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Elastic Stack vs Google Cloud's operations suite (formerly Stackdriver) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 9, 2024
 

Categories and Ranking

Elastic Stack
Ranking in Log Management
12th
Average Rating
8.0
Number of Reviews
14
Ranking in other categories
No ranking in other categories
Google Cloud's operations s...
Ranking in Log Management
24th
Average Rating
8.0
Number of Reviews
10
Ranking in other categories
Application Performance Monitoring (APM) and Observability (22nd), Cloud Monitoring Software (21st)
 

Mindshare comparison

As of November 2024, in the Log Management category, the mindshare of Elastic Stack is 3.5%, up from 0.2% compared to the previous year. The mindshare of Google Cloud's operations suite (formerly Stackdriver) is 0.7%, down from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Mahesh Ramichetty - PeerSpot reviewer
Jan 2, 2024
A stable product that can be fine-tuned easily
Elastic Stack provides all sorts of things, so it provides Elasticsearch for the transformations into a specific format, and pipelines can be defined for distributed applications along with the logs that come in the JSON format, which is clean. It's only the enhancements or the security that the product lacks and needs to be enhanced. I don't think further enhancement of the features needs to be added to the solution because it is already equivalent to a monitoring or alerting system, like Dynatrace and other tools. Some developments in the area of AI, which Elastic Stack is currently working on, should be fine in terms of the enhancements. Whenever some critical issue happens, there should be some kind of a co-pilot that helps resolve the issue. The tool should learn from its own previous issues. If you take Databricks, you see that it provides a co-pilot for Python, so a similar kind of development in Elastic Stack would be a real asset for it. AI would be considered a good way to enable the tool further for more in 2024, and even a beta launch would be helpful. If you take any sort of cloud-native monitoring product, like Azure Monitor or AWS CloudWatch, you see that such products don't provide much of the insights. If you go with Azure Monitor for any sort of ML models to be there, Sentinel needs to be used from Azure, which is very costly. AI-enablement would be a big improvement in Elastic Stack. Everyone in the monitoring space, including Dynatrace and New Relic, has lately been discussing AI, but it doesn't seem to be coming out. If there is room for an ML model in Elastic Stack, then it would be good.
Anand_Patel - PeerSpot reviewer
May 17, 2024
Offers reliable Ops Agent and logging transport feature with easy third-party integrations
As part of our company, we implemented several changes in our log analytics pattern, including the storage and procurement process. Earlier, before implementing the solution, our company was able to procure only one year of data, but later, we came to the three-year mark. Around 15-20% reduction has been witnessed in the total analytic consumption of our company. The aforementioned result was possible because the solution allowed the creation of a dashboard where factors like storage costs, proportion of logs, and logs presence in a storage bucket or BigQuery can all be checked. Earlier all logs were stored in a raw storage, but currently our company is able to move logs in table bucket that contributes towards cost savings.

Quotes from Members

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

Pros

"The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it performed admirably. The alerting system is excellent, and searching through logs is incredibly efficient. What's impressive is that all three products or options are integrated into one solution. This means I don't need separate logging, monitoring, or antivirus solutions."
"The detection rules in Elastic Stack are the most valuable feature. The search capabilities are excellent and fast. As we collect logs from workstations and devices, the detection rules run on top of the logs and detect any suspicious activity, raising alerts accordingly. Integration with Elastic Stack depends on the specific integration. Elastic provides some bridging integrations that make it easy, but require custom integration. Most integrations are simple, but customization can be challenging because we need to do some parsing. There's something called Elastic Common Schema, and we need to parse the source logs to match this schema, which can be a bit challenging."
"The biggest strength of Elastic Stack is its brilliant archiving capabilities."
"The tool's most powerful aspect is its search engine capability. It's a highly effective and powerful solution for searching. We use it in professional and student projects at universities, and it delivers promising results."
"The machine learning capabilities are valuable."
"I think the ecosystem is well supported, and for logs, it was faster compared to our previous previous log management."
"It is a very scalable solution...I didn't face any problem with this scalability part of the solution since we only have a few pieces of equipment in our company."
"We can group a lot of alarms into one automation alarm supervision. The alarm supervision allows us to put the alarm under the same. It's quite helpful for us. We used that to suppress our alarms. Elastic already provides the agent. It is easy to integrate Elastic Stack with other devices and vendors."
"It's easy to use."
"Google's technical support is very good."
"The cloud login enables us to get our logs from the different platforms that we currently use."
"Our company has a corporate account for Google Cloud and so our systems and clusters integrate really well."
"Provides visibility into the performance uptime."
"The most valuable feature is the multi-cloud integration, where there is support for both GCP and AWS."
"We find the solution to be stable."
"I like the monitoring feature."
 

Cons

"There could be better documentation."
"When people try to move the data from another source to Elastic Stack for visualization, they face challenges when connecting to Elastic Stack from such different sources."
"It lacks a clear NDR (Network Detection and Response) feature. If Elastic could enhance this aspect, it would significantly boost its capabilities."
"Elastic Stack's search capabilities can be challenging, especially when searching for precise data from past years, such as two or ten years ago. Its indexing performance for exact data retrieval may decrease as the data volume grows. Therefore, I believe there is room for improvement in the product's search functionality. It needs to improve its pricing as well."
"Improvements are needed in the solution in areas like SOAR and TIP, where there are certain shortcomings."
"The main issue related to Elastic Stack is in the area of its licensing."
"The solution is expensive, particularly the training and certification. If customers want to increase their use of Elastic Stack, they should consider reducing the cost of certification and training."
"The implementation of dashboards in the solution needs to be made easier...I had some issues with the ports and configuration since it was kind of complex to implement with Docker."
"If I want to track any round-trip or breakdowns of my response times, I'm not able to get it. My request goes through various levels of the Google Cloud Platform (GCP) and comes back to my client machine. Suppose that my request has taken 10 seconds overall, so if I want to break it down, to see where the delay is happening within my architecture, I am not able to find that out using Stackdriver."
"The product provides minimal metrics that are insufficient."
"The process of logging analytics can be improved"
"It could be even more automated."
"It could be more stable."
"While we are satisfied with the overall performance, in certain cases we must add additional metrics and additional tools like Grafana and Dynatrace."
"The logging functionality could be better."
"It is difficult to estimate in advance how much something is going to cost."
 

Pricing and Cost Advice

"I rate the solution's pricing a six out of ten."
"We are using the open-source community version of the product."
"Ultimately, the pricing depends upon the capacity planning that the enterprise architect does."
"I used the open-source version of Elastic Stack, because of which I did not have to pay anything."
"The pricing is reasonable."
"The product is expensive."
"It depends on the specifics, but generally, Elastic is economical for certain use cases."
"If I compare Elastic Stack to the other products in the market, I would say that the tool is available at a competitive price."
"We have a basic standard license without any additional costs."
"The cost of using Stackdriver depends on usage."
"The cost could be lower."
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
12%
Government
9%
University
8%
Financial Services Firm
19%
Computer Software Company
16%
Manufacturing Company
8%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Elastic Stack?
The tool is huge, and it performs brilliantly. I tested it for malware, and within two weeks of launching, the product alerted me about a network intrusion. This was a tough test for it, but it per...
What is your experience regarding pricing and costs for Elastic Stack?
I rate the product’s pricing as five out of ten, where one is cheap, and ten is expensive.
What needs improvement with Elastic Stack?
There could be better documentation. They should improve to capture more data because we have to migrate to another vendor called Wazuh, which provides a full-fledged capability compared to Elastic.
What needs improvement with Google Stackdriver?
If the errors are caught early in the interface, it would be easier for users to manage. The process of logging analytics can be improved.
 

Also Known As

No data available
Google Stackdriver, Stackdriver Monitoring, Stackdriver Logging, Google Cloud Monitoring
 

Learn More

 

Overview

 

Sample Customers

Information Not Available
Uber, Batterii, Q42, Dovetail Games
Find out what your peers are saying about Elastic Stack vs. Google Cloud's operations suite (formerly Stackdriver) and other solutions. Updated: October 2024.
814,763 professionals have used our research since 2012.