What users are saying about
22 Ratings
267 Ratings
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Score 8.4 out of 100
22 Ratings
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Score 7.3 out of 100

Feature Set Ratings

    Platform-as-a-Service

    8.3

    AWS Elastic Beanstalk

    83%

    Logstash

    Feature Set Not Supported
    N/A
    AWS Elastic Beanstalk ranks higher in 11/11 features

    Ease of building user interfaces

    9.3
    93%
    18 Ratings
    N/A
    0 Ratings

    Scalability

    8.9
    89%
    29 Ratings
    N/A
    0 Ratings

    Platform management overhead

    8.9
    89%
    28 Ratings
    N/A
    0 Ratings

    Workflow engine capability

    8.9
    89%
    23 Ratings
    N/A
    0 Ratings

    Platform access control

    7.3
    73%
    28 Ratings
    N/A
    0 Ratings

    Services-enabled integration

    6.8
    68%
    28 Ratings
    N/A
    0 Ratings

    Development environment creation

    8.6
    86%
    28 Ratings
    N/A
    0 Ratings

    Development environment replication

    8.3
    83%
    29 Ratings
    N/A
    0 Ratings

    Issue monitoring and notification

    7.6
    76%
    28 Ratings
    N/A
    0 Ratings

    Issue recovery

    8.5
    85%
    26 Ratings
    N/A
    0 Ratings

    Upgrades and platform fixes

    7.9
    79%
    27 Ratings
    N/A
    0 Ratings

    Attribute Ratings

    • Logstash is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    8.0

    AWS Elastic Beanstalk

    80%
    29 Ratings
    10.0

    Logstash

    100%
    3 Ratings

    Likelihood to Renew

    7.9

    AWS Elastic Beanstalk

    79%
    2 Ratings

    Logstash

    N/A
    0 Ratings

    Usability

    7.7

    AWS Elastic Beanstalk

    77%
    9 Ratings

    Logstash

    N/A
    0 Ratings

    Support Rating

    8.0

    AWS Elastic Beanstalk

    80%
    24 Ratings

    Logstash

    N/A
    0 Ratings

    Implementation Rating

    7.0

    AWS Elastic Beanstalk

    70%
    4 Ratings

    Logstash

    N/A
    0 Ratings

    Likelihood to Recommend

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk is well suited for [the] rapid development of applications that use standard compute platforms based on popular programming languages. So getting a Go, Python, Ruby, or Node.js app going in AWS Elastic Beanstalk will be easy. For non-standard applications, containers provide another option for using AWS Elastic Beanstalk. In either case, AWS Elastic Beanstalk is well suited for applications that are [self-contained]. AWS Elastic Beanstalk is also good for development or test environments that need a built-in deployment method.AWS Elastic Beanstalk is less appropriate for complex applications that rely on multiple AWS services. While deploying and running the base code might be easy to get going, it may be difficult to apply permissions and integrations with the other services.
    Michael Jenkins | TrustRadius Reviewer

    Logstash

    Perfect for projects where Elasticsearch makes sense: if you decide to employ ES in a project, then you will almost inevitably use LogStash, and you should anyways. Such projects would include: 1. Data Science (reading, recording or measure web-based Analytics, Metrics) 2. Web Scraping (which was one of our earlier projects involving LogStash) 3. Syslog-ng Management: While I did point out that it can be a bit of an electric boo-ga-loo in finding an errant configuration item, it is still worth it to implement Syslog-ng management via LogStash: being able to fine-tune your log messages and then pipe them to other sources, depending on the data being read in, is incredibly powerful, and I would say is exemplar of what modern Computer Science looks like: Less Specialization in mathematics, and more specialization in storing and recording data (i.e. Less Engineering, and more Design).
    Anonymous | TrustRadius Reviewer

    Pros

    AWS Elastic Beanstalk

    • AWS Elastic Beanstalk was easy to implement, we only had to insert the application code to have it up and running in a few minutes. This helps us to launch company campaigns for different areas such as marketing, commercial and human resources.
    • It has a fast learning curve, since the training material of the platform is public on the manufacturer's portal, furthermore it is easy to interact and intuitive for developers.
    • The productivity of the equipment is optimized since they are not worrying about preparing the platform or infrastructure, they only have to attend to what is required by the application and its operation and this maintenance.
    • The indicators and metrics that it has, ensure that the application cannot be saturated and have a performance problem, with AWS Elastic Beanstalk the application can scale resources when needed automatically.
    Diego Gamez | TrustRadius Reviewer

    Logstash

    • Logstash design is definitely perfect for the use case of ELK. Logstash has "drivers" using which it can inject from virtually any source. This takes the headache from source to implement those "drivers" to store data to ES.
    • Logstash is fast, very fast. As per my observance, you don't need more than 1 or 2 servers for even big size projects.
    • Data in different shape, size, and formats? No worries, Logstash can handle it. It lets you write simple rules to programmatically take decisions real-time on data.
    • You can change your data on the fly! This is the CORE power of Logstash. The concept is similar to Kafka streams, the difference being the source and destination are application and ES respectively.
    Rahul Chaudhary | TrustRadius Reviewer

    Cons

    AWS Elastic Beanstalk

    • Limited to the frameworks and configurations that AWS supports. There is no native way to use Elastic Beanstalk to deploy a Go application behind Nginx, for example.
    • It's not always clear what's changed on an underlying system when AWS updates an EB stack; the new version is announced, but AWS does not say what specifically changed in the underlying configuration. This can have unintended consequences and result in additional work in order to figure out what changes were made.
    Joshua Dickson | TrustRadius Reviewer

    Logstash

    • Since it's a Java product, JVM tuning must be done for handling high-load.
    • The persistent queue feature is nice, but I feel like most companies would want to use Kafka as a general storage location for persistent messages for all consumers to use. Using some pipeline of "Kafka input -> filter plugins -> Kafka output" seems like a good solution for data enrichment without needing to maintain a custom Kafka consumer to accomplish a similar feature.
    • I would like to see more documentation around creating a distributed Logstash cluster because I imagine for high ingestion use cases, that would be necessary.
    Jordan Moore | TrustRadius Reviewer

    Pricing Details

    AWS Elastic Beanstalk

    General

    Free Trial
    Free/Freemium Version
    Yes
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $35 per month

    AWS Elastic Beanstalk Editions & Modules

    Edition
    No Charge$01
    1. Users pay for AWS resources (e.g. EC2, S3 buckets, etc.) used to store and run the application.
    Additional Pricing Details

    Logstash

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    Logstash Editions & Modules

    Additional Pricing Details

    Likelihood to Renew

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk 7.9
    Based on 2 answers
    As our technology grows, it makes more sense to individually provision each server rather than have it done via beanstalk. There are several reasons to do so, which I cannot explain without further diving into the architecture itself, but I can tell you this. With automation, you also loose the flexibility to morph the system for your specific needs. So if you expect that in future you need more customization to your deployment process, then there is a good chance that you might try to do things individually rather than use an automation like beanstalk.
    Rahul Chaudhary | TrustRadius Reviewer

    Logstash

    No score
    No answers yet
    No answers on this topic

    Usability

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk 7.7
    Based on 9 answers
    It is a great tool to manage your applications. You just need to write the codes, and after that with one click, your app will be online and accessible from the internet. That is a huge help for people who do not know about infrastructure or do not want to spend money on maintaining infrastructure.
    Anonymous | TrustRadius Reviewer

    Logstash

    No score
    No answers yet
    No answers on this topic

    Support Rating

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk 8.0
    Based on 24 answers
    As I described earlier it has been really cost effective and really easy for fellow developers who don't want to waste weeks and weeks into learning and manually deploying stuff which basically takes month to create and go live with the Minimal viable product (MVP). With AWS Beanstalk within a week a developer can go live with the Minimal viable product easily.
    Anonymous | TrustRadius Reviewer

    Logstash

    No score
    No answers yet
    No answers on this topic

    Implementation Rating

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk 7.0
    Based on 4 answers
    - Do as many experiments as you can before you commit on using beanstalk or other AWS features.- Keep future state in mind. Think through what comes next, and if that is technically possible to do so.- Always factor in cost in terms of scaling.- We learned a valuable lesson when we wanted to go multi-region, because then we realized many things needs to change in code. So if you plan on using this a lot, factor multiple regions.
    Rahul Chaudhary | TrustRadius Reviewer

    Logstash

    No score
    No answers yet
    No answers on this topic

    Alternatives Considered

    AWS Elastic Beanstalk

    AWS Elastic Beanstalk handles better in server autoscaling, load balancers,networking infrastructure for databases.It also helps in creating all of the architecture needed to run our apps and services.[AWS] Elastic Beanstalk also handles all of the provisioning, scaling, and implementation of the application stack unlike other competitors without a fuss.
    Anonymous | TrustRadius Reviewer

    Logstash

    MongoDB and Azure SQL Database are just that: Databases, and they allow you to pipe data into a database, which means that alot of the log filtering becomes a simple exercise of querying information from a DBMS. However, LogStash was chosen for it's ease of integration into our choice of using ELK Elasticsearch is an obvious inclusion: Using Logstash with it's native DevOps stack its really rational
    Anonymous | TrustRadius Reviewer

    Return on Investment

    AWS Elastic Beanstalk

    • Greatly reduced time in setting up and deploying test environments has saved a lot of hours and money.
    • Near-zero maintenance means that we don't spend any time tending to servers, the app containers just work.
    • The initial learning curve is a little steep to get services hosted in Elastic Beanstalk talking to external services like Redis, MongoDB, etc; but once one understands the pattern, development is a breeze.
    • The command line interface has enabled us to build many utility scripts that simplify our development workflow, thereby saving time.
    Anonymous | TrustRadius Reviewer

    Logstash

    • Positive: Learning curve was relatively easy for our team. We were up and running within a sprint.
    • Positive: Managing Logstash has generally been easy. We configure it, and usually, don't have to worry about misbehavior.
    • Negative: Updating/Rehydrating Logstash servers have been little challenging. We sometimes even loose data while Logstash is down. It requires more in-depth research and experiments to figure the fine-grained details.
    • Negative: This is now one more application/skill/server to manage. Like any other servers, it requires proper grooming or else you will get in trouble. This is also a single point of failure which can have the ability to make other servers useless if it is not running.
    Rahul Chaudhary | TrustRadius Reviewer

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