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Elastic Search vs JumpMind SymmetricDS 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
6.7
Number of Reviews
72
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (10th), Search as a Service (1st), Vector Databases (3rd)
JumpMind SymmetricDS
Average Rating
9.0
Reviews Sentiment
8.3
Number of Reviews
2
Ranking in other categories
Data Replication (15th)
 

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.
reviewer1625691 - PeerSpot reviewer
Fully-featured, good performance, and easy to use and install
We are using it to back up the software across the network to a remote server It is fully featured. It has allowed me to do everything I wanted to do. It is also very easy to use and install. It is pretty self-explanatory, and their support was also very good. Everything is fine. The user…

Quotes from Members

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

Pros

"It provides deep visibility into your cloud and distributed applications, from microservices to serverless architectures. It quickly identifies and resolves the root causes of issues, like gaining visibility into all the cloud-based and on-prem applications."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"It gives us the possibility to store and query this data and also do this efficiently and securely and without delays."
"The most valuable feature is the out of the box Kibana."
"The most valuable feature of Elasticsearch is its convenience in handling unstructured data."
"The products comes with REST APIs."
"It is easy to scale with the cluster node model.​"
"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 analytics with Elastic benefits us due to the huge traffic volume in our organization, which reaches up to 60,000 requests per second. With logs of approximately 25 GB per day, manually analyzing traffic behavior, payloads, headers, user agents, and other details is impractical."
"It is fully featured. It has allowed me to do everything I wanted to do."
 

Cons

"There should be more stability."
"I would rate technical support from Elastic Search as three out of ten. The main issue is a general sum of all factors."
"The different applications need to be individually deployed."
"The pricing of this product needs to be more clear because I cannot understand it when I review the website."
"There are potential improvements based on our client feedback, like unifying the licensing cost structure."
"Elasticsearch could be improved in terms of scalability."
"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​)."
"The UI point of view is not very powerful because it is dependent on Kibana."
"The user interface could improve. We are looking at some cloud-based databases, and I don't think they support that."
 

Pricing and Cost Advice

"The solution is less expensive than Stackdriver and Grafana."
"We are paying $1,500 a month to use the solution. If you want to have endpoint protection you need to pay more."
"We are using the open-sourced version."
"The cost varies based on factors like usage volume, network load, data storage size, and service utilization. If your usage isn't too extensive, the cost will be lower."
"We use the free version for some logs, but not extensive use."
"Although the ELK Elasticsearch software is open-source, we buy the hardware."
"This product is open-source and can be used free of charge."
"There is a free version, and there is also a hosted version for which you have to pay. We're currently using the free version. If things go well, we might go for the paid version."
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Top Industries

By visitors reading reviews
Computer Software Company
15%
Financial Services Firm
13%
Government
9%
Manufacturing Company
8%
Computer Software Company
19%
Manufacturing Company
9%
Financial Services Firm
9%
Healthcare Company
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...
Does JumpMind SymmetricDS support a large array of databases?
Yes, it does. This data replication software works with many popular databases, allowing users to benefit from its services. What's more, it also works with many data warehouses, as well as streami...
Is JumpMind SymmetricDS easy to use for beginners?
I didn't start with JumpMind SymmetricDS, I actually started using it at a job when I was a little more introduced to data replication. That made me able to see the good features this software has....
Does JumpMind SymmetricDS provide frequent file synchronization?
How often do you need for your data to be synchronized? I'm asking this because different companies use data replication for different purposes. Some use it as simply updating backup, others to giv...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
SymmetricDS
 

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.
SmartMD, Cancer Research UK
Find out what your peers are saying about Elastic Search vs. JumpMind SymmetricDS and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.