InfluxDB vs MarkLogic comparison

InfluxData and Progress Software are both solutions in the NoSQL Databases category. InfluxData is ranked #6 with an average rating of 8.2, while Progress Software is ranked #8 with an average rating of 8.3. InfluxData holds a 5.2% mindshare in ND, compared to Progress Software’s 2.9% mindshare. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 100% of Progress Software users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

7,127 Views
1,639 Comparison Views

100% willing to recommend

MarkLogic

Read 12 MarkLogic reviews

1,665 Views
1,499 Comparison Views

100% willing to recommend

InfluxDB

MarkLogic

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 7, 2025

InfluxDB and MarkLogic compete in the database space. InfluxDB appears to have the upper hand for time-series data management with effective tools for monitoring and alerting, while MarkLogic demonstrates strength in handling unstructured data and enterprise integration.

Features: InfluxDB excels with high-write loads, real-time analytics, and open-source integrations, making it ideal for time-series data. MarkLogic stands out for its capabilities in data integration, ACID transactions, and semantic search, suitable for businesses requiring comprehensive analytics in complex environments.

Ease of Deployment and Customer Service: InfluxDB provides a straightforward deployment process, particularly in cloud environments, with strong community support. MarkLogic, while requiring more specialized knowledge, offers robust enterprise support, underscoring its suitability for large-scale deployments.

Pricing and ROI: InfluxDB offers a cost-effective solution, appealing to startups and mid-sized companies with low initial costs and quick ROI for time-series applications. MarkLogic's higher price reflects its extensive features, offering long-term ROI for large enterprises needing complex data integrations.

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

Buyer's Guide

InfluxDB vs. MarkLogic

August 2026

Download the complete report

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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

6.4

Organizations gained efficiency and cost savings with MarkLogic, improving feature delivery, data retrieval, and reducing maintenance complexities.

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

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

It simplifies processes and reduces the need for additional employees.

Mugeesh Husain

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

For more quotes and insights, download the InfluxDB report

For example, by using MarkLogic to handle semi-structured data directly, I have reduced ETL prep and transformation time by roughly 30 to 40 percent, freeing up engineers to focus on more value-added tasks instead of manual data cleaning.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

This led to roughly a thirty to forty percent reduction in backend development effort.

RituRaj

SDE 2 at Virtusa

In metrics, I think they save three or four hours now daily because we have really enabled them to have the data in real time instead of waiting for another day.

PramodChaudharyDarwha

Manager at TCS

For more quotes and insights, download the MarkLogic 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

6.2

MarkLogic customer service is praised for responsiveness, expertise, and effective issue resolution with well-structured support models.

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.

reviewer2804886

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.

Mugeesh Husain

Team Lead, Software at Energybox

For more quotes and insights, download the InfluxDB report

I would rate customer support 10 out of 10.

PramodChaudharyDarwha

Manager at TCS

I would rate MarkLogic's customer support an eight due to its responsiveness, especially for higher priority issues.

RituRaj

SDE 2 at Virtusa

Once the system was set up, it was quite stable, and most issues could be handled internally.

Mampi Bhattacharya

Developer at a tech vendor with 10,001+ employees

For more quotes and insights, download the MarkLogic report

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

6.1

MarkLogic offers efficient horizontal scalability, supporting seamless resource expansion and handling large datasets with consistent, enterprise-level performance.

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.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

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

Henning Jansen

Senior System Developer at Norled

For more quotes and insights, download the InfluxDB report

Overall, it scales well, but getting the best performance depends on how well you design and configure it.

Mampi Bhattacharya

Developer at a tech vendor with 10,001+ employees

In production, when you get to know that your data is increasing and you need to add one more node, that is not easy and not straightforward.

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

The system handles this increase in XML workloads well, and flexible indexing helps maintain query performance even as datasets expand.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

For more quotes and insights, download the MarkLogic report

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

7.7

MarkLogic is reliable for enterprise apps, offering high availability, ACID transactions, and strong performance despite occasional stability issues.

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

Henning Jansen

Senior System Developer at Norled

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

reviewer2804886

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

For more quotes and insights, download the InfluxDB report

The built-in replication and failover features also help maintain uptime, ensuring the system stays operational even during maintenance or updates.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

We used to have production issues, mainly due to MarkLogic failures.

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

For more quotes and insights, download the MarkLogic report

Room For Improvement

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

MarkLogic needs UI enhancements, better integration, and developer tools to address learning curve, documentation, and pricing challenges.

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.

Henning Jansen

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

For more quotes and insights, download the InfluxDB report

You do not need to worry about maintaining your own servers or provisioning your own servers. You simply log in and tell MarkLogic you want a certain number of clusters or nodes in a cluster and what cloud provider you want to use, then click okay, and they will build it for you.

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

Tooling and ecosystem support do not feel as rich as mainstream databases such as Hive or SQL servers in terms of connectors and integration or community resources.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

A better UI with more features on it, something user-friendly, would be beneficial.

Islam Md

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

For more quotes and insights, download the MarkLogic report

Setup Cost

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

MarkLogic's high pricing suits enterprises, offering robust support and reputation, ideal for medium and large businesses.

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

Henning Jansen

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.

Mugeesh Husain

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.

reviewer2804886

Senior Data Engineer at a university with 201-500 employees

For more quotes and insights, download the InfluxDB report

The initial setup cost is moderate to high, mainly due to infrastructure provisioning, licensing costs, and initial configuration and onboarding efforts.

RituRaj

SDE 2 at Virtusa

MarkLogic is quite costly, and they are looking to move away in the longer run for that reason.

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

I believe the pricing and licensing are definitely on the higher side compared to open-source alternatives.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

For more quotes and insights, download the MarkLogic report

Valuable Features

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

MarkLogic offers powerful search, indexing, and flexible data management, enhancing performance and efficiency while reducing development and integration time.

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.

Henning Jansen

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

For more quotes and insights, download the InfluxDB report

It has a very rich search and cts APIs to build search engines on large datasets.

Dixit Singla

Staff Engineer at a tech vendor with 10,001+ employees

I personally appreciate the built-in search feature because it indexes all data immediately upon ingestion for rapid searching, so we can perform full-text, phrase, or geospatial searches.

reviewer2811294

Non IT Recruiter at a computer software company with 11-50 employees

Its flexible schema and indexing capabilities allow me to index anything, including nested elements, which speeds up queries and reduces the need for custom code.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

For more quotes and insights, download the MarkLogic report

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 (6th), Network Monitoring Software (14th), IT Infrastructure Monitoring (12th)

MarkLogic

Ranking in NoSQL Databases

8th

Average Rating

8.6

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of InfluxDB is 5.2%, down from 7.6% compared to the previous year. The mindshare of MarkLogic is 2.9%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
InfluxDB	5.2%
MarkLogic	2.9%
Other	91.9%

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.

Read full review

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

Handling hierarchical insurance data has improved ETL workflows and still needs better integration

There are several things I have observed regarding MarkLogic's improvement areas. One challenge I notice is the learning curve and setup; it can be complex for someone new, especially when integrating with other systems or setting up indexing strategies for large datasets. I occasionally spend extra time fine-tuning indexes or query performance for really large documents. Another observation concerns tooling and ecosystem support, as it does not feel as rich as mainstream databases such as Hive or SQL servers in terms of connectors and integration or community resources. Sometimes I need to build custom scripts to bridge these gaps. Finally, monitoring and debugging distributed queries can be tricky; while it has built-in tools, deeper performance profiling or tracing is not always intuitive. Overall, these are not deal-breakers, but improvements in onboarding, ecosystem connectors, and monitoring would enhance the experience.

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Comms Service Provider

10%

Manufacturing Company

Construction Company

Educational Organization

23%

Transportation Company

13%

Program Development Consultancy

10%

Financial Services Firm

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	5
Midsize Enterprise	3
Large Enterprise	11

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...

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What is your experience regarding pricing and costs for MarkLogic?

As far as I know, I am not directly associated with pricing, setup cost, and licensing, but MarkLogic is a bit more expensive than other technologies available. However, the support is really good,...

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What needs improvement with MarkLogic?

MarkLogic can be improved by introducing a lot of languages to querying. Although I think it is self-sufficient if you know JavaScript and XQuery, for new people who want to onboard into MarkLogic,...

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What is your primary use case for MarkLogic?

MarkLogic serves as our enterprise-level database with multiple applications. We have numerous source systems that dump data into MarkLogic. DHF flows manage transformation, harmonization, mapping,...

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 MarkLogic

Compared 20% of the time

MongoDB Enterprise Advanced vs MarkLogic

Compared 17% of the time

Cassandra vs MarkLogic

Compared 12% of the time

Neo4j Graph Database vs MarkLogic

Compared 11% of the time

DataStax Enterprise vs MarkLogic

Compared 10% of the time

More MarkLogic Competitors

Product Reports

Buyer's Guide

InfluxDB

August 2026

Download InfluxDB product report

Buyer's Guide

MarkLogic

August 2026

Download MarkLogic 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

MarkLogic offers robust capabilities for data storage and retrieval, supporting multiple formats like XML and JSON. Its built-in search and indexing facilitate rapid data querying, making it efficient for industries demanding quick data management solutions.

Boasting flexibility in data management, MarkLogic supports XML and JSON formats without strict schemas, integrating storage and search within a single platform to reduce complexity. This configuration enhances data handling, performance, and development speed. Industries like publishing, insurance, and healthcare benefit from its real-time processing, enabling tasks that range from creating PDFs to complex backend services. While users appreciate these capabilities, suggestions include interface modernization and better integration with tools like VS Code and IntelliJ.

What are MarkLogic's standout features?

Built-in Search and Indexing: Facilitates rapid data querying and retrieval.
Multiple Data Format Support: Offers flexibility with XML and JSON without strict schemas.
Integrated Storage and Search: Combines functionalities to minimize system complexity.
ACID Transactions: Enhances reliability and data integrity.

What benefits can be expected from MarkLogic?

Improved Efficiency: Streamlines data handling with reduced complexity.
Enhanced Performance: Supports faster development and system responsiveness.
Flexibility in Data Management: Handles multiple formats effortlessly.
Scalable Solution: Ensures performance across multiple nodes.

MarkLogic sees extensive use in publishing, insurance, and healthcare, where it aids in real-time processing, querying, and transformation of data. Its indexing and search capabilities allow efficient management of semi-structured data, smoothing tasks from document creation to backend solutions, without necessitating extensive migrations.

Progress Software

Sample Customers

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

ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley

Buyer's Guide

InfluxDB vs. MarkLogic

August 2026

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