What users are saying about
56 Ratings
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Score 8.8 out of 100
178 Ratings
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Score 9 out of 100

Feature Set Ratings

    Database-as-a-Service

    Databricks Lakehouse Platform

    Feature Set Not Supported
    N/A
    9.2

    Google BigQuery

    92%
    Google BigQuery ranks higher in 6/6 features

    Automatic software patching

    N/A
    0 Ratings
    9.1
    91%
    17 Ratings

    Database scalability

    N/A
    0 Ratings
    9.8
    98%
    29 Ratings

    Automated backups

    N/A
    0 Ratings
    9.4
    94%
    24 Ratings

    Database security provisions

    N/A
    0 Ratings
    9.2
    92%
    24 Ratings

    Monitoring and metrics

    N/A
    0 Ratings
    8.3
    83%
    25 Ratings

    Automatic host deployment

    N/A
    0 Ratings
    9.1
    91%
    14 Ratings

    Attribute Ratings

    • Databricks Lakehouse Platform (Unified Analytics Platform) is rated higher in 1 area: Professional Services
    • Google BigQuery is rated higher in 4 areas: Likelihood to Recommend, Usability, Support Rating, Contract Terms and Pricing Model

    Likelihood to Recommend

    8.7

    Databricks Lakehouse Platform

    87%
    15 Ratings
    9.6

    Google BigQuery

    96%
    29 Ratings

    Usability

    9.0

    Databricks Lakehouse Platform

    90%
    3 Ratings
    9.5

    Google BigQuery

    95%
    3 Ratings

    Support Rating

    7.5

    Databricks Lakehouse Platform

    75%
    2 Ratings
    9.8

    Google BigQuery

    98%
    18 Ratings

    Contract Terms and Pricing Model

    8.0

    Databricks Lakehouse Platform

    80%
    1 Rating
    10.0

    Google BigQuery

    100%
    1 Rating

    Professional Services

    10.0

    Databricks Lakehouse Platform

    100%
    1 Rating
    8.5

    Google BigQuery

    85%
    2 Ratings

    Likelihood to Recommend

    Databricks Lakehouse Platform

    If you need a managed big data megastore, which has native integration with highly optimized Apache Spark Engine and native integration with MLflow, go for Databricks Lakehouse Platform. The Databricks Lakehouse Platform is a breeze to use and analytics capabilities are supported out of the box. You will find it a bit difficult to manage code in notebooks but you will get used to it soon.
    Anonymous | TrustRadius Reviewer

    Google BigQuery

    If you are using Google suites like Analytics 360, Big Query can be a very useful tool for storing & querying your data because of its seem less integration within Google environment. Also if your organisation has large set of data and you want fast data processing, then only it makes sense to move to Google BigQuery otherwise there are cheaper alternatives available.
    Sameera Srivastava | TrustRadius Reviewer

    Pros

    Databricks Lakehouse Platform

    • Process raw data in One Lake (S3) env to relational tables and views
    • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
    • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
    • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
    Anonymous | TrustRadius Reviewer

    Google BigQuery

    • Huge plus point if you have idea running SQL scripts.
    • The ability to store and manage multiple data warehouses is a big plus point which helps a lot for growing businesses.
    • Easy integration with tools like Data Studio and Google Analytics which provides great data warehouse and data management solutions.
    Rounak Verma | TrustRadius Reviewer

    Cons

    Databricks Lakehouse Platform

    • Better Localized Testing
    • When they were primarily OSS Spark; it was easier to test/manage releases versus the newer DB Runtime. Wish there was more configuration in Runtime less pick a version.
    • Graphing Support went non-existent; when it was one of their compelling general engine.
    Anonymous | TrustRadius Reviewer

    Google BigQuery

    • One issue with Google Cloud Storage is its price. For one to have that premium Google Cloud Storage, for the purpose of massive storage, he/she must have adequate cash. Otherwise, Google Cloud Storage is a safe and perfect online storage platform.
    • The only thing that can come to mind that would be annoying with this software was that sometimes when trying to share files on the Cloud with coworkers, it would just not share at all, or there would be a massive delay in when I shared them and when they received them. Other than that though, everything is perfect with this.
    Sam Lepak | TrustRadius Reviewer

    Pricing Details

    Databricks Lakehouse Platform

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $0.07 Per DBU

    Databricks Lakehouse Platform Editions & Modules

    Edition
    Standard$0.071
    Premium$0.101
    Enterprise$0.131
    1. Per DBU
    Additional Pricing Details

    Google BigQuery

    General

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services
    Entry-level set up fee?
    No

    Starting Price

    $4 per 100 slots

    Google BigQuery Editions & Modules

    Edition
    Queries (On-Demand)$51
    Queries (Hourly Flex Slots)$42
    Queries (Monthly Flat Rate)$20002
    Queries (Annual Flat Rate)$1,7002
    1. per TB
    2. per 100 slots
    Additional Pricing Details

    Usability

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 9.0
    Based on 3 answers
    Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

    in terms of graph generation and interaction it could improve their UI and UX
    Anonymous | TrustRadius Reviewer

    Google BigQuery

    Google BigQuery 9.5
    Based on 3 answers
    web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
    Richard Atkins | TrustRadius Reviewer

    Support Rating

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 7.5
    Based on 2 answers
    One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
    Jonatan Bouchard | TrustRadius Reviewer

    Google BigQuery

    Google BigQuery 9.8
    Based on 18 answers
    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.
    Tristan Dobbs | TrustRadius Reviewer

    Alternatives Considered

    Databricks Lakehouse Platform

    Databricks has a much better edge than Synapse in hundred different ways. Databricks has Photon engine, faster available release in cloud and databricks does not run on Open source spark version so better optimization, better performance and better agility and all kind of performance boost can be achieved in Databricks rather Open source synapse spark
    Anonymous | TrustRadius Reviewer

    Google BigQuery

    Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
    Csaba Toth | TrustRadius Reviewer

    Contract Terms and Pricing Model

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 8.0
    Based on 1 answer
    The problem with this tool and all other ones that are at the top of the industry, it's so expensive that soon as another one will be on the market and deliver the same or different value, it will be catastrophic for them. So you get the fact that they are cashing every dime right now like SAS or Hadoop once did. Now, look at them
    Jonatan Bouchard | TrustRadius Reviewer

    Google BigQuery

    Google BigQuery 10.0
    Based on 1 answer
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Anonymous | TrustRadius Reviewer

    Professional Services

    Databricks Lakehouse Platform

    Databricks Lakehouse Platform 10.0
    Based on 1 answer
    Again, another level of professional services, this is not their biggest strength but this is the cherry on top. I couldn't think about any other professional services like this one. Now I'm talking about meaningful services that really help out our project and delivery.
    Jonatan Bouchard | TrustRadius Reviewer

    Google BigQuery

    Google BigQuery 8.5
    Based on 2 answers
    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.
    Anonymous | TrustRadius Reviewer

    Return on Investment

    Databricks Lakehouse Platform

    • Machine learning is a very new concept and not many universities offer to teach it. My school and a few others have been utilizing Databricks as one of the tools to teach and learn machine learning. By doing this, my university is creating a strong future workforce for the job market.
    Ann Le | TrustRadius Reviewer

    Google BigQuery

    • Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
    • Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
    • Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
    Alex Andrews | TrustRadius Reviewer

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