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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
67
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (2nd)
JumpMind SymmetricDS
Average Rating
9.0
Reviews Sentiment
8.3
Number of Reviews
2
Ranking in other categories
Data Replication (13th)
 

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.
it_user186621 - PeerSpot reviewer
Excellent change data capture utility for distributed multi site environment
Customer Service: We have a support contract with Jumpmind. The support resources are readily available and provide expert support to any questions. Technical Support: Jumpmind created and open sourced this solution. All the key players are still actively involved with the technology and provide answers to all our open questions. The consistency we receive from their support is second to none.

Quotes from Members

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

Pros

"The UI is very nice, and performance wise it's quite good too."
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database."
"The solution has great scalability."
"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."
"Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."
"Using real-time search functionality to support operational decisions has been helpful."
"The solution is very good with no issues or glitches."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"It is fully featured. It has allowed me to do everything I wanted to do."
 

Cons

"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"The documentation regarding customization could be better."
"The solution's integration and configuration are not easy. Not many people know exactly what to do."
"Technical support should be faster."
"There should be more stability."
"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."
"Elasticsearch could be improved in terms of scalability."
"Enterprise scaling of what have been essentially separate, free open source software (FOSS) products has been a challenge, but the folks at Elastic have published new add-ons (X-Pack and ECE) to help large companies grow ELK to required scales."
"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 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."
"It can be expensive."
"we are using a licensed version of the product."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"The premium license 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."
"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."
"The solution is less expensive than Stackdriver and Grafana."
Information not available
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
Computer Software Company
21%
Financial Services Firm
12%
Retailer
9%
Manufacturing Company
6%
 

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?
I don't know about pricing. That is dealt with by the sales team and our account team. I was not involved with that.
What needs improvement with ELK Elasticsearch?
I found an issue with Elasticsearch in terms of aggregation. They are good, yet the rules written for this are not really good. There is a maximum of 10,000 entries, so the limitation means that if...
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: April 2025.
847,862 professionals have used our research since 2012.