InfluxDB vs OpenText Analytics Database (Vertica) comparison

InfluxData and OpenText are both solutions in the NoSQL Databases category. Additionally, 100% of InfluxData users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

InfluxDB

Read 20 InfluxDB reviews

7,127 Views
1,639 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

8,038 Views
4,421 Comparison Views

91% willing to recommend

InfluxDB

OpenText Analytics Database...

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Executive Summary

We performed a comparison between InfluxDB and OpenText Analytics Database (Vertica) based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: August 2026).

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NoSQL Databases

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

6.2

Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.

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

I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) 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

7.1

OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.

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

Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.

Jitendrak Naik

consultant at tcs

For more quotes and insights, download the OpenText Analytics Database (Vertica) 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

7.2

OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.

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

We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.

Jitendrak Naik

consultant at tcs

OpenText Analytics Database (Vertica) has very good scalability.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

Analytics Manager at a wholesaler/distributor with 10,001+ employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) 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

7.2

OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.

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

OpenText Analytics Database (Vertica) is very stable.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Room For Improvement

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

OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.

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

Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.

Jitendrak Naik

consultant at tcs

Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Setup Cost

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

OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.

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 pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Valuable Features

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

OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.

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

I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.

Prassingh Singh

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.

Jitendrak Naik

consultant at tcs

The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.

Vasant Pramod Diwane

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Categories and Ranking

InfluxDB

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), NoSQL Databases (6th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Cloud Data Warehouse (11th)

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

Jitendrak Naik

consultant at tcs

Data warehousing has transformed reporting performance and now delivers near real-time insights

OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

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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

16%

Outsourcing Company

Computer Software Company

Manufacturing 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	29
Midsize Enterprise	23
Large Enterprise	43

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 Vertica?

My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.

See all answers

What needs improvement with Vertica?

OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...

See all answers

What is your primary use case for Vertica?

The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...

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Compared 4% of the time

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Compared 4% of the time

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Product Reports

Buyer's Guide

InfluxDB

August 2026

Download InfluxDB product report

Buyer's Guide

OpenText Analytics Database (Vertica)

August 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

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

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

Sample Customers

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

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases. Updated: August 2026.

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