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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
6.6
Number of Reviews
82
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (8th), Search as a Service (1st)
SingleStore
Ranking in Vector Databases
15th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Database as a Service (DBaaS) (11th)
 

Mindshare comparison

As of December 2025, in the Vector Databases category, the mindshare of Elastic Search is 4.0%, down from 6.6% compared to the previous year. The mindshare of SingleStore is 2.3%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases Market Share Distribution
ProductMarket Share (%)
Elastic Search4.0%
SingleStore2.3%
Other93.7%
Vector Databases
 

Featured Reviews

MichaelSmith9 - PeerSpot reviewer
CTO at a tech services company with 1-10 employees
Unified search has powered feature‑driven research with minimal maintenance overhead
We haven't had the opportunity to use the hybrid search with Elastic Search yet. I think there's a place for it in our long-term solution, but we're not quite there yet. We haven't yet used any AI features built into Elastic Search. To do what we want to do with Elastic Search, the queries can get complex and require a fuller understanding of the DSL. Once we start to build that understanding, it's another muscle we have, so it's not a bad thing, but it just takes a while to get up and running with expertise for our engineers. It's not hard to learn how to use more complex things in Elastic Search; it's just a challenge we're going to face.
reviewer2321985 - PeerSpot reviewer
Database Administrator at a tech services company with 1-10 employees
Supports in-memory data types, storing data on RAM for high performance
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. Also, technically, SingleStore needs more features on the SQL part. Most SQL boards work in MySQL, and SingleStore integrated all its sequel with MySQL, so nearly 99% of MySQL code runs on SingleStore. But features like TVF and UDL lack depth. Users have to walk into it, and SingleStore has minimal features there. IUDF, TVF, and stored procedures are not as advanced as SQL Server's. That's one thing I would like to see improved.

Quotes from Members

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

Pros

"The most valuable features are the ease and speed of the setup."
"I am impressed with the product's Logstash. The tool is fast and customizable. You can build beautiful dashboards with it. It is useful and reliable."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"The product is scalable with good performance."
"We had many reasons to implement Elasticsearch for search term solutions. Elasticsearch products provide enterprise landscape support for different areas of the company."
"The best feature of Elastic Search is it does exactly what it says."
"The ability to aggregate log and machine data into a searchable index reduces time to identify and isolate issues for an application. Saves time in triage and incident response by eliminating manual steps to access and parse logs on separate systems, within large infrastructure footprints."
"The solution is stable and reliable."
"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 product can automatically reinstall and reconfigure in case of a shutdown."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"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."
"The paramount advantage is the exceptional speed."
 

Cons

"Dashboards could be more flexible, and it would be nice to provide more drill-down capabilities."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"We'd like to see more integration in the future, especially around service desks or other ITSM tools."
"Elastic Enterprise Search could improve its SSL integration easier. We should not need to go to the back-end servers to do configuration, we should be able to do it on the GUI."
"The solution must provide AI integrations."
"There are challenges with performance management and scalability."
"I don't see improvements at the moment. The current setup is working well for me, and I'm satisfied with it. Integrating with different platforms is also fine, and I'm not recommending any changes or enhancements right now."
"Elastic Search should provide better guides for developers."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"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."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
"Having the ability to migrate servers using a single command would be extremely beneficial."
 

Pricing and Cost Advice

"The solution is not expensive because users have the option of choosing the managed or the subscription model."
"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."
"The premium license is expensive."
"The pricing structure depends on the scalability steps."
"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 is free."
"We are paying $1,500 a month to use the solution. If you want to have endpoint protection you need to pay more."
"This is a free, open source software (FOSS) tool, which means no cost on the front-end. There are no free lunches in this world though. Technical skill to implement and support are costly on the back-end with ELK, whether you train/hire internally or go for premium services from Elastic."
"I would advise users to try the free 128GB version."
"The product's licensing is not expensive. It is comparable."
"SingleStore is a bit expensive."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"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%
Government
7%
Financial Services Firm
31%
Computer Software Company
10%
Comms Service Provider
8%
Manufacturing Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise10
Large Enterprise41
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?
Elastic Search's pricing totally depends on the server. Managed services from AWS are used, and we have worked on a self-managed Elastic Search cluster. On the AWS side, it is very expensive becaus...
What needs improvement with ELK Elasticsearch?
Elastic Search has an annoying limitation regarding page size. It has a specific limit for queries on Elastic Search, and the default is ten thousand, and we can increase it. However, after increas...
What is your experience regarding pricing and costs for SingleStore DB?
Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure. While building an on-premise cluster incurs an initial cost for servers with ample RAM...
 

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.
879,310 professionals have used our research since 2012.