pricing and costs for PostgreSQL?

I am not directly involved in the licensing or procurement decisions, so I cannot comment in detail on the price. From an engineering perspective, PostgreSQL is cost-efficient because it is open so...

What needs improvement with PostgreSQL?

While improving reliability, I have noticed that the limitations in PostgreSQL can be complex. For large-scale deployments, configuration, performance tuning, and related tasks can be complex and i...

MongoDB Enterprise Advanced vs InfluxDB

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Product Reports

Download InfluxDB product report

InfluxDB

July 2026

Download PostgreSQL product report

July 2026

Overview

InfluxDB offers efficient time series data handling with fast writes, optimized storage, and seamless Grafana integration, making it ideal for high-volume applications like crypto trading and real-time monitoring. Its SQL-like query language and cloud-based options enhance user experience and system scalability.

InfluxDB stands out with its ability to handle high-volume time series data efficiently, thanks to fast data writes and efficient compression. It is highly scalable, providing clustering features for improved performance management. Integration with Grafana enhances visualization, making it easier to analyze complex data through a user-friendly SQL-like query language. Real-time monitoring, historical data access, and proactive alerts enhance system reliability. Its cloud offering simplifies maintenance and operations, making it attractive for users seeking an efficient time series database.

What are the key features of InfluxDB?

Fast Data Writes: Ensures quick data handling necessary for real-time applications.
Optimized Storage: Reduces space requirements and improves performance.
Efficient Compression: Supports high-volume data like time series, enhancing throughput.
Grafana Integration: Supports seamless visualization and analysis of data.
SQL-like Query Language: Simplifies complex data operations with user-friendly queries.

What benefits or ROI can users expect?

Enhanced Performance: Fast processing and optimized storage for better application responsiveness.
Scalability: Clustering features ensure adaptability to growing data volumes.
Improved Reliability: Proactive alerts and real-time monitoring prevent system downtimes.
Ease of Use: SQL-like language and intuitive visuals improve user accessibility.

InfluxDB is applied extensively in industries handling high-volume data needs. For sensor data storage in production environments, it offers reliable performance. Its role in server management metrics and performance monitoring is crucial for maintaining optimal operations. In crypto market data collection, it supports fast-paced trading environments. Industries use it for real-time tracking, like maritime vessel monitoring, leveraging its rapid data handling and visualization capabilities. Its applications also extend to IoT environments, API performance tracking, HVAC systems, and log aggregation, often integrating with Prometheus, Docker, and AWS to enhance system capabilities.

InfluxData

PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases.

It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable.

Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

Sample Customers

ebay, AXA, Mozilla, DiDi, LeTV, Siminars, Cognito, ProcessOut, Recommend, CATS, Smarsh, Row 44, Clustree, Bleemeo

1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg