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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

    Imonggo

    Score8 out of 10
    N/AImonggo is a free web-based point of sale solution that launched in 2009. The vendor says currently it is scaling to address the various needs of states across global markets to become the authority in a point-of-sale solution for growing businesses.

    $30

    per month, per branch

    Pricing
    ElasticsearchImonggo
    Editions & Modules
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    Premium
    $30
    per month, per branch
    Offerings
    Pricing Offerings
    ElasticsearchImonggo
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    ElasticsearchImonggo
    Considered Both Products
    Elastic
    No answer on this topic
    Imonggo
    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
    Best Alternatives
    ElasticsearchImonggo
    Small Businesses
    Apache Solr
    Score7.9 out of 10
    Square POS
    Score9 out of 10
    Medium-sized Companies
    IBM Watson Discovery
    Score9 out of 10
    No answers on this topic
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ElasticsearchImonggo
    Likelihood to Recommend
    9.0
    (48 ratings)
    8.0
    (1 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Usability
    10.0
    (1 ratings)
    9.0
    (1 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (1 ratings)
    Support Rating
    7.8
    (9 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    8.0
    (1 ratings)
    Configurability
    -
    (0 ratings)
    5.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    8.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    ElasticsearchImonggo
    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
    Imonggo
    With all of the supplies and outreach we do with clients, Imonggo is really good at tracking that inventory. We can scan it in to have a detailed accounting of where our supplies end up located. We can scan them out to track which department is using supplies and at which quantities. This helps us keep track of our inventory usage rates and therein our connections with clients. This extremely useful in our grant reporting so we can track spending and demonstrate that money is translating to tangible benefits for our clients.
    Incentivized
    Read full review
    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
    Imonggo
    • Inventory management - It's easy to update inventories and organize items with specific tags.
    • Client information - It's easy to update basic client information into the system and maintain easy access to their records.
    • Visualization - It can visualize inventory quantities and helps provide a graphical representation of which department is consuming which resources.
    • UI - The UI is pretty paired down so it's not cluttered and limits the options to only what is relevant to your given task.
    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
    Imonggo
    • Design - While the UI is navigable, the design looks a bit dated.
    • Server issues - Occasionally the web-based client is too slow to process information and can result in a double input of said information. It's not life ending but a bit annoying at times.
    • Custom Tagging - Most of the tags we input to classify inventory have to be entered manually, it would really nice to have those populate automatically.
    • Inventory buttons - They used to have buttons that you could click to change the inventory in a given field, now you just have to enter the number in the field itself. Was much nicer to have the option of both.
    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
    Imonggo
    It's something we've used for a while now and we're pleased ultimately with its functionality. This is not to say its perfect, it isn't, but accomplishes a lot of what we need it to do. The fact we've been able to utilize it outside of a traditional retail environment speaks to its versatility and adaptability. For those reasons we'll continue to use until we're presented with a better alternative.
    Incentivized
    Read full review
    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
    Read full review
    Imonggo
    It's pretty phenomenal for inventory management/POS of functions. Relatively easy to use and incorporate into our process. The lack of customization and categorization from the client/customer tracking side of the software is its big limitations and the only frustration for a usability perspective.
    Incentivized
    Read full review
    Reliability and Availability
    Elastic
    No answers on this topic
    Imonggo
    Yes it's always available. We've never had an outage issue.
    Incentivized
    Read full review
    Performance
    Elastic
    No answers on this topic
    Imonggo
    It usually loads quickly and without hesitation. There are the occasional slow moments in connectivity that can present small frustrations, but nothing majorly inhibiting. We haven't integrated it apart from being a standalone application.
    Incentivized
    Read full review
    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
    Read full review
    Imonggo
    The few times we've used them, they've been really solid. The only reason they didn't a perfect 10 is that we haven't had a major hiccup by which to judge them.
    Incentivized
    Read full review
    Implementation Rating
    Elastic
    Do not mix data and master roles. Dedicate at least 3 nodes just for Master
    Incentivized
    Read full review
    Imonggo
    It's hard to give anything a perfect 10 when it comes to implementation unless it does it all for you. Our biggest complaint was the time it took to set up everything in the software, though to be fair that's almost always going to be the case with inventory management software. The lack of auto-populate fields did slow us down some, but ultimately we got the set up done without egregious headaches, that's a win in my book.
    Incentivized
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    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
    Imonggo
    Imonggo makes things simpler given its relatively clean UI and simple options tree that results from each click. Salesforce can do more and use custom tracking more efficiently but is more of a pain to set up and maintain. Xero handles inventory management in a different way than Imonggo and for day to day purposes its easier for our staff to use Immongo. Imonggo lets lower level staff interact with our inventory and we can set up access for them to more akin to its typical POS service, scanning out inventory for clients.
    Incentivized
    Read full review
    Scalability
    Elastic
    No answers on this topic
    Imonggo
    It works exactly as we intend the vast majority of the time. There are moments where the software is slow to respond and thus causes duplicate input of information. That may be the fault of our machine/internet connection, but it happens with enough frequency that it can be a small hiccup. Usually any hiccups that it presents can be remedied immediately.
    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
    Imonggo
    • Inventory management - This has been extremely helpful to track what we're using and in what quantities. Makes budgeting a lot easier and more accurate.
    • Client engagement - It's helped us engage and maintain clients, but by the same token has proven limited as it's difficult to separate clients into custom subcategories.
    • Grant reporting - The numbers generated through Imonggo are really helpful for providing numerical feedback to our funders.
    Incentivized
    Read full review
    ScreenShots