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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

    Google Cloud Operations Suite

    Score7.2 out of 10
    N/AThe Google Cloud Operations Suite (formerly Stackdriver) is an APM platform based on three tools for error detection, tracing, and resolution. It manages cloud-based or on-premise applications in live or mid-production environments.

    $0.01

    per 1,000 read API calls

    Pricing
    ElasticsearchGoogle Cloud Operations Suite
    Editions & Modules
    Standard
    $16.00
    per month
    Gold
    $19.00
    per month
    Platinum
    $22.00
    per month
    Enterprise
    Contact Sales
    Monitoring API Calls
    $0.01
    per 1,000 read API calls
    Trace Ingestion
    $0.20
    per million spans
    Monitoring Data
    $0.26
    per MB
    Logging Data
    $0.50
    per GB
    Offerings
    Pricing Offerings
    ElasticsearchGoogle Cloud Operations Suite
    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
    ElasticsearchGoogle Cloud Operations Suite
    Considered Both Products
    Elastic
    No answer on this topic
    Google
    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
    ElasticsearchGoogle Cloud Operations Suite
    Application Performance Management
    Comparison of Application Performance Management features of Elasticsearch and Google Cloud Operations Suite
    Feature
    Elasticsearch
    -
    Ratings
    Google Cloud Operations Suite
    8.6
    2 Ratings
    9% above category average
    Application monitoring00 Ratings9.12 Ratings
    Database monitoring00 Ratings9.12 Ratings
    Threshold alerts00 Ratings7.32 Ratings
    Predictive capabilities00 Ratings9.01 Ratings
    Application performance management console00 Ratings6.42 Ratings
    Collaboration tools00 Ratings9.01 Ratings
    Out-of-the box templates to monitor applications00 Ratings9.01 Ratings
    Application dependency mapping and thresholding00 Ratings8.01 Ratings
    Virtualization monitoring00 Ratings10.01 Ratings
    Server availability and performance monitoring00 Ratings8.22 Ratings
    Server usage monitoring and capacity forecasting00 Ratings8.22 Ratings
    IT Asset Discovery00 Ratings10.01 Ratings
    Best Alternatives
    ElasticsearchGoogle Cloud Operations Suite
    Small Businesses
    Apache Solr
    Score7.9 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM Watson Discovery
    Score9 out of 10
    SolarWinds AppOptics
    Score7.6 out of 10
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    Splunk AppDynamics
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ElasticsearchGoogle Cloud Operations Suite
    Likelihood to Recommend
    9.0
    (48 ratings)
    8.2
    (2 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.8
    (9 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    ElasticsearchGoogle Cloud Operations Suite
    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
    Google
    Easy to set up in all environments. With this tool, the company is now able to measure both well-functioning data and data that needs immediate intervention. This early detection facilitates decisions about actions to correct the disorder and improve indexes. Stackdriver is now essential for the company's security and monitoring team and we plan to expand to other branches.
    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
    Google
    • All the application error reporting available at a single place.
    • You will get the real-time application error and alerts.
    • It's really easy to use and no need to worry for the setup.
    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
    Google
    • For searching and filtering the logs the system is slow sometimes.
    • An agent needs to be installed in each VM to monitor specific metrics.
    • The pricing model is confusing.
    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
    Google
    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
    Read full review
    Google
    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
    Read full review
    Google
    It is also a great problem detection tool, and this is extremely important for General Motors.
    The user can count on the ease of flexible panels and advanced visualization tools that help to identify problems. Among the most common, we can mention:
    - containment of hosts;
    - cloud provider limitation;
    - hardware wear.
    And also Stackdriver Integration with other Google Cloud data tools such as BigQuery, Cloud Pub/Sub, Cloud Storage and Cloud Database.
    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
    Google
    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
    Google
    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
    Google
    • We completely depends on Stackdriver for error monitoring and reporting.
    • Stackdriver is very simple to use and available at default.
    • Stackdriver is the key part for our business to get the insight of our application behavior.
    Incentivized
    Read full review
    ScreenShots