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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google BigQuery

    Score8.8 out of 10
    N/AGoogle's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.

    $6.25

    per TiB (after the 1st 1 TiB per month, which is free)

    Splunk Enterprise

    Score8.6 out of 10
    N/ASplunk is software for searching, monitoring, and analyzing machine-generated big data, via a web-style interface. It captures, indexes and correlates real-time data in a searchable repository from which it can generate graphs, reports, alerts, dashboards and visualizations.N/A
    Pricing
    Google BigQuerySplunk Enterprise
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google BigQuerySplunk Enterprise
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQuerySplunk Enterprise
    Considered Both Products
    Google
    Chose Google BigQuery
    I came to use BigQuery from a traditional system like MS SQL server, the features which are available in BigQuery as a cloud service far outweigh the features from SQL server. I have not used other similar tools like Amazon Redshift but Google BigQuery serves multiple use cases …
    Incentivized
    Cisco
    Chose Splunk Enterprise
    Splunk Enterprise was already chosen by our organization to be used across teams. However, the reasoning I know behind is the ability to share events/messages across different message brokers and making onboarding easier to legacy teams by just simple configuration.
    Incentivized
    Chose Splunk Enterprise
    We are using this because it has lots of advantage over others. And it seems to be a good fit for us. Splunk provides lot more features than others and its UI is user-friendly, so for a new developer, it would not be too difficult to use it and do something around it.
    Incentivized
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    97%
    Would buy again
    59 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    94%
    Delivers good value for the price
    49 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    97%
    Happy with the feature set
    59 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    93%
    Lived up to sales and marketing promises
    43 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    96%
    Implementation went as expected
    50 Answers
    Features
    Google BigQuerySplunk Enterprise
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Splunk Enterprise
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Splunk Enterprise
    -
    Ratings
    Automatic software patching8.017 Ratings00 Ratings
    Database scalability9.079 Ratings00 Ratings
    Automated backups8.524 Ratings00 Ratings
    Database security provisions8.873 Ratings00 Ratings
    Monitoring and metrics8.675 Ratings00 Ratings
    Automatic host deployment8.013 Ratings00 Ratings
    Security Information and Event Management (SIEM)
    Comparison of Security Information and Event Management (SIEM) features of Google BigQuery and Splunk Enterprise
    Feature
    Google BigQuery
    -
    Ratings
    Splunk Enterprise
    8.2
    91 Ratings
    3% above category average
    Centralized event and log data collection00 Ratings9.085 Ratings
    Correlation00 Ratings8.487 Ratings
    Event and log normalization/management00 Ratings8.488 Ratings
    Deployment flexibility00 Ratings8.081 Ratings
    Integration with Identity and Access Management Tools00 Ratings8.282 Ratings
    Custom dashboards and workspaces00 Ratings8.887 Ratings
    Host and network-based intrusion detection00 Ratings7.865 Ratings
    Data integration/API management00 Ratings8.334 Ratings
    Behavioral analytics and baselining00 Ratings7.732 Ratings
    Rules-based and algorithmic detection thresholds00 Ratings7.933 Ratings
    Response orchestration and automation00 Ratings7.529 Ratings
    Reporting and compliance management00 Ratings8.634 Ratings
    Incident indexing/searching00 Ratings8.737 Ratings
    Best Alternatives
    Google BigQuerySplunk Enterprise
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    IBM Security QRadar SIEM
    Score8.9 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    SolarWinds Security Event Manager (SEM)
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySplunk Enterprise
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.7
    (112 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.5
    (25 ratings)
    Usability
    6.6
    (6 ratings)
    8.5
    (45 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.0
    (19 ratings)
    Online Training
    -
    (0 ratings)
    8.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (3 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    9.1
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQuerySplunk Enterprise
    Likelihood to Recommend
    Google
    Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
    Incentivized
    Read full review
    Cisco
    I'm liking the newer products, and I'm looking forward to how they integrate with the overall product when they come together. Just log in and be able to query a large number of systems for similar issues or a unique one. That is a great fit for Splunk Enterprise, looking for a simple case or a simple String or something of that nature across multiple machines. It's a great fit for that to identify issues or particular software, whatever your scenario is, String, to find it across any particular server or group of servers, so that you can update or do a deployment or whatever it is you're looking to do.
    Incentivized
    Read full review
    Pros
    Google
    • Realtime integration with Google Sheets.
    • GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
    • Seamless integration with other GCP products.
    • A simple pipeline might look like this:-
    • GForms -> GSheets -> BigQuery -> Looker
    • It all links up really well and with ease.
    • One instance holds many projects.
    • Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
    Incentivized
    Read full review
    Cisco
    • It is very useful in creating custom rules for analyzing system logs and display relevant information. The query language is very easy to learn.
    • We can create custom UI to visualize the output of our data. The interface is very flexible. It also allows the sharing of rules among users.
    • There is an open online community to help others. Stackoverflow also has a splunk community. These resources make it more convenient to learn.
    Incentivized
    Read full review
    Cons
    Google
    • Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
    • If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
    • It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
    Incentivized
    Read full review
    Cisco
    • Splunk light limits number of users to 5. Wish there was a flexible license, where one could add more users.
    • Splunk light does not let you add > few realtime alerts. Wish there was a flexible license, where one could add as many realtime alerts as wanted.
    • Better insight into daily ingestion values
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
    Incentivized
    Read full review
    Cisco
    We are using Splunk extensively in our projects and we have recently upgraded to Splunk version 6.0 which is quite efficient and giving expected results. We keep track of updates and new features Splunk introduces periodically and try to introduce those features in our day to day activities for improvement in our reporting system and other tasks.
    Read full review
    Usability
    Google
    I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
    Incentivized
    Read full review
    Cisco
    You can literally throw in a single word into Splunk and it will pull back all instances of that word across all of your logs for the time span you select (provided you have permission to see that data). We have several users who have taken a few of the free courses from Splunk that are able to pull data out of it everyday with little help at all.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
    Incentivized
    Read full review
    Cisco
    When properly setup and configured, Splunk is extremely reliable.
    Incentivized
    Read full review
    Performance
    Google
    I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
    Incentivized
    Read full review
    Cisco
    No answers on this topic
    Support Rating
    Google
    BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
    Incentivized
    Read full review
    Cisco
    Splunk maintains a well resourced support system that has been consistent since we purchased the product. They help out in a timely manner and provide expert level information as needed. We typically open cases online and communicate when possible via e-mail and are able to resolve most issues with that method.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    Cisco
    The online course was simple clear and described the main capabilities of the solution. There is also an initial module that can be done for free so anyone can familiarize themselves with the functionality of this solution. On the other hand, however, there could be more free online courses. Maybe even with a certificate, this would broaden the group of people who are familiar with the platform while increasing familiarity with the solution itself.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Cisco
    Smooth without too many major issues.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
    Incentivized
    Read full review
    Cisco
    A lot of products have natively inside their own dashboards and or their own logging repositories. And each one is difficult to learn or they're too complex or they're not verbose in the sense that they're not easy to mine the data that you're looking for. So that could be anything from the native logging that you find in other Cisco products. It's easier to use Splunk to draw the data that you're looking for as opposed to going to the individual's products themselves to get the logs that you're looking for.
    Incentivized
    Read full review
    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Cisco
    No answers on this topic
    Scalability
    Google
    We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
    Incentivized
    Read full review
    Cisco
    Splunk can scale in to the petabyte per day range which of course is awesome
    Read full review
    Professional Services
    Google
    Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
    Read full review
    Cisco
    No answers on this topic
    Return on Investment
    Google
    • Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
    • We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
    • Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
    Incentivized
    Read full review
    Cisco
    • Splunk has allowed developers to diagnose production issues when access of control was taken away from them to be allowed to view items in production environments and I believe that is invaluable.
    • At times some developers weren't super happy about using it, but it was more of the fact that they were used to having production access and not creating their splunk queries to get information.
    • Going one place to view logs was very beneficial to have.
    Incentivized
    Read full review
    ScreenShots

    Google BigQuery Screenshots

    Screenshot of Migrating data warehouses to BigQuery - Features a streamlined migration path from Netezza, Oracle, Redshift, Teradata, or Snowflake to BigQuery using the fully managed BigQuery Migration Service.Screenshot of bringing any data into BigQuery - Data files can be uploaded from local sources, Google Drive, or Cloud Storage buckets, using BigQuery Data Transfer Service (DTS), Cloud Data Fusion plugins, by replicating data from relational databases with Datastream for BigQuery, or by leveraging Google's data integration partnerships.Screenshot of generative AI use cases with BigQuery and Gemini models - Data pipelines that blend structured data, unstructured data and generative AI models together can be built to create a new class of analytical applications. BigQuery integrates with Gemini 1.0 Pro using Vertex AI. The Gemini 1.0 Pro model is designed for higher input/output scale and better result quality across a wide range of tasks like text summarization and sentiment analysis. It can be accessed using simple SQL statements or BigQuery’s embedded DataFrame API from right inside the BigQuery console.Screenshot of insights derived from images, documents, and audio files, combined with structured data - Unstructured data represents a large portion of untapped enterprise data. However, it can be challenging to interpret, making it difficult to extract meaningful insights from it. Leveraging the power of BigLake, users can derive insights from images, documents, and audio files using a broad range of AI models including Vertex AI’s vision, document processing, and speech-to-text APIs, open-source TensorFlow Hub models, or custom models.Screenshot of event-driven analysis - Built-in streaming capabilities automatically ingest streaming data and make it immediately available to query. This allows users to make business decisions based on the freshest data. Or Dataflow can be used to enable simplified streaming data pipelines.Screenshot of predicting business outcomes AI/ML - Predictive analytics can be used to streamline operations, boost revenue, and mitigate risk. BigQuery ML democratizes the use of ML by empowering data analysts to build and run models using existing business intelligence tools and spreadsheets.