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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)

    Wondershare PDFelement

    Score5 out of 10
    N/APDFelement is a document management solution from Wondershare Software headquartered in China.

    $79.99

    per year per user

    Pricing
    Google BigQueryWondershare PDFelement
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    PDFelement
    79.99USD
    per year per user
    PDFelement
    129.99USD
    one-time fee per user
    Offerings
    Pricing Offerings
    Google BigQueryWondershare PDFelement
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—For Individuals: Yearly Plan: $79.99/user; 2-Year Plan: $109.99/user Perpetual Plan(one-time): $129.99/user For Teams: Yearly plan starts at $109/year for 1 user For Education: Yearly Plan: $47.99/user; Perpetual Plan(one-time): $99.99/user
    More Pricing Information
    Community Pulse
    Google BigQueryWondershare PDFelement
    Considered Both Products
    Google
    No answer on this topic
    Wondershare Technology
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    78%
    Would buy again
    7 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    88%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    78%
    Happy with the feature set
    7 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    78%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    89%
    Implementation went as expected
    8 Answers
    Features
    Google BigQueryWondershare PDFelement
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Wondershare PDFelement
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Wondershare PDFelement
    -
    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 BigQueryWondershare PDFelement
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    Score7.8 out of 10
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    Score8.9 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Esker
    Score7.4 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Tungsten Capture
    Score9.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryWondershare PDFelement
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.1
    (55 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    10.0
    (1 ratings)
    Usability
    6.6
    (6 ratings)
    8.6
    (5 ratings)
    Availability
    7.3
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.4
    (1 ratings)
    7.5
    (2 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.4
    (8 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Configurability
    6.4
    (1 ratings)
    10.0
    (1 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    7.5
    (2 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 BigQueryWondershare PDFelement
    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
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    Wondershare Technology
    It's a wonderful asset to have when you lose your original Word doc, etc. so you can still edit a document (and not have to start from ground zero). That feature alone is why I bought this product and why I will continue to recommend.
    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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    Wondershare Technology
    • PDFelement provides the same powerful features as Adobe Acrobat, but the interface is easy to learn and use. The product is extremely intuitive, which saves our clients from becoming frustrated as they learn the product.
    • PDFelement Pro's ability to create fillable forms with the click of one button is one of our clients favorite features. I was impressed at how accurately PDFelement performed this task and the ease with which these fields can be edited, if needed.
    • Security is more important than ever these days and PDFelement provides the encryption and permissions to protect documents quickly and easily. I especially like the batch encrypt feature, this makes it easy to protect multiple files with the same password.
    • PDFelement makes it easy to extract the data from form fields. This is a huge plus for our clients.
    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
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    Wondershare Technology
    • I wish there was a lighter program for just reviewing a document and then to transition seamlessly to an editing mode. It takes a few seconds longer to load than Preview on my Mac, and based on that frustration, I use Preview to view documents.
    • A lower price for upgrades.
    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
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    Wondershare Technology
    Excellent, easy to use product
    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
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    Wondershare Technology
    I am a novice and I am using it like a pro because it is so easy to work with
    Incentivized
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    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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    Wondershare Technology
    No issues. Works perfect
    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
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    Wondershare Technology
    There is a lot of learning. Although some of the functions you can probably pick up relatively quickly, some of them, including compressing the size or using a different language, remains a myth to me.
    Incentivized
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    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
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    Wondershare Technology
    PDFelement is always in contact with me, by email and by giving constant tips and recommendations. But what makes me give you a 10, was the outstanding support service received on July 9th by one of your support professionals Amanda, who helped me with a tariff issue, and makes me [rate] your product.
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Wondershare Technology
    Just pay, download, activate and start using it
    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
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    Wondershare Technology
    I didn't try or buy other programs, but did a good bit of research on them. I went with PDFelement because of the lower pricing, and because of the rich features I learned it had. I also appreciated the great customer service I received from reps in the community forums, which showed me they have an aim in keeping their customers happy - which is always good to have when using fairly complex technical apps.
    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
    Wondershare Technology
    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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    Wondershare Technology
    Super easy Word style layout and format.
    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
    Wondershare Technology
    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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    Wondershare Technology
    • For me, it's been very important to me that my business as a pet sitter and dog walker not leave a negative footprint on the environment. To that end, it's been very important that i'm able to do as much paperwork as possible without using paper. PDFelement is wonderful at helping me meet those goals.
    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.

    Wondershare PDFelement Screenshots

    Screenshot of AI-powered support for chatting with PDFs/summaring/proofreading/rewriting/explaining/translating the PDF file content.Screenshot of file conversion to and from PDF format in high quality.Screenshot of PDF generation, which can be done from images, Word documents, and various formats, including batch create.Screenshot of certificate-based legal signatures, and documents can be sent to bulk signers, and signatures collected and tracked from anywhere, on any device.Screenshot of text recognition, from scanned PDFs and images.Screenshot of the PDF text editor, with images, forms, and pages.