InfluxDB vs Oracle NoSQL comparison

InfluxData and Oracle are both solutions in the NoSQL Databases category. InfluxData is ranked #6 with an average rating of 8.2, while Oracle is ranked #15 with an average rating of 6.0. InfluxData holds a 5.2% mindshare in ND, compared to Oracle’s 4.0% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of Oracle users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

6,493 Views
1,558 Comparison Views

100% willing to recommend

Oracle NoSQL

Read 8 Oracle NoSQL reviews

1,298 Views
1,233 Comparison Views

100% willing to recommend

InfluxDB

Oracle NoSQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

InfluxDB and Oracle NoSQL compete in the database management space. InfluxDB is seen as more cost-effective with strong customer support, while Oracle NoSQL is recognized for its robust features that justify its higher cost.

Features: InfluxDB efficiently handles high-volume time-series data due to its powerful querying capabilities. It integrates well with various tools and offers a user-friendly interface that simplifies data visualization. Oracle NoSQL provides a flexible data model and strong ACID compliance, making it suitable for complex transactions. Its high availability, seamless integration with Oracle Database, and robust data retrieval capabilities are significant benefits.

Room for Improvement: InfluxDB could enhance its documentation for better user guidance and expand its plugin ecosystem to offer broader integration options. An improved continuous query feature could also benefit users. Oracle NoSQL might work on simplifying its deployment process, bettering scalability without impacting performance, and offering more intuitive management tools to reduce complexity.

Ease of Deployment and Customer Service: InfluxDB provides straightforward deployment options with responsive customer support, making the setup process smooth. Oracle NoSQL, although more complex due to its feature set, benefits from comprehensive documentation and strong support, helping users navigate its capabilities effectively.

Pricing and ROI: InfluxDB offers competitive pricing, which translates to a good ROI, particularly for businesses focused on time-series data analytics. Oracle NoSQL, despite a higher upfront cost, delivers substantial ROI in environments needing advanced scalability and integration features. This positions InfluxDB as a more cost-effective choice for specific analytics tasks, whereas Oracle NoSQL offers greater value in extensive and feature-rich deployments.

To learn more, read our detailed InfluxDB vs. Oracle NoSQL Report (Updated: June 2026).

Buyer's Guide

InfluxDB vs. Oracle NoSQL

June 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:

Categories and Ranking

InfluxDB

Ranking in NoSQL Databases

6th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Non-Relational Databases (1st), Open Source Databases (7th), Network Monitoring Software (13th), IT Infrastructure Monitoring (14th)

Oracle NoSQL

Ranking in NoSQL Databases

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of July 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.2%, down from 7.8% compared to the previous year. The mindshare of Oracle NoSQL is 4.0%, up from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.2%
Oracle NoSQL	4.0%
Other	90.8%

NoSQL 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.

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Susantha Kumar

Support on banking at Aithent

Handles large data volumes effectively but connection issues require attention

The Oracle NoSQL solution is used primarily for storing data for our web applications. We work alongside the DBA team for this purpose, given that specific departments manage aspects of its use. We choose it specifically to handle large scales of data, such as in one of our bank customer's scenarios using more than nine hundred gigabytes of data.

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 has positively impacted Energy Box by being the best choice for our needs."

"The platform operates very quickly. It is easy to configure, connect, and query and integrates seamlessly with Grafana."

"The solution is very powerful."

"As a time series database, it is very powerful and lightweight, and it can deal with heavy workloads very easily."

"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."

"InfluxDB works as expected with excellent scalability and stability, which is critical for our application."

"While I would rate InfluxDB a ten on a scale of one to ten, users should be thoughtful about matching the engine to their specific needs."

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

More InfluxDB pros

"So far, we find stability to be very reasonable, it is dependable and we do not have any big issues."

"The tool is easy to learn."

"The features I've found to be most valuable are the speed of reading and writing (read/write performance levels are really high), the transactions model (semantics for data manipulation), and just the overall simplicity of using it."

"The product meets expectations when it comes to stability."

"Try it! You’ll be impressed."

"With Oracle NoSQL, our clients have a highly scalable, simple to set up database that performs very well when data is organized correctly from the beginning."

"Oracle NoSQL is pretty scalable."

"We have a support agreement with Oracle, ensuring full support for the product. It is crucial for our public-facing features. Oracle NoSQL is easy to manage and has fast data retrieval. Its compatibility with Oracle Database is seamless, making integration between NoSQL and relational databases smooth and effortless. Oracle NoSQL and NoSQL data replication in our environment works efficiently. Oracle fully supports it, and we can easily configure and manage authentication for the NoSQL database."

More Oracle NoSQL pros

Cons

"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."

"It is challenging to get long-running backups while running InfluxDB in a Microsoft Azure Kubernetes cluster."

"The solution doesn't have much of a user interface."

"InfluxDB can improve by including new metrics on other technologies. They had some changes recently to pool data from endpoints but the functionality is not good enough in the industry."

"The error logging capability can be improved because the logs are not very informative."

"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 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."

"However, I do wish the documentation and community resources around Flux were more extensive and beginner-friendly."

More InfluxDB cons

"The installation is difficult."

"You will get high performance when you organize your data correctly at the beginning. Otherwise, there are instability issues."

"Oracle could improve how NoSQL works in containers. I don't think NoSQL needs any new features, but I want to see new features in the Oracle Cloud Infrastructure. I would like to see some improvements in OCI's building options."

"I would rate Oracle NoSQL six or 6.5 out of ten based on my experience."

"Handling big data in a user-friendly way is currently a bit of an issue. The dashboard for this needs some work."

"The main areas that need improvement with NoSQL are in the area of big data and user-friendly presentation."

"Personally, I’d like to see some improvements in the monitoring UI for it."

"Focusing on making the administration easier compared to other solutions like MongoDB could be beneficial. Simplifying the administrative tasks could enhance the user experience."

More Oracle NoSQL cons

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."

"The product is expensive and Oracle could work to lower the licensing cost."

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

Comms Service Provider

Construction Company

Financial Services Firm

13%

Outsourcing Company

12%

Performing Arts

Comms Service Provider

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
Midsize Enterprise	3
Large Enterprise	5

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 ...

See all answers

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 NoSQL?

We use the enterprise edition of Oracle NoSQL.

See all answers

What needs improvement with Oracle NoSQL?

Sometimes we face problems with the connection between our applications and the database. It may be due to network issues or performance issues on Oracle's side. Our DBA team requests validations f...

See all answers

What is your primary use case for Oracle NoSQL?

We use Oracle NoSQL ( /products/oracle-nosql-reviews ) to store data for our web applications. It is being used for customer projects, and we handle one of our bank customers using more than nine h...

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

Cloudera Distribution for Hadoop vs Oracle NoSQL

Compared 18% of the time

MongoDB Enterprise Advanced vs Oracle NoSQL

Compared 14% of the time

Cassandra vs Oracle NoSQL

Compared 12% of the time

Amazon QLDB vs Oracle NoSQL

Compared 10% of the time

Neo4j Graph Database vs Oracle NoSQL

Compared 5% of the time

More Oracle NoSQL Competitors

Product Reports

Buyer's Guide

InfluxDB

July 2026

Download InfluxDB product report

Buyer's Guide

NoSQL Databases

June 2026

Download Oracle NoSQL product report

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 NoSQL is known for its distributed architecture, which ensures scalability and high availability, making it ideal for handling substantial data across diverse applications.

Oracle NoSQL leverages its distributed nature to offer automatic load balancing and powerful schema evolution tools. With features such as a Java table API and seamless integration with Oracle Database, it efficiently manages unstructured data and supports high read/write operations. Departments dealing with large-scale data benefit from fast data retrieval and effective data replication, with support agreements facilitating easy management.

What are Oracle NoSQL's key features?

Distributed Architecture: Ensures data availability and scalability.
Automatic Load Balancing: Distributes workloads evenly across servers.
Table API for Java: Facilitates integration with Java applications.
Powerful Schema Evolution: Allows changes without downtime.
Efficient Data Replication: Supports high availability and disaster recovery.

What benefits should users expect?

High Performance: Fast data retrieval for large datasets.
Seamless Integration: Compatibility with Oracle Database enhances usability.
Easy Data Management: Simplifies handling of unstructured data.
Scalability: Supports future data growth effortlessly.

In telecom solutions, Oracle NoSQL helps store structured data and logs, supporting relational databases. It plays a crucial role in banking by managing over 900 gigabytes of data, facilitating data fetching and updates efficiently. Its implementation across infrastructure and web applications highlights its robustness in varied use cases.

Oracle

Sample Customers

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

Airbus, Globacom, WebAction

Buyer's Guide

InfluxDB vs. Oracle NoSQL

June 2026

Free Report: InfluxDB vs. Oracle NoSQL

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