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Elastic Search vs SAS Access comparison

 

Comparison Buyer's Guide

Executive Summary

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 Search
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (3rd)
SAS Access
Average Rating
9.0
Reviews Sentiment
7.5
Number of Reviews
3
Ranking in other categories
Data Integration (55th)
 

Featured Reviews

Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.
Robert Heck - PeerSpot reviewer
The solution is stable, scalable, and flexible
I rate the solution eight out of ten. The number of people required to maintain the solution is dependent on the other applications running. The solution in itself does not require a lot of maintenance. The solution is flexible and I recommend it when you have more complex applications with special requirements.

Quotes from Members

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

Pros

"Overall, considering key aspects like cost, learning curve, and data indexing architecture, Elasticsearch is a very good tool."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"It is easy to scale with the cluster node model.​"
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"A nonstructured database that can manage large amounts of nonstructured data."
"The solution is quite scalable and this is one of its advantages."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"Using real-time search functionality to support operational decisions has been helpful."
"The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."
"The most valuable feature is you have native access to the external databases."
"The most valuable aspect of the solution is the ease of access to the data in those databases."
 

Cons

"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"An improvement would be to have an interface that allows easier navigation and tracing of logs."
"The reports could improve."
"It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx​)."
"Elastic Search could benefit from a more user-friendly onboarding process for beginners."
"The real-time search functionality is not operational due to its impact on system resources."
"Machine learning on search needs improvement."
"I would rate technical support from Elastic Search as three out of ten. The main issue is a general sum of all factors."
"The solution can provide access to the newer databases that come out sooner."
"The pricing model needs to be reconsidered and adjusted."
"I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."
 

Pricing and Cost Advice

"We are using the free version and intend to upgrade."
"The pricing structure depends on the scalability steps."
"The solution is less expensive than Stackdriver and Grafana."
"The price of Elasticsearch is fair. It is a more expensive solution, like QRadar. The price for Elasticsearch is not much more than other solutions we have."
"It can be expensive."
"The tool is not expensive. Its licensing costs are yearly."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"The solution's pricing and licensing are expensive."
"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
9%
Government
9%
Financial Services Firm
27%
Insurance Company
9%
Manufacturing Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
Ask a question
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Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
SAS/Access
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Find out what your peers are saying about Elastic Search vs. SAS Access and other solutions. Updated: July 2025.
861,803 professionals have used our research since 2012.