InfluxDB vs PostgreSQL comparison

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InfluxDB

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Executive SummaryUpdated on Jan 23, 2025

PostgreSQL and InfluxDB compete in the database management category. While both have their strengths, PostgreSQL holds an advantage in traditional database features and scalability, whereas InfluxDB is superior in handling time-series data efficiently.

Features: PostgreSQL is known for supporting complex queries, scalability, and ACID compliance. It is open-source and cost-effective, with strong extensibility through native extensions. InfluxDB specializes in handling time-series data efficiently, offering robust plugins for integration and performance in large dataset queries.

Room for Improvement: PostgreSQL could enhance read-only query performance, SQL functionalities, and setup complexity. InfluxDB faces challenges with high-cardinality data and lacks comprehensive backup options for cloud deployments, along with needing improvement in integration and password encryption support.

Ease of Deployment and Customer Service: Both PostgreSQL and InfluxDB provide multiple deployment options, including on-premises and cloud. PostgreSQL offers broad flexibility but may require experienced staff for optimal setup. InfluxDB benefits from cloud configuration simplicity. Both rely on community support due to their open-source nature.

Pricing and ROI: As open-source platforms, PostgreSQL and InfluxDB eliminate licensing fees, reducing adoption barriers. PostgreSQL is cost-effective with robust community support, offering a solid ROI for enterprises. InfluxDB's ROI is achieved through its time-series capabilities, although larger deployments may face budget impacts due to recent price increases.

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

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InfluxDB vs. PostgreSQL

April 2026

Helped 893,221 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:

ROI

Sentiment score

5.6

InfluxDB enhances efficiency with real-time monitoring automation, reducing manual work and boosting system reliability and uptime.

Sentiment score

7.0

PostgreSQL's open-source nature offers cost savings, quick ROI, and improved performance, beneficial for both 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.

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Team Lead, Software at Energybox

InfluxDB reduced my time to show data without any interruption, also reducing the number of people needed to manage the project; it is very good to have InfluxDB in my project.

Btece Lodi

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

No quotes available

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Customer Service

Sentiment score

5.8

InfluxDB's customer service is efficient with enterprise licenses, yet response times vary; knowledgeable support aids complex issues.

Sentiment score

6.7

PostgreSQL support is community-driven, with robust third-party services and comprehensive documentation, but lacks centralized official support.

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

Manas Kashyap

DevOps Engineer at Elevenxcapital

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.

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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.

Ece Ece

Software developer at Student

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

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Data Science Architect at publicis Sapient

Scalability Issues

Sentiment score

7.0

InfluxDB is valued for scalability in handling large data volumes, with enterprise features supporting extensive scale despite variable costs.

Sentiment score

7.5

PostgreSQL effectively manages scalability with high transaction volumes, excelling in cloud environments and benefiting from cost-effective open-source expansion.

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.

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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.

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Data Science Architect at publicis Sapient

Stability Issues

Sentiment score

8.0

InfluxDB is generally stable, with some crash reports; praised support, but monitoring metrics is recommended for mission-critical use.

Sentiment score

8.0

PostgreSQL is praised for stability and reliability, outperforming MySQL and often preferred over Oracle for dependable performance.

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.

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Data Science Architect at publicis Sapient

Room For Improvement

InfluxDB should enhance its query language, scalability, documentation, and integration while improving performance, security, and pricing flexibility.

Users want improved PostgreSQL user-friendliness, query optimization, BI integration, scalability, multi-master replication, and enhanced documentation.

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

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

Ece Ece

Software developer at Student

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 provides cost-effective scalability for enterprises, but requires careful cost planning due to increasing subscription prices.

PostgreSQL is a cost-effective, open-source database offering flexibility, scalability, and optional support, ideal for businesses with budget constraints.

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.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Valuable Features

InfluxDB excels in fast writes, real-time analytics, seamless integration, scalability, and ease of use, enhancing organizational decision-making.

PostgreSQL offers robust geospatial support, extensibility, performance, scalability, and diverse features, making it a highly valued open-source database.

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.

Ece Ece

Software developer at Student

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

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Categories and Ranking

InfluxDB

Ranking in Open Source Databases

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Network Monitoring Software (13th), IT Infrastructure Monitoring (14th), NoSQL Databases (6th)

PostgreSQL

Ranking in Open Source Databases

1st

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

127

Ranking in other categories

Vector Databases (6th)

Mindshare comparison

As of May 2026, in the Open Source Databases category, the mindshare of InfluxDB is 5.0%, up from 3.9% compared to the previous year. The mindshare of PostgreSQL is 13.3%, down from 18.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	13.3%
InfluxDB	5.0%
Other	81.7%

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

12%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Financial Services Firm

11%

Computer Software Company

11%

Comms Service Provider

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	57
Midsize Enterprise	27
Large Enterprise	47

Questions from the Community

What needs improvement with InfluxDB?

InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage. InfluxDB is not suitable for relational databases lik...

What is your primary use case for InfluxDB?

My main use case for InfluxDB is storing a time series database and analyzing data changes over time. I use InfluxDB to store my infrastructure and application metrics, logs, events, and data, and ...

What advice do you have for others considering InfluxDB?

I would advise others looking into using InfluxDB that if they want to store a time series database for monitoring, logging, and event-based tasks, and also want long-term retention of the database...

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 do you like most about PostgreSQL?

It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.

What is your experience regarding pricing and costs for PostgreSQL?

I purchased from the marketplace, so licensing and pricing cost is acceptable. To be honest, there is a separate team who handles the cost of licensing everything. I have admin access on Azure and ...

MongoDB Enterprise Advanced vs InfluxDB

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Product Reports

Download InfluxDB product report

InfluxDB

May 2026

Download PostgreSQL product report

April 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