Confluent vs Elastic Search comparison

Cancel
You must select at least 2 products to compare!
Confluent Logo
10,171 views|7,826 comparisons
100% willing to recommend
Elastic Logo
190 views|61 comparisons
98% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Confluent vs. Elastic Search Report (Updated: March 2024).
768,857 professionals have used our research since 2012.
Featured Review
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 is its capability to enhance the documentation process, particularly when creating software documentation.""It is also good for knowledge base management.""The solution can handle a high volume of data because it works and scales well.""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.""With Confluent Cloud we no longer need to handle the infrastructure and the plumbing, which is a concern for Confluent. The other advantage is that all portfolios have access to the data that is being shared.""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.""Confluence's greatest asset is its user-friendly interface, coupled with its remarkable ability to seamlessly integrate with a vast range of other solutions."

More Confluent Pros →

"The forced merge and forced resonate features reduce the data size increasing reliability.""The initial setup is very easy for small environments.""The products comes with REST APIs.""The special text processing features in this solution are very important for me.""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.""The solution is valuable for log analytics.""It is stable.""Helps us to store the data in key value pairs and, based on that, we can produce visualisations in Kibana."

More Elastic Search Pros →

Cons
"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.""The formatting aspect within the page can be improved and more powerful.""It could have more integration with different platforms.""The product should integrate tools for incorporating diagrams like Lucidchart. It also needs to improve its formatting features. We also faced issues while granting permissions.""Confluent has a good monitoring tool, but it's not customizable.""The pricing model should include the ability to pick features and be charged for them only.""there is room for improvement in the visualization.""They should remove Zookeeper because of security issues."

More Confluent Cons →

"We'd like to see more integration in the future, especially around service desks or other ITSM tools.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement.""There are challenges with performance management and scalability.""It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there.""Improving machine learning capabilities would be beneficial.""This product could be improved with additional security, and the addition of support for machine learning devices.""Could have more open source tools and testing.""Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."

More Elastic Search Cons →

Pricing and Cost Advice
  • "Confluent is expensive, I would prefer, Apache Kafka over Confluent because of the high cost of maintenance."
  • "You have to pay additional for one or two features."
  • "The pricing model of Confluent could improve because if you have a classic use case where you're going to use all the features there is no plan to reduce the features. You should be able to pick and choose basic services at a reduced price. The pricing was high for our needs. We should not have to pay for features we do not use."
  • "On a scale from one to ten, where one is low pricing and ten is high pricing, I would rate Confluent's pricing at five. I have not encountered any additional costs."
  • "Confluence's pricing is quite reasonable, with a cost of around $10 per user that decreases as the number of users increases. Additionally, it's worth noting that for teams of up to 10 users, the solution is completely free."
  • "Confluent has a yearly license, which is a bit high because it's on a per-user basis."
  • "It comes with a high cost."
  • "Confluent is highly priced."
  • More Confluent Pricing and Cost Advice →

  • "ELK has been considered as an alternative to Splunk to reduce licensing costs."
  • "An X-Pack license is more affordable than Splunk."
  • "​The pricing and license model are clear: node-based model."
  • "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."
  • "We are using the free version and intend to upgrade."
  • "It can be expensive."
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • More Elastic Search Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
    768,857 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer:I would rate the pricing of Confluent as average, around a five out of ten. Additional costs could include features like multi-tenancy support and native encryption with custom algorithms, which would… more »
    Top Answer:Areas for improvement include implementing multi-storage support to differentiate between database stores based on data age and optimizing storage costs, as well as enhancing the offset management… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    3rd
    out of 38 in Streaming Analytics
    Views
    10,171
    Comparisons
    7,826
    Reviews
    11
    Average Words per Review
    413
    Rating
    8.5
    9th
    Views
    190
    Comparisons
    61
    Reviews
    27
    Average Words per Review
    501
    Rating
    8.3
    Comparisons
    Amazon MSK logo
    Compared 20% of the time.
    Amazon Kinesis logo
    Compared 11% of the time.
    Databricks logo
    Compared 6% of the time.
    AWS Glue logo
    Compared 6% of the time.
    Oracle GoldenGate logo
    Compared 4% of the time.
    Faiss logo
    Compared 14% of the time.
    Milvus logo
    Compared 13% of the time.
    Azure Search logo
    Compared 7% of the time.
    Pinecone logo
    Compared 6% of the time.
    Amazon Kendra logo
    Compared 6% of the time.
    Also Known As
    Elastic Enterprise Search, Swiftype, Elastic Cloud
    Learn More
    Overview

    Confluent is an enterprise-ready, full-scale streaming platform that enhances Apache Kafka. 

    Confluent has integrated cutting-edge features that are designed to enhance these tasks: 

    • Speed up application development and connectivity
    • Enable transformations through stream processing
    • Streamline business operations at scale
    • Adhere to strict architectural standards

    Confluent is a more complete distribution of Kafka in that it enhances the integration possibilities of Kafka by introducing tools for managing and optimizing Kafka clusters while providing methods for making sure the streams are secure. Confluent supports publish-and-subscribe as well as the storing and processing of data within the streams. Kafka is easier to operate and build thanks to Confluent.

    Confluent's software is available in three different varieties: 

    1. A free, open-source streaming platform that makes it simple to start using real-time data streams
    2. An enterprise-grade version of the product with more administrative, ops, and monitoring tools
    3. A premium cloud-based version.

    Confluent Advantage Features

    Confluent has many valuable key features. Some of the most useful ones include:

    • Multi-language

      • Clients: C++, Python, Go, and .NET
      • REST proxy: Can connect to Kafka from any connected network device
      • Admin REST APIs: RESTful interface for performing administrator operations
    • Pre-built ecosystem

      • Connectors: More than 100 supported connectors, including S3, Elastic, HDFS, JDBC
      • MQTT proxy: Gain access to Kafka from MQTT gateways and devices
      • Schema registry: Centralized database to guarantee data compatibility
    • Streaming database

      • ksqlDB: Materialized views and real-time stream processing
    • GUI management 

      • Control panel: GUI for scalable Kafka management and monitoring
      • Health+: Smart alerts and cloud-based control centers
    • DevOps automation that is flexible

      • Confluent for Kubernetes: Complete API to deploy on Kubernetes
      • Automated Ansible deployment on non-containerized environments
    • Dynamic performance 

      • Self-balancing clusters: Automated partition re-balancing across brokers in the cluster
      • Tiered storage: Older Kafka data offloading to object storage with transparent access
    • Security that is enterprise-grade 

      • Role-based access control: Granular user/group access authorization
      • Audit logs that are structured: Logs of user actions kept in dedicated Kafka topics
      • Secret protection: Sensitive information is encrypted
    • Global resilience

      • Linking clusters: A real-time, highly reliable, and consistent bridge across on-premises and cloud environments
      • Multiple-region clusters: Single Kafka cluster with automated client failover distributed across multiple data centers
      • Replicator: Asynchronous replication that is based on the Kafka Connect framework
    • Support

      • Round the clock enterprise support from Kafka experts

    Reviews from Real Users

    Confluent stands out among its competitors for a number of reasons. Two major ones are its robust enterprise support and its open source option. PeerSpot users take note of the advantages of these features in their reviews: 

    Ravi B., a solutions architect at a tech services company, writes of the solution, “KSQL is a valuable feature, as is the Kafka Connect framework for connecting to the various source systems where you need not write the code. We get great support from Confluent because we're using the enterprise version and whenever there's a problem, they support us with fine-tuning and finding the root cause.”

    Amit S., an IT consultant, notes, “The biggest benefit is that it is open source. You have the flexibility of opting or not opting for enterprise support, even though the tool itself is open source.” He adds, “The second benefit is it's very modern and built on Java and Scala. You can extend the features very well, and it doesn't take a lot of effort to do so.”

    Elasticsearch is a prominent open-source search and analytics engine known for its scalability, reliability, and straightforward management. It's a favored choice among enterprises for real-time data search, analysis, and visualization. Open-source Elasticsearch is free, offering a comprehensive feature set and scalability. It allows full control over deployments but requires managing and maintaining the infrastructure. On the other hand, Elastic Cloud provides a managed service with features like automated provisioning, high availability, security, and global reach.

    Elasticsearch excels in handling time-sensitive data and complex search requirements across large datasets. Its scalability allows it to handle growing data volumes efficiently, maintaining high performance and fast response times. Integrated with Kibana, Elasticsearch enables powerful data visualization, providing real-time insights crucial for data-driven decision-making.

    Elastic Cloud reduces operational overhead and improves scalability and performance, though it comes with associated costs. It is available on your preferred cloud provider — AWS, Azure, or Google Cloud. Customers who want to manage the software themselves, whether on public, private, or hybrid cloud, can download the Elastic Stack.

    At its core, Elasticsearch is renowned for its full-text search capabilities, capable of performing complex queries and supporting features like fuzzy matching and auto-complete.

    Peer reviews from various professionals highlight its strengths and weaknesses. Pros include its detection and correlation features, flexibility, cloud-readiness, extensibility, and efficient search capabilities. However, users have noted challenges like steep learning curves, data analysis limitations, and integration complexities. The platform is generally viewed as stable and scalable, with varying degrees of satisfaction regarding its usability and feature set.

    In summary, Elasticsearch stands out for its high-speed search, scalability, and versatile analytics, making it a go-to solution for organizations managing large datasets. Its adaptability to different enterprise needs, robust community support, and continuous development keep it at the forefront of enterprise search and analytics solutions. However, potential users should be aware of its learning curve and the need for skilled personnel for optimization.

    Sample Customers
    ING, Priceline.com, Nordea, Target, RBC, Tivo, Capital One, Chartboost
    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.
    Top Industries
    REVIEWERS
    Computer Software Company31%
    Retailer15%
    Non Tech Company8%
    Government8%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company17%
    Manufacturing Company8%
    Retailer6%
    REVIEWERS
    Financial Services Firm33%
    Computer Software Company27%
    Manufacturing Company10%
    Insurance Company7%
    VISITORS READING REVIEWS
    Computer Software Company18%
    Financial Services Firm15%
    Government7%
    Manufacturing Company7%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise21%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    REVIEWERS
    Small Business41%
    Midsize Enterprise11%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise63%
    Buyer's Guide
    Confluent vs. Elastic Search
    March 2024
    Find out what your peers are saying about Confluent vs. Elastic Search and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    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.

    We monitor all Cloud Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.