Elastic Observability vs IDERA Precise comparison

Elastic and IDERA are both solutions in the Application Performance Monitoring (APM) and Observability category. Elastic is ranked #10 with an average rating of 8.9, while IDERA is ranked #60. Elastic holds a 2.2% mindshare in APM, compared to IDERA’s 0.6% mindshare. Additionally, 88% of Elastic users are willing to recommend the solution, compared to 100% of IDERA users who would recommend it.

Elastic Observability

Read 29 Elastic Observability reviews

8,553 Views
6,586 Comparison Views

88% willing to recommend

IDERA Precise

Read 2 IDERA Precise reviews

970 Views
873 Comparison Views

100% willing to recommend

Elastic Observability

IDERA Precise

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

IDERA Precise and Elastic Observability compete in the monitoring solutions category. Elastic Observability has an edge due to its feature richness and better customer support.

What features are offered by IDERA Precise in comparison to Elastic Observability?

IDERA Precise offers detailed performance monitoring, customizable dashboards, and efficient database performance tracking. Elastic Observability provides comprehensive log management, advanced analytics capabilities, and better integration with cloud environments.

What areas of improvement can be found in IDERA Precise in comparison to Elastic Observability?

IDERA Precise needs better integration capabilities, a more modern interface, and more extensive alerting features. Elastic Observability can enhance its alerting functions, optimize resource usage, and streamline user interface performance.

How is the ease of deployment and customer service of IDERA Precise in comparison to Elastic Observability?

IDERA Precise is noted for straightforward deployment but has mixed reviews on customer service response times. Elastic Observability takes longer to deploy but receives high marks for comprehensive support and documentation.

What setup costs and ROI can be seen with IDERA Precise in comparison to Elastic Observability?

IDERA Precise is valued for its licensing model, providing good value for its cost. Elastic Observability, though pricier, is considered worth the investment due to its extensive capabilities and scalable ROI.

To learn more, read our detailed Elastic Observability vs. IDERA Precise Report (Updated: March 2026).

Buyer's Guide

Elastic Observability vs. IDERA Precise

March 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

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

10th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (15th), Log Management (15th), Container Monitoring (5th), Cloud Monitoring Software (11th)

IDERA Precise

Ranking in Application Performance Monitoring (APM) and Observability

60th

Average Rating

9.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Elastic Observability is 2.2%, down from 5.9% compared to the previous year. The mindshare of IDERA Precise is 0.6%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	2.2%
IDERA Precise	0.6%
Other	97.2%

Application Performance Monitoring (APM) and Observability

Featured Reviews

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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it_user3024

Senior Manager of Operations at a retailer with 1,001-5,000 employees

Simple to use but incredibly powerful

Great for rapid root cause, data is presented back in a way that is easy for non technical stakeholders to absorb (DBAs, Cap Analysts, testers, developers, application support), easy deployment on Oracle and SQL systems. Trending all SQL statements over time is invaluable to understand step changes. i.e is this slow because it is processing more or because an explain plan has changed.Dashboards and reports are very powerful.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"I recommend Elastic Observability for its completeness of vision and wide ecosystem."

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."

"We use AppDynamics and Elastic, and the reason why we're using Elastic APM is because of the license count; it's very favorable compared to AppDynamics, inexpensive, and economical."

"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."

"Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

"The most valuable feature of Elastic Observability is the text search."

"Machine learning is the most valuable feature of this solution."

More Elastic Observability pros

"Great for rapid root cause, data is presented back in a way that is easy for non technical stakeholders to absorb (DBAs, Cap Analysts, testers, developers, application support), easy deployment on Oracle and SQL systems."

"Gives an excellent perspective on the state of the system at fault as well as the past!"

Cons

"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."

"There's a steep learning curve if you've never used this solution before."

"More web features could be added to the product."

"Simplifying the parsing of logs and manual efforts would also be beneficial."

"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."

More Elastic Observability cons

"Web monitoring could be more robust and intuitive."

"The user interface requires little change-but this problem is small compared to the capabilities of the tool"

Pricing and Cost Advice

"The price of Elastic Observability is expensive."

"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."

"We have been using the open-source version."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

"The product is not that cheap."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"The product’s pricing needs improvement."

"Elastic Observability's pricing could be better for small-scale users."

More Elastic Observability pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

Government

Financial Services Firm

12%

Manufacturing Company

10%

Insurance Company

10%

Retailer

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

No data available

Questions from the Community

What do you like most about Elastic Observability?

Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...

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What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

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Comparisons

Dynatrace vs Elastic Observability

Compared 5% of the time

Grafana vs Elastic Observability

Compared 5% of the time

New Relic vs Elastic Observability

Compared 5% of the time

Sentry vs Elastic Observability

Compared 4% of the time

Datadog vs Elastic Observability

Compared 4% of the time

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Oracle Enterprise Manager vs IDERA Precise

Compared 15% of the time

Dynatrace vs IDERA Precise

Compared 9% of the time

Automai AppLoader vs IDERA Precise

Compared 8% of the time

Datadog vs IDERA Precise

Compared 8% of the time

Oracle Application Performance Monitoring Cloud Service vs IDERA Precise

Compared 7% of the time

More IDERA Precise Competitors

Product Reports

Buyer's Guide

Elastic Observability

March 2026

Download Elastic Observability product report

Buyer's Guide

Application Performance Monitoring (APM) and Observability

March 2026

Download IDERA Precise product report

Also Known As

No data available

Precise Application Performance Platform, Precise APM, Precise for SAP, Precise for Peoplesoft

Overview

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Precise for Databases helps database administrators to find and fix database performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning.

Precise for Applications helps IT administrators to find and fix application performance problems in physical, virtual, and cloud environments. Unlike its competition, it provides deep database optimization, end-to-end transaction view, isolation of problems and causes, scalable deployment, what-if analysis for changes, and history, trending, and planning.

IDERA

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Banco Bradesco; Bank of America; Carrefour; Energy Future Holdings; Fedex; Marriott International; Nestle; Reed Elsevier Group; Bank Leumi; Beijing Giftedstuffs Information Company, Ltd.; Daiwa Capital Markets, London; Magnitogorsky Iron Plant; Europa Sports; Mobistar Enterprise Services NV/SA; Air France; Casino IT; SoftBCom, Ltd.

Buyer's Guide

Elastic Observability vs. IDERA Precise

March 2026

Free Report: Elastic Observability vs. IDERA Precise

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