Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.
$16
per month
Splunk AppDynamics
Score 8.3 out of 10
N/A
AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.
Elasticsearch is a really scalable solution that can fit a lot of needs, but the bigger and/or those needs become, the more understanding & infrastructure you will need for your instance to be running correctly. Elasticsearch is not problem-free - you can get yourself in a lot of trouble if you are not following good practices and/or if are not managing the cluster correctly. Licensing is a big decision point here as Elasticsearch is a middleware component - be sure to read the licensing agreement of the version you want to try before you commit to it. Same goes for long-term support - be sure to keep yourself in the know for this aspect you may end up stuck with an unpatched version for years.
Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
As I mentioned before, Elasticsearch's flexible data model is unparalleled. You can nest fields as deeply as you want, have as many fields as you want, but whatever you want in those fields (as long as it stays the same type), and all of it will be searchable and you don't need to even declare a schema beforehand!
Elastic, the company behind Elasticsearch, is super strong financially and they have a great team of devs and product managers working on Elasticsearch. When I first started using ES 3 years ago, I was 90% impressed and knew it would be a good fit. 3 years later, I am 200% impressed and blown away by how far it has come and gotten even better. If there are features that are missing or you don't think it's fast enough right now, I bet it'll be suitable next year because the team behind it is so dang fast!
Elasticsearch is really, really stable. It takes a lot to bring down a cluster. It's self-balancing algorithms, leader-election system, self-healing properties are state of the art. We've never seen network failures or hard-drive corruption or CPU bugs bring down an ES cluster.
AppDynamics delves deeply into traceability and profiling at the code level. By identifying and refactoring any hidden performance hogs in our code, we can directly observe the performance improvements.
AppDynamics provides real-time dashboards and in-depth insights into each layer of the application stack, lifting the curtain on performance.
AppDynamics gives us the ability to proactively detect and resolve performance issues. We are able to keep things running smoothly for our users and stop outages.
We can monitor stability and performance prior to, during, and following releases with AppDynamics, which helps to minimize regression risks and facilitate smooth rollouts.
Improving the clarity and comprehensiveness of the documentation could benefit users. Clearer documentation ensures that users can make the most of all the functionalities
Leverages AI and machine learning for intelligent insights, aiding in issue identification and prediction.
Competitive, with AI-driven features becoming increasingly common in APM solutions.
On a scale of 1 to 10, I would rate our likelihood to renew Splunk AppDynamics as a 10. Our leadership is fully committed to the State of Indiana’s Application Performance Monitoring (APM) Program, which has become a national leader within the SLED (State, Local, and Education) vertical. AppDynamics plays a critical role in our ability to deliver reliable, high-performing digital services to citizens and stakeholders. Its capabilities align closely with our strategic goals around operational excellence, proactive incident management, and data-driven decision-making, making it an indispensable part of our technology ecosystem.
To get started with Elasticsearch, you don't have to get very involved in configuring what really is an incredibly complex system under the hood. You simply install the package, run the service, and you're immediately able to begin using it. You don't need to learn any sort of query language to add data to Elasticsearch or perform some basic searching. If you're used to any sort of RESTful API, getting started with Elasticsearch is a breeze. If you've never interacted with a RESTful API directly, the journey may be a little more bumpy. Overall, though, it's incredibly simple to use for what it's doing under the covers.
Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it
On a scale of 1 to 10, I would rate the availability of Splunk AppDynamics as a 9. Overall, the platform has proven to be highly reliable and is available when we need it. It consistently supports our monitoring and performance management needs across critical applications and infrastructure. There have been occasional issues with platform availability, such as intermittent application errors or brief unplanned outages. However, these instances have been infrequent and typically resolved quickly, minimizing any significant impact on operations. The stability and uptime of the platform have met our expectations, and we continue to rely on it as a core component of our APM strategy.
On a scale of 1 to 10, I would rate the performance of Splunk AppDynamics as a 6. While the platform generally delivers the expected functionality, we’ve experienced periodic slowness—particularly with page loads and report generation. These performance issues can be frustrating, especially when trying to quickly access critical data during incident response or analysis. One contributing factor may be our use of a shared controller environment with other enterprises, which can introduce resource contention and impact overall responsiveness. In some cases, this has led to delays in accessing dashboards or completing complex queries. Despite these challenges, the platform remains a valuable tool, and we’re exploring options to improve performance, including potential changes to our deployment model and support agreements.
We've only used it as an opensource tooling. We did not purchase any additional support to roll out the elasticsearch software. When rolling out the application on our platform we've used the documentation which was available online. During our test phases we did not experience any bugs or issues so we did not rely on support at all.
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
On a scale of 1 to 10, I would rate the online training for Splunk AppDynamics as a 7. The training was generally acceptable and covered the core concepts and functionality of the platform. However, there were some challenges with communication during sessions—particularly around clarity and instructor engagement—which occasionally made it difficult to fully grasp certain topics. Additionally, the training could benefit from being more focused and tailored to specific roles or use cases. A more structured approach with clearer learning paths and practical, hands-on examples would enhance the overall effectiveness and help users apply the knowledge more confidently in real-world scenarios.
On a scale of 1 to 10, I would rate our satisfaction with the implementation of Splunk AppDynamics as a 9. The deployment process was smooth and well-coordinated, thanks to the collaborative efforts between Cisco Professional Services, our internal business stakeholders, and agency technical teams. Key Insights from the Implementation: Cross-functional Collaboration Was Critical: Engaging both technical and business teams early in the process ensured that the platform was configured to meet a wide range of operational and strategic needs. Value of Expert Guidance: Cisco’s Professional Services provided invaluable expertise, helping us navigate complex configurations and tailor the solution to our environment. Their involvement accelerated deployment and ensured best practices were followed. Importance of Planning and Communication: A well-defined implementation roadmap and regular communication across teams helped us stay aligned, manage expectations, and address challenges proactively. Scalable Architecture: We designed the implementation with scalability in mind, allowing us to expand usage across agencies and applications without major rework. Overall, the implementation laid a strong foundation for our APM program and positioned us for long-term success.
As far as we are concerned, Elasticsearch is the gold standard and we have barely evaluated any alternatives. You could consider it an alternative to a relational or NoSQL database, so in cases where those suffice, you don't need Elasticsearch. But if you want powerful text-based search capabilities across large data sets, Elasticsearch is the way to go.
It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
While the overall value of the Splunk AppDynamics platforms is strong, the pricing structure and contract terms can be complex and difficult to navigate. Unit pricing, licensing tiers, and billing frequency are not always intuitive, which can make it challenging to align purchases with the State’s evolving needs. I rely heavily on our Account Manager to help interpret and tailor the licensing model to our specific requirements. Their support has been invaluable in ensuring we make informed decisions. The most impactful change would be to simplify the licensing and pricing model. Clearer documentation, more transparent pricing tiers, and streamlined purchasing processes would significantly improve the experience and reduce administrative overhead.
On a scale of 1 to 10, I would rate the overall scalability of Splunk AppDynamics as a 7. The platform is designed to support enterprise-wide deployments across multiple departments and sites, and it performs well in large-scale environments. Its architecture allows for horizontal scaling and supports a wide range of application types and infrastructures. However, the agent management and deployment process can be complex and time-consuming, especially when onboarding a large number of applications or systems. Coordinating agent installation, configuration, and updates across diverse environments requires careful planning and often significant manual effort. Streamlining these processes—perhaps through more centralized management tools or automation—would enhance scalability and reduce operational overhead. Despite these challenges, once deployed, AppDynamics scales effectively and provides consistent performance and visibility across the enterprise.
Our experience with the professional services team supporting Splunk AppDynamics has been exceptional. They demonstrated deep technical expertise, strong collaboration skills, and a clear understanding of our business objectives. Their guidance was instrumental in the successful implementation of our APM program and platform integration. The rating of 9 reflects our high level of satisfaction, with a small margin left to acknowledge that continuous improvement is always possible. Overall, their support has been a key factor in the success of our deployment.
We have had great luck with implementing Elasticsearch for our search and analytics use cases.
While the operational burden is not minimal, operating a cluster of servers, using a custom query language, writing Elasticsearch-specific bulk insert code, the performance and the relative operational ease of Elasticsearch are unparalleled.
We've easily saved hundreds of thousands of dollars implementing Elasticsearch vs. RDBMS vs. other no-SQL solutions for our specific set of problems.
AppDynamics has played a pivotal role in optimizing our applications for a seamless user experience. The proactive monitoring and quick issue resolution have translated into improved user satisfaction and increased retention rates.
The initial cost and effort associated with implementing AppDynamics might be considered a negative impact, particularly for organizations with budget constraints. However, the long-term benefits have justified this initial investment.
