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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)

    Jive

    Score8.7 out of 10
    N/AJive Software, part of the Aurea family of customer experience solutions, provides the gateway to an organization's most important assets – its knowledge and people. Jive's interactive intranet solution promises to connect people, information and ideas to help businesses outpace their competitors. The vendor says the product has more than 30 million users worldwide across every industry, and is consistently recognized as a leader by top analyst firms.N/A
    Pricing
    Google BigQueryJive
    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 BigQueryJive
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryJive
    Considered Both Products
    Google
    No answer on this topic
    Aurea
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    No answers on this topic
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    No answers on this topic
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    No answers on this topic
    Features
    Google BigQueryJive
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Jive
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Jive
    -
    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
    Best Alternatives
    Google BigQueryJive
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    HCL Connections
    Score9 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    HCL Connections
    Score9 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    HCL Connections
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryJive
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.1
    (37 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    6.6
    (17 ratings)
    Usability
    6.6
    (6 ratings)
    6.1
    (4 ratings)
    Availability
    7.3
    (1 ratings)
    5.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    6.9
    (2 ratings)
    Online Training
    -
    (0 ratings)
    5.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    3.0
    (1 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)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryJive
    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
    Aurea
    It's definitely worth considering Jive for the type of application we've developed i.e. a central shared repository for all employees to host and discuss information. I can't say I have ever used a superior tool, but they may exist. I'm just not sure I would want to use it exclusively for file hosting, though. It does integrate with various other tools, so perhaps it would be fine if used in conjunction with another tool for that purpose.
    Incentivized
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    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
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    Aurea
    • Individual design
    • Presence of Russian language (localization can be independently established)
    • You can configure several information tapes with different themes. One for work, the second for communication
    • A newly-arrived network user immediately receives a prepared block for beginners. After completing several game tasks, the user will receive the basics of using Jive.
    • There is a template for each scenario. There is even a template for planning R&D, and there are more than twenty of them.
    • Integrates with MS Office, Google Drive, Google Docs
    • There are all platforms (even Winphone and blackberry)
    • You can create forum threads
    Incentivized
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    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
    Aurea
    • Search functionality is very weak
    • The information architecture and taxonomy doesnt allow for easy discoverability of content
    • It's hard to navigate the and find spaces/groups that I already know about
    • The main profile/interface does not allow easy access to key tasks or common tasks.
    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
    Aurea
    There are always external factors that can impact this decision but currently, the Jive platform is maintaining its lead in the market place in this area. If the innovation in this space by Jive continues, then this number will remain high. Integration with other systems and adaptability to changes in the market or in client needs will also make this decision hard to predict more then 6 months into the future
    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
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    Aurea
    It was harder to use that expected. The admin needs to be code savvy to truly customize the system. And users need to trained on the system and the setup. Trainings and monitoring need to continue to enforce use.
    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
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    Aurea
    Uptime was OK. But there was one day that the system crashed for a whole day. Our company was unable to operate. And all the plugins to word/excel froze causing those systems to freeze.

    Jive posted a statement to the media saying all customers were up, but we were not.
    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
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    Aurea
    The product worked as designed. It just didn't work for our needs.
    Read full review
    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
    Aurea
    They did an OK job when I needed them. Except for the one day the system went down. Jive pointed the finger at the hosting company, and the hosting company pointed the finger at Jive. No reliable information came to us.
    Read full review
    Online Training
    Google
    No answers on this topic
    Aurea
    Jive online training is there. It is OK/average. I feel some other companies are doing better. It is not a piece that is required to have a successfully implementation, but it could be useful to improve it
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Aurea
    If I did this over, I would hire out the implementation. They know the best practices and could have guided us to make an easier to use setup.
    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
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    Aurea
    We had a Google phone number set up before and Jive was a lot better option than that. It is more consistent and can be configured much easier and with more advanced settings. Additionally, based on the pricing as well as working with the rep on our account, it was a perfect option for us
    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
    Aurea
    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
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    Aurea
    No answers on this topic
    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
    Aurea
    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
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    Aurea
    • reduce email traffic
    • reduce amount of files/documents scattered & lost across shared drives
    • increased discovery, awareness and interaction of historically more separated individuals & team functions across the organisation
    • from an IT perspective, we've benefited from improved IT operations (e.g. troubleshooting info shared and easily searched/found with all team members - such that even junior team members can solve technical problems outside of business hours, lessening the burden for standby/call-in for more senior team members)
    Incentivized
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    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.

    Jive Screenshots

    Screenshot of Jive's Interactive Intranet software provides a single platform for employee collaboration without complication.