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Elastic Search vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 5, 2025

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
3.8
Elastic Search users experience improved efficiency, faster response times, and cost savings, highlighting notable speed and performance benefits.
Sentiment score
7.5
SingleStore offers cost efficiency, versatility, and scalability, providing seamless setup and substantial ROI with minimal hassle and complexity.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Software Engineer at Government of India
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
SOC A2 at Innodata-ISOGEN
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
Senior Devops Engineer at Ubique Digital LTD
The objective was to scale as data loads with high-performing query model responses.
Senior Software Engineer at Honeywell
I have seen a return on investment in terms of time saved.
Devops Engineer at a tech vendor with 51-200 employees
 

Customer Service

Sentiment score
6.3
Elastic Search support is praised for expertise and responsiveness, though response times and handling custom issues receive mixed feedback.
Sentiment score
7.8
SingleStore offers 24/7 support with a dedicated team, interactive UI, and personalized service, receiving high user satisfaction.
For P1 tickets, they provide very immediate quick responses and join calls to support and troubleshoot the issue accordingly.
Elastic Engineer at The Unique Identification Authority of India (UIDAI)
The customer support for Elastic Search is one of the best I have ever tried.
Software Developer at a media company with 10,001+ employees
They have always been really responsible and responsive to my requests.
Security Lead at a tech vendor with 501-1,000 employees
The customer support is very proactive and responsive twenty-four hours per day, seven days per week.
Senior Software Engineer at Honeywell
Their team is capable of resolving issues efficiently, allowing users to create tickets and receive support.
Devops Engineer at a tech vendor with 51-200 employees
 

Scalability Issues

Sentiment score
7.2
Elastic Search excels in scalability with cloud solutions, but faces challenges with large databases and cost management.
Sentiment score
7.3
SingleStore scales efficiently with minimal downtime, offering seamless integration and optimal performance, ideal for organizations without budget constraints.
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
Performance tests involving one million requests at once, we encountered issues with shards and nodes not upscaling as needed, leading to crashes and minimal data loss.
Consultant at a tech vendor with 10,001+ employees
I would rate its scalability a ten.
Backend Developer
SingleStore's scalability is high and it can be used by any size of organization and can handle any needs of any organization.
Senior Software Engineer at Honeywell
 

Stability Issues

Sentiment score
7.7
Elastic Search is stable and reliable, with occasional slowdowns, requiring proper deployment and infrastructure for optimal performance.
Sentiment score
8.3
SingleStore is highly rated for stability, ensuring continuous operation despite errors, with strong redundancy and maintenance capabilities.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
SOC A2 at Innodata-ISOGEN
The stability of Elasticsearch was very high.
Backend Developer
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
Chief Information Security Officer at CDSL Ventures Limited
I have not seen any downtime.
Senior Software Engineer at Honeywell
 

Room For Improvement

Users face challenges with Elastic Search's scalability, performance, support, complexity, and costs, and desire more AI integration.
SingleStore faces challenges in documentation, SQL features, integration, and support, with room for improvement in various areas.
From a technical point of view, there are no significant issues recalled as Elastic Search has been absolutely awesome for this use case and covers 100% of the needs.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
If I need to parse one million records saved into Elastic Search, it becomes a nightmare because I need to do the pagination, and it is very problematic in that regard.
Lead Engineer at Spidersilk
Observability features like search latency, indexing rate, and maybe rejected requests should be added to make the platform more reliable and accessible for everyone.
Senior System Engineer at EPAM Systems
Error handling needs attention. When it fails due to memory, it only indicates that but not exactly in which process it failed.
Senior Software Engineer at Honeywell
The data which is sent to DataDog sometimes does not match with the SingleStore dashboard.
Devops Engineer at a tech vendor with 51-200 employees
 

Setup Cost

Elastic Search provides affordable open-source options, but enterprise editions can be costly, with expenses increasing as usage grows.
SingleStore offers transparent pricing, with cost-effective enterprise licenses and free licensing for small self-managed installations.
On the AWS side, it is very expensive because they charge based on query basis or how much data is transferred in and out, making it very expensive.
Lead Engineer at Spidersilk
Having the hosted solution and not having to pay for essentially a DevOps person on staff to manage makes it affordable.
CTO at a tech services company with 1-10 employees
You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
Senior Software Engineer at Agoda
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups.
Senior Software Engineer at Honeywell
 

Valuable Features

Elasticsearch excels in speed, scalability, cost-efficiency, and integration, supporting efficient large data handling and diverse business queries.
SingleStore excels in speed, distributed architecture, and usability, offering fast data handling, MySQL support, and robust failover.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Software Engineer at Government of India
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Backend Developer
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
Director, Software Engineering at a tech vendor with 10,001+ employees
SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone.
Senior Software Engineer at Honeywell
The best features SingleStore offers in my experience are the excellent team support and the very good UI.
Devops Engineer at a tech vendor with 51-200 employees
 

Categories and Ranking

Elastic Search
Ranking in Vector Databases
2nd
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
96
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Search as a Service (1st)
SingleStore
Ranking in Vector Databases
16th
Average Rating
8.6
Reviews Sentiment
7.2
Number of Reviews
8
Ranking in other categories
Database as a Service (DBaaS) (12th)
 

Mindshare comparison

As of May 2026, in the Vector Databases category, the mindshare of Elastic Search is 4.5%, down from 5.4% compared to the previous year. The mindshare of SingleStore is 3.0%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Mindshare Distribution
ProductMindshare (%)
Elastic Search4.5%
SingleStore3.0%
Other92.5%
Vector Databases
 

Featured Reviews

reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.
Kelvin  Ben - PeerSpot reviewer
Senior Software Engineer at Honeywell
Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data
The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
6%
Financial Services Firm
29%
Computer Software Company
8%
Comms Service Provider
8%
Outsourcing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business39
Midsize Enterprise12
Large Enterprise47
By reviewers
Company SizeCount
Small Business5
Large Enterprise4
 

Questions from the Community

What is your experience regarding pricing and costs for ELK Elasticsearch?
When it comes to pricing, I think we had to pay AWS approximately 1,000 to 1,200 per month for the overall stack. I am not quite certain about how much Elastic Search costs specifically because I w...
What needs improvement with ELK Elasticsearch?
Elastic Search has many features, including Kibana and Logstash, which we regularly use. However, one downside in our product is cost, as it can be expensive when maintaining multiple shards and in...
What is your primary use case for ELK Elasticsearch?
As a developer, I use Elastic Search in developing one of my applications, basically integrating the back-end with Elastic Search. Our main use case for Elastic Search is for Logstash, which is a s...
What is your experience regarding pricing and costs for SingleStore DB?
My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups, but for my organization, the cost is affordable and cost-effective.
What needs improvement with SingleStore DB?
I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good. The data which is sent to DataDog sometimes does not match with the SingleStore dash...
What is your primary use case for SingleStore DB?
My main use case for SingleStore is for our data retention and load management. We have infrastructure wherein the user's data are used for quick search, which means the searching functionality in ...
 

Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

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.
400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.
Find out what your peers are saying about Elastic Search vs. SingleStore and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.