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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)

    Slack

    Score9 out of 10
    N/ASlack is a group messaging or team collaboration app that aims to simplify communication for businesses. Features include open discussions, private groups, and direct messaging, as well as deep contextual search and message archiving, and file sharing. Slack integrates with a number of other tools, such as MailChimp, Dropbox, and Google Drive. Slack was acquired by Salesforce in December 2020. The product is free to use, and also has paid plans with more features and greater controls. The…

    $8.75

    per month per user

    Pricing
    Google BigQuerySlack
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Free
    $0
    Pro
    $7.25*
    per month per user
    Business+
    $12.50*
    per month per user
    Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Google BigQuerySlack
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—*Per active user, per month, when paying once a year. Pro is $8.75 USD per active user when paying month to month. Business+ is $15.00 USD per active user when paying month to month.
    More Pricing Information
    Community Pulse
    Google BigQuerySlack
    Considered Both Products
    Google
    Chose Google BigQuery
    Google BigQuery manages data like no one else. The light speed of running queries makes it a one stop solution. The editor and query builder also have a highly intuitive interface that makes it easy to build new queries fast. Google BigQuery can easily be integrated with other …
    Incentivized
    Chose Google BigQuery
    BigQuery is better at storing and handling large amounts of data than Knime. Knime is locally run and does not have the ability to handle massive databases like BigQuery and importing from multiple sources for multiple teams would be impossible, that is not really the function …
    Incentivized
    Salesforce
    Chose Slack
    Microsoft Teams is mostly for working in development teams and really not suitable as normal day to day messaging/collaboration tool.
    Skype for Business is reliable but not suitable for code management and has very high costs for movement to cloud.
    Cisco Teams is mostly suited …
    Incentivized
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    97%
    Would buy again
    503 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    99%
    Delivers good value for the price
    426 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    98%
    Happy with the feature set
    510 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    98%
    Lived up to sales and marketing promises
    295 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    99%
    Implementation went as expected
    330 Answers
    Features
    Google BigQuerySlack
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Slack
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Slack
    -
    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
    Project Management
    Comparison of Project Management features of Google BigQuery and Slack
    Feature
    Google BigQuery
    -
    Ratings
    Slack
    7.9
    628 Ratings
    2% above category average
    Task Management00 Ratings7.6430 Ratings
    Gantt Charts00 Ratings6.961 Ratings
    Scheduling00 Ratings7.8363 Ratings
    Workflow Automation00 Ratings8.0396 Ratings
    Mobile Access00 Ratings9.4601 Ratings
    Search00 Ratings8.2608 Ratings
    Visual planning tools00 Ratings7.3275 Ratings
    Communication
    Comparison of Communication features of Google BigQuery and Slack
    Feature
    Google BigQuery
    -
    Ratings
    Slack
    8.7
    636 Ratings
    9% above category average
    Chat00 Ratings9.6635 Ratings
    Notifications00 Ratings8.7632 Ratings
    Discussions00 Ratings9.2620 Ratings
    Surveys00 Ratings8.1413 Ratings
    Internal knowledgebase00 Ratings7.8412 Ratings
    Integrates with GoToMeeting00 Ratings8.9110 Ratings
    Integrates with Gmail and Google Hangouts00 Ratings8.7182 Ratings
    Integrates with Outlook00 Ratings8.9120 Ratings
    File Sharing & Management
    Comparison of File Sharing & Management features of Google BigQuery and Slack
    Feature
    Google BigQuery
    -
    Ratings
    Slack
    8.4
    603 Ratings
    4% above category average
    Versioning00 Ratings8.2326 Ratings
    Video files00 Ratings8.2541 Ratings
    Audio files00 Ratings8.4527 Ratings
    Document collaboration00 Ratings7.9429 Ratings
    Access control00 Ratings8.3411 Ratings
    Advanced security features00 Ratings8.3362 Ratings
    Integrates with Google Drive00 Ratings9.0211 Ratings
    Device sync00 Ratings9.0455 Ratings
    Best Alternatives
    Google BigQuerySlack
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Flock
    Score9.5 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Troop Messenger
    Score9.8 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Cisco Business Edition 7000 (discontinued)
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQuerySlack
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.1
    (639 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (25 ratings)
    Usability
    6.6
    (6 ratings)
    9.0
    (255 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (2 ratings)
    Performance
    6.4
    (1 ratings)
    10.0
    (2 ratings)
    Support Rating
    4.8
    (11 ratings)
    10.0
    (68 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.9
    (5 ratings)
    Configurability
    6.4
    (1 ratings)
    10.0
    (2 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    10.0
    (1 ratings)
    Ease of integration
    7.3
    (1 ratings)
    9.7
    (2 ratings)
    Product Scalability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    10.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Google BigQuerySlack
    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
    Salesforce
    Slack is ideal for Scrum and agile teams that need continuous communication during sprint planning, daily stand-ups, backlog refinement, testing, and retrospectives. Slack is well-suited for maintaining team knowledge through searchable conversations and dedicated channels, where experienced team members help onboard new QA analysts.
    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
    Salesforce
    • Customer issues: Threads feature allows us to group a particular issue in a single thread and discuss within that thread. I can use the thread link to embed in JIRA ticket for tracking progress in JIRA (which is our details engineering tracking system).
    • Ability to add folder to Slack channel helps keep important information, documents easily accessible. e.g., we use this to keep a "ramp up" folder that can be used by any new joiner.
    • Global search is effective when I forget which group a particular message was in.
    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
    Salesforce
    • Would love a better integration with GitHub. For example, notifications when your PR is updated, when review is requested, @-mention in comments, etc.
    • Improved "Later" tab, for example the ability to create to-do lists or making the "Later" tab into a more powerful to-do list (annotate items with notes)
    • More powerful integrations, e.g. Google Calendar could render a calendar view within Slack, rather than sending the daily schedule
    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
    Salesforce
    To be more transparent, I give 10 because Slack serves our collaboration needs. It provide us a good platform for team communication relaying important update within the company, it has even mobile app where you can install in your phone to monitor any updates within that team that needs your immediate attention and intervention.
    Incentivized
    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
    Salesforce
    Slack has good usability. Devs that are not familiar with the platform are able to jump into conversations and start sharing code and links within just minutes. Non developers are also able to understand the layout such as the Project Managers that are keeping the projects on track. We have not seen any tickets where employees are having trouble understanding Slack.
    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
    Salesforce
    Yes, the app works 24/7. I don't even recall having any period that we could not use since the implementation. Even the maintenance periods are barely noticeable and our work is not impacted by it when it happens.
    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
    Salesforce
    Slack is a soft app, we don't have many issues with it. I recall one or two people complaining about something during our usage period, but I didn't have a bad experience. When the app is slow, usually the problem is with my computer or my internet. The app works just fine.
    Incentivized
    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
    Salesforce
    Whenever I've had to troubleshoot an issue with Slack (which, to be honest, has not happened very often), their online documentation has been easy to locate, easy to understand, and effective in resolving my issue. Slack's ever-growing popularity also means that there's a large community of practice out there that can be depended upon.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Salesforce
    I was not part of the implementation team, but I recall being 100% happy and excited to learn and use a new tool. I'm still am to be honest.
    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
    Salesforce
    I like Slack better than ClickUp, because I would spend 30-60 minutes a day updating my ClickUp tasks. The way ClickUp was used was very micromanaging. I billed by the hour, so I was willing to put in the time to alert the boss what tasks I was working on.
    One of my jobs used Hive - I mostly just ran it in the background in case anyone messaged me. I did not use it often.
    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
    Salesforce
    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
    Salesforce
    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
    Salesforce
    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
    Salesforce
    • Slack has been incredibly helpful in connecting various tech apps and ecosystems, creating a more streamlined and responsive process.
    • Slack has made it significantly easier to communicate with our team members across multiple time zones, creating a more engaging environment for our all-remote team.
    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.