Elastic Search Other Solutions Considered
We've explored a few alternatives, but I believe Elasticsearch, particularly with Elastic and Elastic Cloud, stands out as the current industry standard. Opting for a widely used platform is advantageous due to the larger community it attracts. A substantial user base means more people to consult, numerous information sources, and a wealth of case studies. While there are smaller, medium, and even large alternatives, having around eighty percent of the community share provides a significant pool of expertise and resources to tap into.
View full review »We did look at other options five or six years ago. We chose Elastic for multiple reasons in the end.
View full review »TM
Thabiso Mofokeng
IBM MQ Specialist / Administrator at a financial services firm with 10,001+ employees
We chose Elastic Enterprise Search over other solutions because the interface was easy to use.
View full review »Buyer's Guide
Elastic Search
April 2024
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,886 professionals have used our research since 2012.
Loki seems to be an alternative with fewer capabilities.
View full review »RH
Randall Hinds
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Splunk, Sumo Logic, and IBM’s Operation Analytics.
View full review »TS
reviewer1998342
Senior Associate at a consultancy with 10,001+ employees
Our company has a relationship with Google so we explored Stackdriver. Its monitoring and logging capabilities are interesting but observability is not that good and it is a bit costly.
We slowly moved our logging dependencies from Stackdriver. Sometimes we used Splunk but we also used the solution and Grafana because our product is a bit dependent on Spring Boot.
We found that the solution is more powerful than Grafana with respect to observability and it is more cost effective.
View full review »KB
Kiran BM
Chief Data Scientist at Everlytics Data Science Pte Ltd
I have worked with all the flavours of Elasticsearch viz. Elastic.co's ELK which is popularly known as the ELK stack (pronounced as 'yelk'), AWS Elasticsearch and Open Distro plugins for Elasticsearch.
All (including Solr that comes with Hadoop) are built on a common underlying technology- Apache Lucene. The difference is the added features that I call 'batteries included'. To be precise, Elastic's ELK, unlike the others, comes with free enterprise-grade apps (called plugins in Kibana), a bunch of cool and useful Kibana features, and a good deal of engineering automation built into the stack.
Moreover, the original founders of Elasticsearch are the folks at Elastic.co, the company that's built on open-core philosophy. But AWS took the initial lead and offered the stack as AWS Elasticsearch service catering mostly to search-engine use cases. But ELK, with all its goodness, is much more than a search engine! In fact, the keyword search in Elasticsearch is very misleading.
View full review »ME
Murat ERAYDIN
Owner and CEO at Karmasis
We evaluated other products and chose Elasticsearch because the data that we are collecting is unstructured. Every log has a different structure.
View full review »ED
Erik De Decker
Owner & director at Pulsar ICT
I have used different products myself due to the nature of my work. I'm a security consultant. I have been working with different customers who use different solutions, which means that I have used other things and can evaluate and compare them for clients.
I've worked with Splunk, for example. Splunk, for instance, on the level of data mining and inquiring, might be easier. It's a bit more intuitive. The downside of it is as soon as you start collecting a lot of data, it becomes extremely expensive to use Splunk. It's a very good product. However, typically, with the need to collect as many logs and as much data as possible, Splunk becomes expensive, and you can't put it in a budget easily. It's simply out of budget for many as soon as they start clicking. Also, the purpose of a security system is not the same.
With Splunk, some will not add additional logs because they don't often have the budget, especially when it immediately means that you're going to need to increase your costs enormously. That's not the purpose of a security system. For the system to be effective you must be able to have good surveillance and that means that you should not hesitate in adding your logs. Still, when the costs double, people hesitate and if they don't have the budget and cut the logs, things can get through. Fortunately, with ELK, you don't have that issue. With ELK you don't pay for gigabytes, or terabytes or the data that you use. That's the main advantage compared to Splunk. But Splunk, it has a less steep learning curve.
View full review »Yes, I evaluated GrayLog and Fluentd, but ELK was more feature rich.
View full review »DL
reviewer1629525
IT Secuirty Architect at a insurance company with 10,001+ employees
I would say that Elasticsearch is better than all the other solutions. QRadar is getting better, but it is still behind Elasticsearch in my opinion.
View full review »I think that Elasticsearch is a good product and cheaper than Splunk.
View full review »This is a difficult question because we had a specific reason for choosing Elasticsearch. Different solutions provide different benefits. We compare these and choose one solution over another.
Overall, it depends on the manufacturers. We compared Elasticsearch with other products like Riverbed, for example.
View full review »PP
Prabhanshu Pandit
Programmer at a tech services company
Graylog, Fluentd.
We evaluated HBase and Cassadnra.
View full review »Our tech team did the research and I don't know if there were other options considered.
View full review »We did not evaluate other options before choosing this solution, but due to issues with stability, I'm now trying out PostgreSQL for comparison.
View full review »HY
reviewer796698
Manager at a tech services company with 11-50 employees
Before choosing to go in this direction, we actually checked with some of the database options like the JSON option and Mango. The Elasticsearch product was referred to us by a friend at another company as a better solution for our particular need. They are using the system. After some tests and reviews of the products, we thought it would fit our needs, so we decided to go with it.
View full review »We evaluated Solr.
View full review »Buyer's Guide
Elastic Search
April 2024
Learn what your peers think about Elastic Search. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,886 professionals have used our research since 2012.