We performed a comparison between Confluent and Elastic Search based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The monitoring module is impressive."
"One of the best features of Confluent is that it's very easy to search and have a live status with Jira."
"The design of the product is extremely well built and it is highly configurable."
"The most valuable feature that we are using is the data replication between the data centers allowing us to configure a disaster recovery or software. However, is it's not mandatory to use and because most of the features that we use are from Apache Kafka, such as end-to-end encryption. Internally, we can develop our own kind of product or service from Apache Kafka."
"The documentation process is fast with the tool."
"I find Confluent's Kafka Connectors and Kafka Streams invaluable for my use cases because they simplify real-time data processing and ETL tasks by providing reliable, pre-packaged connectors and tools."
"We mostly use the solution's message queues and event-driven architecture."
"A person with a good IT background and HTML will not have any trouble with Confluent."
"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."
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The solution is quite scalable and this is one of its advantages."
"We can easily collect all the data and view historical trends using the product. We can view the applications and identify the issues effectively."
"Implementing the main requirements regarding my support portal."
"The most valuable feature for us is the analytics that we can configure and view using Kibana."
"A good use case is saving metadata of your systems for data cataloging. Various systems, like those opened in metadata and similar applications, use Elasticsearch to store their text data."
"The most valuable feature of Elastic Enterprise Search is user behavior analysis."
"Confluent's price needs improvement."
"The Schema Registry service could be improved. I would like a bigger knowledge base of other use cases and more technical forums. It would be good to have more flexible monitoring features added to the next release as well."
"It could have more themes. They should also have more reporting-oriented plugins as well. It would be great to have free custom reports that can be dispatched directly from Jira."
"It could have more integration with different platforms."
"There is no local support team in Saudi Arabia."
"Currently, in the early stages, I see a gap on the security side. If you are using the SaaS version, we would like to get a fuller, more secure solution that can be adopted right out of the box. Confluence could do a better job sharing best practices or a reusable pattern that others have used, especially for companies that can not afford to hire professional services from Confluent."
"there is room for improvement in the visualization."
"Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"The solution must provide AI integrations."
"Performance improvement could come from skipping background refresh on search idle shards (which is already being addressed in the upcoming seventh version)."
"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."
"Something that could be improved is better integrations with Cortex and QRadar, for example."
"Machine learning on search needs improvement."
"The metadata gets stored along with indexes and isn't queryable."
"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."
Confluent is ranked 3rd in Streaming Analytics with 19 reviews while Elastic Search is ranked 9th in Cloud Data Integration with 59 reviews. Confluent is rated 8.4, while Elastic Search is rated 8.2. The top reviewer of Confluent writes "Has good technical support services and a valuable feature for real-time data streaming ". On the other hand, the top reviewer of Elastic Search writes "Played a crucial role in enhancing our cybersecurity efforts ". Confluent is most compared with Amazon MSK, Amazon Kinesis, Databricks, AWS Glue and Oracle GoldenGate, whereas Elastic Search is most compared with Faiss, Milvus, Azure Search, Pinecone and Amazon Kendra. See our Confluent vs. Elastic Search report.
See our list of best Cloud Data Integration vendors.
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