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Google BigQuery vs. Salesforce Marketing Cloud Social Studio (discontinued)

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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)

    Salesforce Marketing Cloud Social Studio (discontinued)

    Score8.1 out of 10
    N/ARadian6 was acquired by Salesforce.com in 2011 and - along with Buddy Media - became Salesforce Social Studio. The product was retired in November of 2024.

    $1,000

    Per Org Per Month

    Pricing
    Google BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Basic
    $1,000.00
    Per Org Per Month
    Pro
    $4,000.00
    Per Org Per Month
    Corporate
    $12,000.00
    Per Org Per Month
    Enterprise
    $40,000.00
    Per Org Per Month
    Offerings
    Pricing Offerings
    Google BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    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 BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    Considered Both Products
    Google
    Chose Google BigQuery
    Both BigQuery and Redshift are two comparable fully managed petabyte-scale cloud data warehouses. They’re similar in many ways, but you should consider their unique features and how they can contribute to an organization’s data analytics infrastructure. When considering which …
    Incentivized
    Discontinued Products
    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 BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Salesforce Marketing Cloud Social Studio (discontinued)
    -
    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
    Listening/monitoring
    Comparison of Listening/monitoring features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.8
    11 Ratings
    14% above category average
    Boolean keyword searches00 Ratings8.010 Ratings
    Filtering out noise/spam00 Ratings8.010 Ratings
    Sentiment analysis00 Ratings9.09 Ratings
    Broad channel coverage00 Ratings10.011 Ratings
    Publishing
    Comparison of Publishing features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.0
    11 Ratings
    2% below category average
    Content planning and scheduling00 Ratings8.011 Ratings
    Audience targeting00 Ratings8.010 Ratings
    Content optimization00 Ratings8.09 Ratings
    Workflow management00 Ratings8.011 Ratings
    Engagement
    Comparison of Engagement features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    9.0
    10 Ratings
    10% above category average
    Automated routing and prioritization00 Ratings9.99 Ratings
    Customer interaction histories00 Ratings7.010 Ratings
    Bulk actions00 Ratings10.010 Ratings
    Marketing
    Comparison of Marketing features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.5
    10 Ratings
    9% above category average
    Lead generation00 Ratings9.09 Ratings
    Content marketing00 Ratings9.010 Ratings
    Paid media management00 Ratings8.08 Ratings
    Campaigns and promotions00 Ratings8.09 Ratings
    Channel coverage/integration
    Comparison of Channel coverage/integration features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.3
    11 Ratings
    0% below category average
    Twitter00 Ratings8.011 Ratings
    Facebook00 Ratings8.011 Ratings
    LinkedIn00 Ratings10.08 Ratings
    Google+00 Ratings6.86 Ratings
    Instagram00 Ratings9.08 Ratings
    Pinterest00 Ratings6.54 Ratings
    YouTube00 Ratings10.07 Ratings
    Reporting/analytics
    Comparison of Reporting/analytics features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.3
    10 Ratings
    7% above category average
    Campaign success analytics00 Ratings8.010 Ratings
    Real-time tracking00 Ratings9.010 Ratings
    Competitor analysis00 Ratings8.08 Ratings
    Account management
    Comparison of Account management features of Google BigQuery and Salesforce Marketing Cloud Social Studio (discontinued)
    Feature
    Google BigQuery
    -
    Ratings
    Salesforce Marketing Cloud Social Studio (discontinued)
    8.5
    10 Ratings
    7% above category average
    Role-based user permissions & privileges00 Ratings8.09 Ratings
    Mobile access00 Ratings9.010 Ratings
    Best Alternatives
    Google BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Sendible
    Score7.2 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Emplifi
    Score8.9 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Sprinklr Social
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    Likelihood to Recommend
    9.0
    (79 ratings)
    10.0
    (52 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.8
    (38 ratings)
    Usability
    6.6
    (6 ratings)
    8.0
    (10 ratings)
    Availability
    7.3
    (1 ratings)
    9.6
    (5 ratings)
    Performance
    6.4
    (1 ratings)
    8.4
    (5 ratings)
    Support Rating
    4.8
    (11 ratings)
    9.0
    (8 ratings)
    In-Person Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    7.6
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.8
    (6 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 BigQuerySalesforce Marketing Cloud Social Studio (discontinued)
    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
    Discontinued Products
    If you're tasked with publishing content to social on behalf of your organization then this tool is certainly worth considering. You have quick and easy capability to schedule across multiple platforms with drag-and-drop simplicity. It ties into Salesforce's real strength of its CRM platform so you can quickly tie social activity and leads to those already in your database. And it does a good job at monitoring and analyzing brand and competitor content across multiple media types. Having said that, if you're into deep-dive and full functionality SaaS tools then this might not be for you as it covers three areas adequately, but not in enough detail or strength to make it a star performer
    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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    Discontinued Products
    • The amount of the information that radian6 can pull from multiple social platforms is absolutely phenomenal. Its just not only the pull but the way the information can be presented in dashboards was way good. It helped us understand in various aspects of our social presence.
    • Multiple profiles helped us to break down the Big/Huge social buzz cloud to smaller and more manageable pieces. This helped us concentrate on the lows and helped us to plan better on turning them to highs.
    • Radian6 allowed us to follow thru the crowd trends with the latest information presented in a single view. This also helped us to collect the social opinion on the product releases.
    • The ease of use, one need not be an expert to start using this platform. The interface is easily understandable by anyone.
    • A keyword can be edited quickly to tailor the needs and the results were quick.
    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
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    Discontinued Products
    • Instagram Social Listening - it currently does not offer much social listening in terms of Instagram.
    • Instagram Owned - It currently stops pulling once an update is "old" by their standards, even if it receives recent comments. They can force pull, but you have to work with their tech team to do so.
    Incentivized
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    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
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    Discontinued Products
    I spent a lot of time researching the right platform for me and our organisation (thanks to the other reviews on TrustRadius also). Having used other platforms when I found frustrations getting my everyday work done, I knew exactly what I wanted and this is why I chose Social Studio. While there have been a few hiccups, the quarterly update releases and the outstanding tech support have kept me more than happy.
    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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    Discontinued Products
    • Would rate this a 6. The User Interface is pretty intuitive, but the platform was still considered pretty intimidating by our non-technical staff when they first saw it. It took a while to get used to it and feel comfortable. There was quite a lot of setup work in the beginning (for example, we had to build our own reports using a canned report as a template, and this was not simple). Although it took a while to get it setup correctly, it’s quite intuitive once that work has been done.
    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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    Discontinued Products
    The platform is rarely down
    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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    Discontinued Products
    No issues with performance.
    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.
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    Discontinued Products
    As mentioned previously, it can be hard to get through to people who can help you. On occasion when I have spoken to customer service/tech support, they all seem nice and try to be helpful, however instead of admitting the system cannot do certain things, they will persist it saying that it can, which results in many wasted hours overall.
    Read full review
    Online Training
    Google
    No answers on this topic
    Discontinued Products
    • We initially received dedicated online training for our team which was delivered by our account rep. This was pretty effective since it happened after our data had been loaded into the system and it had been configured for specific needs our organization. The training was perhaps a bit shallow though, as it was only an hour long. Online videos are available to be taken individually, and these have been useful.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Discontinued Products
    Implementation was pretty simple. Just a matter of giving the account rep a list of our search terms and having him set the system up to pull the data we wanted to see. Once this had been done, we tweaked it with his help. Process was pretty smooth, although there was some back and forth until it worked the way we wanted.
    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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    Discontinued Products
    Compared to Radian6, I found Meltwater Buzz, Simply Measured, and Sprout Social to be much more user friendly. Meltwater Buzz and Radian6 are very similar products with many of the same functionalities but Buzz presents your analytics in a way that is much easier to understand. I did a two week trial with Sprout Social and absolutely loved the product but our company needed the capability to connect to Salesforce, which is available on R6 and Buzz. Simply Measured is my all time favorite but I have only used the free version so I am not completely sure how it stacks up to Radian6
    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
    Discontinued Products
    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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    Discontinued Products
    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
    Discontinued Products
    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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    Discontinued Products
    • Monitoring social brand awareness is not something you can consider to have a meaninful impact in your business ROI short term, however it's a must for taking care of long term relationships and customer intimacy.
    • Radian6 connects with other analytical tools like webtrends, Google Analytics, etc..however it's not directly linked to a revenue driven platform, you can´t see the immediate ROI generated in the tool.
    • If you bet for social relationships you should consider this tool, no question on that. Social Commerce might be of course impacted postively by the proper use of this tool.
    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.