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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:
 

Categories and Ranking

Elastic Search
Ranking in Vector Databases
2nd
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
88
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (5th), Search as a Service (1st)
SingleStore
Ranking in Vector Databases
17th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (17th)
 

Mindshare comparison

As of February 2026, in the Vector Databases category, the mindshare of Elastic Search is 3.9%, down from 6.4% compared to the previous year. The mindshare of SingleStore is 2.4%, up from 1.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Elastic Search3.9%
SingleStore2.4%
Other93.7%
Vector Databases
 

Featured Reviews

Vaibhav Shukla - PeerSpot reviewer
Senior Software Engineer at Agoda
Search performance has transformed large-scale intent discovery and hybrid query handling
While Elastic Search is a good product, I see areas for improvement, particularly regarding the misconception that any amount of data can simply be dumped into Elastic Search. When creating an index, careful consideration of data massaging is essential. Elastic Search stores mappings for various data types, which must remain below a certain threshold to maintain functionality. Users need to throttle the number of fields for searching to avoid overloading the system and ensure that the design of the document is efficient for the Elastic Search index. Additionally, I suggest utilizing ILM periodically throughout the year to manage data shuffling between clusters, preventing hotspots in the distribution of requests across nodes.
VK
Solution Architect at Wipro Limited
An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance
Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

Quotes from Members

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

Pros

"I really like the visualization that you can do within it. That's really handy. Product-wise, it is a very good and stable product."
"The solution is very good with no issues or glitches."
"Overall, considering key aspects like cost, learning curve, and data indexing architecture, Elasticsearch is a very good tool."
"The observability is the best available because it provides granular insights that identify reasons for defects."
"On the subject of pricing, Elastic Search is very cost-efficient, as you can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal."
"All the quality features are there. There are about 60 to 70 reports available."
"The most valuable features are the detection and correlation features."
"Decision-making has become much faster due to real-time data and quick responses."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"The paramount advantage is the exceptional speed."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
 

Cons

"The most significant issue I find with Elastic Search is that it gets out of sync, and this has happened in both cases where I have implemented it."
"The price could be better. Kibana has some limitations in terms of the tablet to view event logs. I also have a high volume of data. On the initialization part, if you chose Kibana, you'll have some limitations. Kibana was primarily proposed as a log data reviewer to build applications to the viewer log data using Kibana. Then it became a virtualization tool, but it still has limitations from a developer's point of view."
"The upgrade experience and inflexibility with fields keeps Elastic Search from being a perfect 10."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"The metadata gets stored along with indexes and isn't queryable."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"Elastic Search should provide better guides for developers."
"The one area that can use improvement is the automapping of fields."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."
"We don't get good discounts in Pakistan."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
 

Pricing and Cost Advice

"We are using the free open-sourced version of this solution."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"The solution is not expensive because users have the option of choosing the managed or the subscription model."
"It can be expensive."
"The tool is an open-source product."
"The solution is less expensive than Stackdriver and Grafana."
"We are using the open-sourced version."
"We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
"I would advise users to try the free 128GB version."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"SingleStore is a bit expensive."
"The product's licensing is not expensive. It is comparable."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
12%
Manufacturing Company
9%
Retailer
6%
Financial Services Firm
30%
Computer Software Company
10%
Comms Service Provider
8%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business37
Midsize Enterprise10
Large Enterprise43
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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?
On the subject of pricing, Elastic Search is very cost-efficient. You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
What needs improvement with ELK Elasticsearch?
While Elastic Search is a good product, I see areas for improvement, particularly regarding the misconception that any amount of data can simply be dumped into Elastic Search. When creating an inde...
Ask a question
Earn 20 points
 

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: December 2025.
881,707 professionals have used our research since 2012.