TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Contact about Vena

Please fill out the form below to get in touch.

Vena Solutions

Connect with Vena Solutions

What are you interested in?

Already have an account?

You hereby consent to have TrustRadius share the information supplied on this form with Vena Solutions so that Vena Solutions and TrustRadius may contact you in regard to the information requested.

Add Product

Recommended Comparisons

    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)

    Vena

    Score8.1 out of 10
    Mid-Size Companies (51-1,000 employees)
    Vena Solutions provides a financial process automation solution to automate Corporate Performance Management, accounting and budgeting, Regulatory & Compliance, and other finance-related processes. It is scaled for medium to large-sized organizations.N/A
    Pricing
    Google BigQueryVena
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    Professional
    N/A
    Complete
    N/A
    Offerings
    Pricing Offerings
    Google BigQueryVena
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—The Professional Plan is the most flexible way to get started quickly and can be added onto as a company grows. The plan includes: Vena Platform, Customer Success Manager, Standard Support and Customer Portal. Complete Plan includes everything in Professional, plus: Vena Insights, Premium Support, Sandbox Environment, and Expert Managed Services. For a limited time, new customers who use Microsoft Dynamics 365 Business Central (Online) as their primary ERP can get a free year of Vena and 40% off implementation costs. Vena also offers special pricing for not for profit organizations. To learn more, speak to an expert.
    More Pricing Information
    Community Pulse
    Google BigQueryVena
    Considered Both Products
    Google
    No answer on this topic
    Vena Solutions
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    96%
    Would buy again
    315 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    98%
    Delivers good value for the price
    279 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    97%
    Happy with the feature set
    320 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    42 Answers
    93%
    Lived up to sales and marketing promises
    220 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    84%
    Implementation went as expected
    227 Answers
    Features
    Google BigQueryVena
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Vena
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Vena
    -
    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
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    7.9
    176 Ratings
    5% above category average
    Pixel Perfect reports00 Ratings8.1110 Ratings
    Customizable dashboards00 Ratings8.1157 Ratings
    Report Formatting Templates00 Ratings7.6167 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.0
    290 Ratings
    3% above category average
    Drill-down analysis00 Ratings8.3277 Ratings
    Formatting capabilities00 Ratings8.3277 Ratings
    Integration with R or other statistical packages00 Ratings7.4107 Ratings
    Report sharing and collaboration00 Ratings8.0247 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.0
    232 Ratings
    1% above category average
    Publish to Web00 Ratings7.6131 Ratings
    Publish to PDF00 Ratings8.1170 Ratings
    Report Versioning00 Ratings8.1194 Ratings
    Report Delivery Scheduling00 Ratings8.1171 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.2
    160 Ratings
    11% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.7143 Ratings
    Location Analytics / Geographic Visualization00 Ratings8.6117 Ratings
    Predictive Analytics00 Ratings7.5133 Ratings
    Pattern Recognition and Data Mining00 Ratings8.071 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.4
    280 Ratings
    0% above category average
    Multi-User Support (named login)00 Ratings8.1265 Ratings
    Role-Based Security Model00 Ratings8.4265 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.4266 Ratings
    Report-Level Access Control00 Ratings8.5129 Ratings
    Single Sign-On (SSO)00 Ratings8.5205 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    7.2
    142 Ratings
    2% below category average
    Responsive Design for Web Access00 Ratings6.9137 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings7.5122 Ratings
    Budgeting, Planning, and Forecasting
    Comparison of Budgeting, Planning, and Forecasting features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.4
    350 Ratings
    4% above category average
    Long-term financial planning00 Ratings8.6317 Ratings
    Financial budgeting00 Ratings8.7336 Ratings
    Forecasting00 Ratings8.6324 Ratings
    Scenario modeling00 Ratings8.0290 Ratings
    Management reporting00 Ratings8.2326 Ratings
    Consolidation and Close
    Comparison of Consolidation and Close features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    7.2
    303 Ratings
    8% below category average
    Financial data consolidation00 Ratings7.4263 Ratings
    Journal entries and reports00 Ratings6.9195 Ratings
    Multi-currency management00 Ratings6.8178 Ratings
    Intercompany Eliminations00 Ratings7.6175 Ratings
    Minority Ownership00 Ratings5.9125 Ratings
    Local and consolidated reporting00 Ratings7.3225 Ratings
    Detailed Audit Trails00 Ratings8.4265 Ratings
    Financial Reporting and Compliance
    Comparison of Financial Reporting and Compliance features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.3
    330 Ratings
    2% above category average
    Financial Statement Reporting00 Ratings8.4296 Ratings
    Management Reporting00 Ratings8.4309 Ratings
    Excel-based Reporting00 Ratings9.0319 Ratings
    Automated board and financial reporting00 Ratings8.5249 Ratings
    XBRL support for regulatory filing00 Ratings7.199 Ratings
    Analytics and Reporting
    Comparison of Analytics and Reporting features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.3
    262 Ratings
    10% above category average
    Personalized dashboards00 Ratings8.2223 Ratings
    Color-coded scorecards00 Ratings9.1169 Ratings
    KPIs00 Ratings8.5195 Ratings
    Cost and profitability analysis00 Ratings8.0209 Ratings
    Key Performance Indicator setting00 Ratings8.2191 Ratings
    Benchmarking with external data00 Ratings7.9147 Ratings
    Integration
    Comparison of Integration features of Google BigQuery and Vena
    Feature
    Google BigQuery
    -
    Ratings
    Vena
    8.1
    320 Ratings
    0% above category average
    Flat file integration00 Ratings7.8260 Ratings
    Excel data integration00 Ratings9.0300 Ratings
    Direct links to 3rd-party data sources00 Ratings7.6237 Ratings
    Best Alternatives
    Google BigQueryVena
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    No answers on this topic
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    IBM Planning Analytics
    Score8.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Oracle Fusion Cloud Enterprise Performance Management
    Score7.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryVena
    Likelihood to Recommend
    9.0
    (79 ratings)
    8.6
    (347 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.9
    (26 ratings)
    Usability
    6.6
    (6 ratings)
    8.7
    (39 ratings)
    Availability
    7.3
    (1 ratings)
    8.7
    (10 ratings)
    Performance
    6.4
    (1 ratings)
    8.4
    (9 ratings)
    Support Rating
    4.8
    (11 ratings)
    8.6
    (107 ratings)
    In-Person Training
    -
    (0 ratings)
    8.7
    (5 ratings)
    Online Training
    -
    (0 ratings)
    8.1
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.2
    (10 ratings)
    Configurability
    6.4
    (1 ratings)
    9.0
    (6 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    8.4
    (5 ratings)
    Product Scalability
    7.3
    (1 ratings)
    8.5
    (9 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    8.1
    (6 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (6 ratings)
    User Testimonials
    Google BigQueryVena
    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
    Vena Solutions
    It is well suited for planning, budgeting, and forecasting. Using its capabilities also allows you to use it for reporting, whether it's month-end reporting or other reporting where you want to rely on data from a source that can be nicely presented and adjusted in Excel.
    Incentivized
    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
    Vena Solutions
    • The Admin function of Vena, being able to set up the users in the user categories and the different groups and assigning the groups and the task bindings, is particularly easy and very helpful because as we have so many different departments and disciplines in our organization, we do need to establish pretty specific user access so this process works really well for us.
    • Running reports in Vena is fairly easy, and we do enjoy being able to just push a button and get some budget versus actuals.
    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
    Read full review
    Vena Solutions
    • Create an bottom-line functionality.
    • Have another license between power user and contributor that allows building reports that aren't ad hoc, but don't have all the admin rights of a power user.
    • Have a session on best in class Workforce Planning prior to implementation.
    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
    Vena Solutions
    Vena has become an integral part of finance and our daily process. Without it we would take longer to prepare results and decisions will be delayed. Vena has given the whole organization more visibility of results and budgets so that all departments participate more actively in managing their budgets rather than it being the sole responsibility of finance.
    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
    Vena Solutions
    Vena is somehow easy to manipulate. If you want to map accounts, or change mapping. there are clear instructions and guidance. and also Vena AI is on the way, so i think we can leverage it more and let AI help us mapping and check errors. overall a very good product and easy to learn and set up.
    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
    Vena Solutions
    Vena is seemingly always available. They plan maintenance windows well in advance and always off hours (typically over a weekend) and communicate clearly throughout maintenance about what will be affected. Over 5 years of using the product, I can only remember one time when the platform was unavailable (I believe due to an underlying server hosting issue from their provider), and they resolved the issue and had everything up and running again within 8 hours.
    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
    Vena Solutions
    The performance is dependent on how much data and calculations are involved and how complex the security settings are. A simple template or report loads in seconds. A complex template or report can take a while. If there are many users with complex security settings, that will be a factor in the load time.
    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
    Vena Solutions
    When I reach out to our support team, they are always able to fix any issues we are having in a timely manner. It is always resolved quickly which proves that customer support always helps out our support team with any issues so they can in turn help us quickly
    Incentivized
    Read full review
    In-Person Training
    Google
    No answers on this topic
    Vena Solutions
    This is the best way to learn and buy-in. The in person effect gives students both a hands on approach but an instruction to be there to customize assistance and understanding. In person also builds greater buy in with your future team on creators. However if your audience is better at on line learning this is another good option.
    Incentivized
    Read full review
    Online Training
    Google
    No answers on this topic
    Vena Solutions
    The training was structured as a group training to learn the basics of creating a data model and mapping a template. While we had nearly 10 participants, I was the only actual implementer so we probably didn't actually need the training and could have just learned the initial skills from the implementation consultant. Two years later, when we hired a new team member, they completed several modules in Vena Academy (a self paced learning course) which allowed them to get up to speed on the basics with just a bit of supplemental guidance from me as our existing admin.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Vena Solutions
    The Vena consultant had great knowledge of both the Vena solution and Excel and Excel functions. He was able to help suggest ways to build our templates that met our requirements using Excel functions we had not previously considered using. And we have been able to use the Excel information he provided in other ways outside of Vena. He was very patient and flexible as we learned the Vena tool and created templates
    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
    Vena Solutions
    Previously used Synario for long-term forecasting. Ultimately moved to Vena for this to keep budgeting and forecasting together in a single solution. Vena's system is much easier to learn on the admin side since it is Excel-based so the transition was pretty simple. Previously used Jenzabar with JICS for budgeting. Vena's budget system is more user-friendly for end users and more flexible so it works better for our specific needs. Vena's reporting system is easier to use and customize.
    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
    Vena Solutions
    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
    Vena Solutions
    Vena solutios is a software that provides robust tools that help different departments in their statistics and we can visualize a lot of promising and visually attractive data. Vena Solutions' level of scalability is high and sustainable over time thanks to the fabulous technical support that is ready to help us at all times
    Incentivized
    Read full review
    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
    Vena Solutions
    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
    Vena Solutions
    • Vena has helped save time by reducing the manual work involved with budgeting, reporting, and variance analysis. Instead of spending as much time organizing data and reconciling spreadsheets, I can focus more on reviewing results and making informed decisions. It has improved collaboration between teams and provided better visibility into financial performance, creating more efficient processes overall.
    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.

    Vena Screenshots

    Screenshot of Operation Expenses - Predictive AnalysisScreenshot of Allocations DashboardScreenshot of Vena Add InScreenshot of Power BI DashboardScreenshot of Operational Expenses - Drill through analysisScreenshot of Process Status Dashboard