InfluxDB vs Oracle Berkeley DB comparison

InfluxData and Oracle are both solutions in the Non-Relational Databases category. InfluxData is ranked #1 with an average rating of 8.2, while Oracle is ranked #2 with an average rating of 8.0. InfluxData holds a 6.3% mindshare in NRD, compared to Oracle’s 9.3% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 66% of Oracle users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

7,127 Views
499 Comparison Views

100% willing to recommend

Oracle Berkeley DB

Read 5 Oracle Berkeley DB reviews

1,430 Views
772 Comparison Views

66% willing to recommend

InfluxDB

Oracle Berkeley DB

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between InfluxDB and Oracle Berkeley DB based on real PeerSpot user reviews.

Find out in this report how the two Non-Relational Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

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

Buyer's Guide

InfluxDB vs. Oracle Berkeley DB

August 2026

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Helped 908,834 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

InfluxDB

Ranking in Non-Relational Databases

1st

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Open Source Databases (6th), Network Monitoring Software (14th), IT Infrastructure Monitoring (12th), NoSQL Databases (6th)

Oracle Berkeley DB

Ranking in Non-Relational Databases

2nd

Average Rating

7.2

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Embedded Database (7th)

Mindshare comparison

As of August 2026, in the Non-Relational Databases category, the mindshare of InfluxDB is 6.3%, down from 7.8% compared to the previous year. The mindshare of Oracle Berkeley DB is 9.3%, down from 11.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Non-Relational Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	6.3%
Oracle Berkeley DB	9.3%
Other	84.4%

Non-Relational Databases

Featured Reviews

Mugeesh Husain

Team Lead, Software at Energybox

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

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.

Read full review

Emad Mokhatab

Solution & Software System Architect at Shaparak

Easy to integrate and manage the setup phase

One of the things that I want to see in Oracle Berkeley DB is a driver for reactive programming. I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into. Other tools have become more innovative in many areas. I know that Oracle has many responsibilities in maintaining the situation with the current projects and so on. I think it would be very cool if Oracle could make improvements to its projects, as it can help me with my current projects. One reason why I don't choose Oracle Berkeley DB is because we want to go for reactive programming, along with Project Reactor from Spring, but we don't have the official driver for it.

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

"InfluxDB's best feature is that it's a cloud offering. Other good features include its time-series DB, fast time-bulk queries, and window operations."

"The most valuable features of InfluxDB are the documentation and performance, and the good plugins metrics in the ecosystem."

"In our case, it started with a necessity to fill the gap that we had in monitoring. We had very reactive monitoring without trend analysis and without some advanced features. We were able to implement them by using a time series database. We are able to have all the data from applications, logs, and systems, and we can use a simple query language to correlate all the data and make things happen, especially with monitoring. We could more proactively monitor our systems and our players' trends."

"The solution is very powerful."

"This product has been working well and it is serving our purpose, so I can recommend it to others."

"Based on InfluxDB, we have great analytics produced by our SRE team, and with that, we have an alerting and monitoring system in place."

"Overall, InfluxDB delivered excellent performance, stability, and simplicity for telemetry-driven use cases."

"The most valuable features are aggregating the data and integration with Graphana for monitoring."

More InfluxDB pros

"As a key/value store, Oracle BDB is simple to use, and it provides ACID transactions for companies that cannot afford eventual consistency."

"We always had predictability, and by using a custom-built data service layer with plugins, it provided us a lot of scalability, fast turnaround for our fast-moving business requirement and huge data."

"This product helped us to develop a performance-critical DB backend module in the healthcare domain."

"The product meets all the essential business requirements."

"The tool's performance is good, and I don't have any problems with it."

Cons

"If it gets a little bit more into the metric side, then it would really be great, similar to Prometheus."

"Customer support is fair enough but can be improved."

"I haven't seen a return on investment; unfortunately, I cannot share relevant metrics such as time saved, fewer employees needed, or money saved."

"InfluxDB is generally stable, but we've encountered issues with the configuration file in our ticket stack. For instance, a mistake in one of the metrics out of a hundred KPIs can disrupt data collection for all KPIs. This happens because the agent stops working if there's an issue with any configuration part. To address this, it is essential to ensure that all configurations are part of the agent's EXE file when provided. This makes it easier to package the agent for server installation and ensures all KPIs are available from the server. Additionally, the agent cannot encrypt and decrypt passwords for authentication, which can be problematic when monitoring URLs or requiring authentication tokens. This requires additional scripting and can prolong service restart times."

"InfluxDB cannot be used for high-cardinality data. It's also difficult and time-consuming to write queries, and there are some issues with bulk API."

"InfluxDB can be improved by addressing issues such as performance drops, queries being more difficult to understand, and its high memory usage."

"Sometimes, when we write too much data within a minute, the data count becomes excessive, reaching perhaps 100,000 or 500,000 data points, and InfluxDB gives a timeout exception, which we must handle in our application."

"However, I cannot ignore the challenges I faced while configuring the database with my message brokers, whether Rabbit or Kafka, because the documentation is not properly provided."

More InfluxDB cons

"Memory usage becomes a problem when the number of entries stored within the key/value store are quite high (hundreds of millions)."

"Environment corruption is a common problem found when a DB environment is used by more than one process on a machine at a time."

"There were some mid-term small releases that caused database crashes, but this was later fixed."

"I think the tool's official driver for reactive programming, especially for Java, is the thing that Oracle needs to be more agile in, specifically in those areas of programming that other products are currently going into."

"The product's interface could be more intuitive and user-friendly."

Pricing and Cost Advice

"We are using the open-source version of InfluxDB."

"The tool is an open-source product."

"InfluxDB is open-source, but there are additional costs for scaling."

"There is a need to pay for the licenses and features of the tool."

"I rate the product's pricing a five out of ten."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

University

14%

Financial Services Firm

13%

Educational Organization

11%

Outsourcing 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

No data available

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...

See all answers

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 ...

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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...

See all answers

What is your experience regarding pricing and costs for Oracle Berkeley DB?

There is a need to pay for the licenses and features of the tool. It can help other people use the tool properly.

See all answers

What needs improvement with Oracle Berkeley DB?

See all answers

What advice do you have for others considering Oracle Berkeley DB?

Giving out some free subscriptions and offering some premium plans for enterprise solutions that Oracle presents to the audience can help other people who want to use it. Being more agile in adapti...

See all answers

Comparisons

PostgreSQL vs InfluxDB

Compared 7% of the time

MySQL vs InfluxDB

Compared 6% of the time

MongoDB Enterprise Advanced vs InfluxDB

Compared 6% of the time

SQLite vs InfluxDB

Compared 6% of the time

ClickHouse vs InfluxDB

Compared 5% of the time

More InfluxDB Competitors

SQLite vs Oracle Berkeley DB

Compared 15% of the time

DuckDB vs Oracle Berkeley DB

Compared 9% of the time

InterSystems Caché vs Oracle Berkeley DB

Compared 9% of the time

Claris FileMaker vs Oracle Berkeley DB

Compared 8% of the time

Actian Versant FastObjects vs Oracle Berkeley DB

Compared 4% of the time

More Oracle Berkeley DB Competitors

Product Reports

Buyer's Guide

InfluxDB

July 2026

Download InfluxDB product report

Buyer's Guide

Embedded Database

July 2026

Download Oracle Berkeley DB product report

Also Known As

No data available

Berkeley DB

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

Oracle Berkeley DB is an embedded database known for high performance and scalability, suitable for applications requiring efficient data management. It supports a wide range of platforms, making it a versatile choice for developers.

Designed for high availability and transactional integrity, Oracle Berkeley DB offers a lightweight, fast storage engine. Its flexibility allows for custom implementations across multiple languages, enhancing its utility in embedded systems. With capabilities like ACID transactions, it assures data consistency and durability. Its minimal footprint and low latency make it ideal for applications where speed is critical, efficiently handling both simple and complex data management tasks.

What are the most important features of Oracle Berkeley DB?

ACID Compliance: Ensures reliable transactions and data integrity.
Scalability: Effectively handles large volumes of data.
Multiple API Support: Provides flexibility with C, C++, Java, and other languages.
High Availability: Offers replication for uninterrupted data access.
Low Latency: Optimizes speed for rapid data retrieval and storage.

What benefits or ROI should users look for in reviews?

Reduced Operational Costs: Efficient resource utilization minimizes expenses.
Performance Gains: Enhanced processing speeds improve application response time.
Flexibility in Deployment: Supports diverse environments and platforms.
Reliability: Steady performance under heavy workloads ensures consistent service delivery.
Enhanced Data Management: Robust features streamline data handling processes.

In telecommunications, financial services, and retail industries, Oracle Berkeley DB is implemented to support high-transaction applications where reliability and speed are critical. Its adaptability allows seamless integration, catering to the specific data management needs of these industries.

Oracle

Sample Customers

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

Safe Water Kenya

Buyer's Guide

InfluxDB vs. Oracle Berkeley DB

August 2026

Free Report: InfluxDB vs. Oracle Berkeley DB

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