IBM App Connect and Elastic Search are leading products in the integration and data management category. Elastic Search appears to have the upper hand in scalability and analytics capabilities while IBM App Connect stands out for its integration capabilities within existing IBM infrastructures.
Features: IBM App Connect offers an array of pre-built connectors, robust integration capabilities, and strong security features. It excels in managing multiple communication technologies, making it ideal for complex integration environments. Elastic Search is known for its powerful log management and seamless scalability. It leverages tools like Kibana and Logstash for advanced analytics and visualization, offering flexibility in handling large data volumes. Its capability for text-based searches and data visualization are noteworthy.
Room for Improvement: IBM App Connect could improve in audit logging, simplifying setup processes, and expanding its connector options. Enhancements in debugging tools and faster support responses are needed. Elastic Search users have suggested improvements in machine learning features, configurations, and security in the open-source version. Kibana's dashboard functionality and technical support could also be better.
Ease of Deployment and Customer Service: Both products offer various deployment options, including on-premises and cloud environments. IBM App Connect is appreciated for smooth integration with IBM products, while Elastic Search is noted for compatibility and flexibility. IBM's customer service has varying feedback, with some noting slow responses. Elastic Search generally has positive feedback, though premium support can be costly.
Pricing and ROI: IBM App Connect is associated with high licensing costs but provides significant ROI within the IBM ecosystem. Elastic Search, as an open-source product, attracts cost-conscious users, although premium features and support add to its costs. Its pricing model is transparent, offering cost-effectiveness in large-scale implementations.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
The technical support from IBM is good.
I would rate its scalability a ten.
I can actually add more storage and memory because I host it in the cloud.
I would rate the scalability of Elasticsearch as an eight.
I would rate the scalability of IBM App Connect as nine out of ten.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems.
This can create problems for new developers because they have to quickly switch to another version.
I find it particularly good for on-premises and now cloud use.
We used the open-source version of Elasticsearch, which was free.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Configuring Elasticsearch is much easier compared to comprehending other SIEM tools like Splunk.
The features I find most valuable are message routing, message transformation, and protocol translation.
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.
Rapidly connect public clouds, private clouds and on-premises application
App Connect Professional is IBM’s cloud integration offering which delivers an integration solution
• With ease-of-use, flexibility and increased responsiveness to the evolving business needs, while removing the daunting complexities of integration.
• Provides the powerful combination of a ‘simple integration experience’ for business users looking to automate how their applications talk to each other; coupled with a ‘configuration based integration’ approach for IT.
• App Connect Professional is for the teams and integration developers who need to solve more complex problems and need powerful tooling for integration scenarios
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