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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Elasticsearch

    Score8.5 out of 10
    N/AElasticsearch is an enterprise search tool from Elastic in Mountain View, California.

    $16

    per month

    LoadRunner Professional

    Score8.5 out of 10
    N/AA solution simplifies performance load testing for colocated teams. With project-based capabilities, so teams can quickly identify abnormal application behavior.N/A
    Pricing
    ElasticsearchLoadRunner Professional
    Editions & Modules
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    No answers on this topic
    Offerings
    Pricing Offerings
    ElasticsearchLoadRunner Professional
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    ElasticsearchLoadRunner Professional
    Considered Both Products
    Elastic
    No answer on this topic
    OpenText
    No answer on this topic
    Key User Insights
    Would buy again
    82%
    Would buy again
    14 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    17 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    13 Answers
    No answers on this topic
    Implementation went as expected
    87%
    Implementation went as expected
    13 Answers
    No answers on this topic
    Features
    ElasticsearchLoadRunner Professional
    Load Testing
    Comparison of Load Testing features of Elasticsearch and OpenText LoadRunner Professional
    Feature
    Elasticsearch
    -
    Ratings
    OpenText LoadRunner Professional
    8.4
    6 Ratings
    1% below category average
    End to end performance management00 Ratings9.06 Ratings
    Integrated performance data00 Ratings10.06 Ratings
    Deployment model flexibility00 Ratings9.06 Ratings
    Real time monitoring00 Ratings6.15 Ratings
    Automated anomaly detection00 Ratings8.05 Ratings
    Best Alternatives
    ElasticsearchLoadRunner Professional
    Small Businesses
    Apache Solr
    Score7.9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Watson Discovery
    Score9 out of 10
    JMeter
    Score8.1 out of 10
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    JMeter
    Score8.1 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ElasticsearchLoadRunner Professional
    Likelihood to Recommend
    9.0
    (48 ratings)
    9.0
    (7 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.8
    (9 ratings)
    3.0
    (1 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    ElasticsearchLoadRunner Professional
    Likelihood to Recommend
    Elastic
    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.
    Incentivized
    Read full review
    OpenText
    Micro Focus LoadRunner and its suite of tools, specifically VuGen works wonderfully for us for all web, http/https and web service calls. We've been able to build tests for near any scenario we need with relative ease. As long as we have crafted up requirements for our scenarios / scripts to managed scope, we've had high success working with scripting and data driving. Our main tests are web service calls - typically chained together to form a full scenario with transactions measuring the journey or a similar (measure along the way) journey through a browser. For web services we will use VuGen and browser we've shifted to Tru Client I have had little-to-no experience scripting against a thick client where a ui-driven test would be required. I know its possible but quite costly due to the need to run the actual desktop client to drive tests. We've been fortunate enough to leverage http calls to represent client traffic.
    Incentivized
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    Pros
    Elastic
    • 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.
    Incentivized
    Read full review
    OpenText
    • It can simulate multiple users at the same time and help understand the performance.
    • It can generate excellent reports and give insights into application performance.
    • It is a fast tool and does not take time to perform its functions.
    Incentivized
    Read full review
    Cons
    Elastic
    • Joining data requires duplicate de-normalized documents that make parent child relationships. It is hard and requires a lot of synchronizations
    • Tracking errors in the data in the logs can be hard, and sometimes recurring errors blow up the error logs
    • Schema changes require complete reindexing of an index
    Incentivized
    Read full review
    OpenText
    • HP LoadRunner with new patches and releases sometimes makes no longer support older version of various protocols like Citrix, which makes the task time-consuming when using older versions of LoadRunner for some of the cases. So it should support older version as well while upgrading.
    • Configuring HP LoadRunner over the firewall involves lots of configuration and may be troublesome. So, there should be a script (power shell script for Windows or shell script for Linux users) to make it easy to use and with less pain.
    • I would like to see the RunTime Viewer of Vugen in HPLoadRunner based on the browser I selected in the run-time configuration to make it feel more realistic as a real user.
    • Licensing cost is very high when we need to perform a test on application for a specific group of users.
    Incentivized
    Read full review
    Likelihood to Renew
    Elastic
    We're pretty heavily invested in ElasticSearch at this point, and there aren't any obvious negatives that would make us reconsider this decision.
    Incentivized
    Read full review
    OpenText
    No answers on this topic
    Usability
    Elastic
    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.
    Incentivized
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    OpenText
    No answers on this topic
    Support Rating
    Elastic
    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.
    Incentivized
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    OpenText
    Customer service is not that great. It's difficult to get hold of someone if an issue is supposed to be addressed on an urgent basis. No online chat service readily available.
    Incentivized
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    Implementation Rating
    Elastic
    Do not mix data and master roles. Dedicate at least 3 nodes just for Master
    Incentivized
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    OpenText
    No answers on this topic
    Alternatives Considered
    Elastic
    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.
    Incentivized
    Read full review
    OpenText
    HP performance center stacks up very well for front end applications. Need more improvements for API performance testing.
    Incentivized
    Read full review
    Return on Investment
    Elastic
    • 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.
    Incentivized
    Read full review
    OpenText
    • The scripts created with traditional web/http protocol are not robust thus re-scripting is required after most every code drop. Troubleshooting and fixing the issue takes more time therefore in most cases we do re-scripting to keep it simple and save time.
    • In ideal world you would rather spend more time doing testing than scripting in that case mostly you could use an Ajax TruClient protocol. This type of script will only fail when an object in the application is removed or changed completely. This way of scripting will save you more time and helps you maintain the scripts with less re-work effort on a release basis. On the long run you will have a better ROI when you use Ajax TruClient protocol for scripting.
    Incentivized
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    ScreenShots