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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)

    Oracle GoldenGate

    Score8.7 out of 10
    N/AOracle Cloud Infrastructure (OCI) GoldenGate is a managed service providing a real-time data mesh platform, which uses replication to keep data highly available, and enabling real-time analysis.

    $250

    Per License

    Pricing
    Google BigQueryOracle GoldenGate
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Data Integration
    $250.00
    Per License
    Offerings
    Pricing Offerings
    Google BigQueryOracle GoldenGate
    Free Trial
    YesYes
    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 BigQueryOracle GoldenGate
    Considered Both Products
    Google
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    95%
    Would buy again
    20 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    94%
    Delivers good value for the price
    15 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    95%
    Happy with the feature set
    20 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    100%
    Lived up to sales and marketing promises
    10 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    95%
    Implementation went as expected
    19 Answers
    Features
    Google BigQueryOracle GoldenGate
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Oracle GoldenGate
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Oracle GoldenGate
    -
    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 BigQueryOracle GoldenGate
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Qlik Replicate
    Score10 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Qlik Replicate
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryOracle GoldenGate
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.1
    (41 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    9.2
    (3 ratings)
    Usability
    6.6
    (6 ratings)
    8.6
    (3 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.8
    (3 ratings)
    In-Person Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.6
    (3 ratings)
    Configurability
    6.4
    (1 ratings)
    9.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Product Scalability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Google BigQueryOracle GoldenGate
    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
    Oracle
    I think it's a great product. We apply Oracle GoldenGate to several use cases in our organization. 1. Business Continuity Planning, 2. Query Offloading through data replication to a reporting instance of our data, 3. looking into data transformations to help support various queries for different teams within the business.
    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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    Oracle
    • As the product under the Oracle umbrella, it perfectly and natively supports the Oracle database very well.
    • For the standard scenario and use cases, the configuration is straight-forward (in our case uni-direction copy from source to target).
    • It is robust and the performance meets our SLA, even for a large amount of data volume.
    • The error report is not only detailed but hits the right points, so trouble shooting is easy.
    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
    Oracle
    • The earlier versions of Golden Gate were complex to use as there was no front end. All that works was the command line.
    • The cost of the product can be a detriment to most companies.
    • The product has been augmented over the years and has so many features that it can be overwhelming.
    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
    Oracle
    Oracle GoldenGate is a core part of our business.
    Incentivized
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    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
    Oracle
    Once set up, it's very easy to use and keep running, it's getting to that point that can make it cumbersome to some. Also, depending on the data that you want to replicate, the configuration files can become quite cumbersome to maintain. Learning curve can be high for some who are not as experienced with databases and transactions.
    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
    Oracle
    Oracle GoldenGate has only gone down for us when the data being sent was bad.
    Incentivized
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    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
    Oracle
    Oracle GoldenGate's performance is great for our use cases. Your mileage may vary.
    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
    Oracle
    Oracle Support for Oracle GoldenGate has been quite responsive and quite helpful in the few situations where we've needed it. Furthermore, the documentation on Oracle GoldenGate is so good that we often do not need to contact support with issues as the fix is already documented and able to be run by us without needing to open a ticket.
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Oracle
    We've had Oracle consultants come as well for training days to talk about new features, parts of Oracle GoldenGate we may not be using and things of that nature. The consultants they send are great as they're very knowledgeable about all things Oracle GoldenGate and great resources for any questions or concerns you may have with the product.
    Incentivized
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    Online Training
    Google
    No answers on this topic
    Oracle
    We used Oracle University for our Oracle Golden Gate Training and it was top notch. We were able to turn our whole DBA team to Oracle GoldenGate newbies to Oracle GoldenGate troubleshooting experts in a matter of a few days, while this obviously did not come cheap, the company felt that it was worth the investment.
    Incentivized
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    Implementation Rating
    Google
    No answers on this topic
    Oracle
    If Oracle GoldenGate is new to your organization, expose as many DBAs as possible to it. Having your whole team fluent in it will overcome early operational hurdles and allow it to more quickly become an accepted and supported part of your supported platform for your team that will enable the business to use it to its fullest.
    Incentivized
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    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
    Oracle
    We use Oracle Data Guard as a backup tool, but not for data replication. Data Guard is not suited for real-time data replication in our non-normalized reporting database nor for the database we are using for our upgrade project, as Data Guard is not able to transform data and is not able to synchronize data into different schemas, which is necessary for our project. Additionally, our project database is on Oracle 12g not 11i: I am not 100% sure Data Guard is able to replicate from 11i to 12g
    Incentivized
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    Contract Terms and Pricing Model
    Google
    None so far. Very satisfied with the transparency on contract terms and pricing model.
    Read full review
    Oracle
    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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    Oracle
    Have never had any issues with scaling Oracle GoldenGate itself, however Oracle GoldenGate Monitor does have scaling issues, but with Oracle GoldenGate now able to be monitored by Oracle Enterprise Manager, this is no longer an issue, in my opinion.
    Incentivized
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    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
    Oracle
    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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    Oracle
    • In earlier versions, DDL support was limited as well as the need of primary key constraints in the source tables. This made me create partitions, sub-partitions, truncatations and perform other operations upon they are performed in source systems and I need to discuss with source system administrators and need to convince them to let them create primary keys for replicated tables.
    • But both issues are solved now.
    • Installation is straightforward, easy.
    • Deployed everything within Oracle Data Integrator.
    • Developing 1000 of ODI interfaces for loading into Operational Data Store took not more than 100 man/days. But, adding them to Golden Gate is taking not more than 5 man/days.
    • Management Pack and VeriData are additional packs for your management and data verification needs.
    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.