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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
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (3rd)
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

"The most valuable feature of Elastic Enterprise Search is the Discovery option for the visualization of logs on a GPU instead of on the server."
"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."
"It is stable."
"The stability of Elasticsearch was very high, and I would rate it a ten."
"The initial setup is fairly simple."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"I like how it allows us to connect to Kafka and get this data in a document format very easily. Elasticsearch is very fast when you do text-based searches of documents. That area is very good, and the search is very good."
"It is fully featured. It has allowed me to do everything I wanted to do."
 

Cons

"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"There are challenges with performance management and scalability."
"I would rate technical support from Elastic Search as three out of ten. The main issue is a general sum of all factors."
"Kibana should be more friendly, especially when building dashboards."
"There is an index issue in which the data starts to crash as it increases."
"Technical support should be faster."
"There is another solution I'm testing which has a 500 record limit when you do a search on Elastic Enterprise Search. That's the only area in which I'm not sure whether it's a limitation on our end in terms of knowledge or a technical limitation from Elastic Enterprise Search. There is another solution we are looking at that rides on Elastic Enterprise Search. And the limit is for any sort of records that you're doing or data analysis you're trying to do, you can only extract 500 records at a time. I know the open-source nature has a lot of limitations, Otherwise, Elastic Enterprise Search is a fantastic solution and I'd recommend it to anyone."
"We have an issue with the volume of data that we can handle."
"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

"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."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"ELK has been considered as an alternative to Splunk to reduce licensing costs."
"To access all the features available you require both the open source license and the production license."
"The solution is less expensive than Stackdriver and Grafana."
"Elastic Search is open-source, but you need to pay for support, which is expensive."
"The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
"It can move from $10,000 US Dollars per year to any price based on how powerful you need the searches to be and the capacity in terms of storage and process."
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
15%
Government
9%
Manufacturing Company
9%
Computer Software Company
21%
Financial Services Firm
13%
Manufacturing Company
8%
Retailer
8%
 

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: June 2025.
859,438 professionals have used our research since 2012.