TrustRadius: an HG Insights company

Save this comparison

Save this comparison

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)

    Mimecast Cloud Archive

    Score9.1 out of 10
    N/AMimecast Cloud Archive provides an archive storage solution for data retention, as well as search and retrieval of email, attachments and MS Teams conversations. The cloud archiving solution offers search capabilities for employees and automated tools for administrators that simplify management of mailboxes, e-discovery and litigation support.N/A
    Pricing
    Google BigQueryMimecast Cloud Archive
    Editions & Modules
    Standard edition
    $0.04 / slot hour
    Enterprise edition
    $0.06 / slot hour
    Enterprise Plus edition
    $0.10 / slot hour
    No answers on this topic
    Offerings
    Pricing Offerings
    Google BigQueryMimecast Cloud Archive
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    Google BigQueryMimecast Cloud Archive
    Considered Both Products
    Google
    No answer on this topic
    Mimecast
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    64 Answers
    100%
    Would buy again
    24 Answers
    Delivers good value for the price
    97%
    Delivers good value for the price
    56 Answers
    96%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    97%
    Happy with the feature set
    63 Answers
    100%
    Happy with the feature set
    24 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
    20 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    59 Answers
    94%
    Implementation went as expected
    17 Answers
    Features
    Google BigQueryMimecast Cloud Archive
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google BigQuery and Mimecast Cloud Archive
    Feature
    Google BigQuery
    8.5
    80 Ratings
    1% above category average
    Mimecast Cloud Archive
    -
    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 BigQueryMimecast Cloud Archive
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Amazon S3 Glacier
    Score9 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Google Vault
    Score9.5 out of 10
    Enterprises
    Google Cloud SQL
    Score8.7 out of 10
    Microsoft Exchange Online Archiving
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google BigQueryMimecast Cloud Archive
    Likelihood to Recommend
    9.0
    (79 ratings)
    9.3
    (27 ratings)
    Likelihood to Renew
    8.1
    (5 ratings)
    8.5
    (5 ratings)
    Usability
    6.6
    (6 ratings)
    7.6
    (17 ratings)
    Availability
    7.3
    (1 ratings)
    8.5
    (17 ratings)
    Performance
    6.4
    (1 ratings)
    7.8
    (17 ratings)
    Support Rating
    4.8
    (11 ratings)
    6.8
    (4 ratings)
    Configurability
    6.4
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    10.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    7.3
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    8.2
    (2 ratings)
    -
    (0 ratings)
    User Testimonials
    Google BigQueryMimecast Cloud Archive
    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
    Mimecast
    If someone is looking for a cloud archive solution, I believe Mimecast Cloud Archive has one of the best. I have worked with a few competitors in the past but the reason we have continued with Mimecast Cloud Archive is because of the capability, cost to value, and support that we receive. They also have other capabilities that can add security to your environment that you can access from the same portal.
    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
    Mimecast
    • Sync and Recover is a great tool for when you need to recover emails quickly or in bulk.
    • The archive is nested in the mail protection admin portal, so it is easy to navigate between the recent mail in the protection portal (limited window of time) and the archive when searching for emails during investigations or troubleshooting.
    • The additional protection feature allows scanning of emails that land in the archive. This helps with internal to internal emails that might have been malicious, for instance from a compromised account.
    • The Mimecast for Outlook add-in is nice, although you can access it from the web as well, for seeing your own archives. If users are missing an email, they can look there on their own without submitting an IT support ticket.
    • We do not allow end users to restore their own, but that is a feature that exists as well.
    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
    Mimecast
    • The system runs slowly at times.
    • There are so many features, it can be difficult to find exactly how to perform some actions.
    • Emails are not automatically shown in their native format when searched you must click on the email and then request it be formatted in the proper format (HTML, plaintext, etc.).
    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
    Mimecast
    The product is an excellent tool for our organisation. With one incident in the past it helped clear any wrong doing when an external party had their email hacked. We where able to show that when the email left our org it was in tact with out modification and only after it arrived in the partners org was it changed. This one incident alone has shown how valuable the tool is.
    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
    Mimecast
    The archive is easy to use and the searching is highly customizable. You can easily search based on timeframe, sender, recipient, words, phrases, and attachments. The ability to search keywords within attachments, body, and subject line is incredibly helpful. We're able to quickly and easily find what we're looking for.
    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
    Mimecast
    There is never an issue. Everytime I have needed to access my own personal search archive or globally search across the whole business it works each time. I cannot recall a time where the service was down when needed to be used and all our staff use it daily.
    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
    Mimecast
    The stability of the tool is the biggest factor, it has a fantastic uptime and the loading speed is exceptional. Long gone are the days of waiting for Outlook to open up a traditional PST archive, I can simply click, find what I need and go, usually, before outlook has opened the archive. It is an exceptionally efficient tool.
    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
    Mimecast
    It does a good job. The support team of the product was good and responsive and was also able to fix the issues I was experiencing at the time. It isn't perfect and takes some time to set up properly in the environment but once set up the product does what it is supposed to do which is what you are paying for.
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    Mimecast
    We used Mimecast professional services for the implementation and it was flawless as we were migrating from a competitor's product. The only downside was the amount of time required to ingest all the data as this was coming from a few different sources and in some cases it took months to migrate and index all the content. Apart from that the process was very well guided, with plenty of communication all throughout and without any major issues or downtime.
    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
    Mimecast
    One of the big features of Mimecast is the ability to send large files. We used to use CItrix Sharefile for this but switched over to Mimecast's LFS for one large reason...since we are archiving all of our mail in Mimeast anyway we would have wanted these attachments, even if large, also available to if we go back to look at old emails. However just for usability sake I think Citrix Sharefile's large file send is more polished and probably works a little better. We just choose to use the Mimecast so we had a one stop shop when it came to email archiving
    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
    Mimecast
    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
    Mimecast
    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
    Mimecast
    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
    Mimecast
    • I can't put an exact dollar figure on it but Mimecast makes our company more efficient when it comes to email search and discovery.
    • Being heavily regulated it's great to have peace of mind when we're audited and I can just say we have Mimecast. Check that box off!
    • We were quite relieved when Mimecast stopped inbound attachments infected with WannaCry.
    • I enjoy the benefits of a cloud service so I don't have to manage hardware, deal with upgrades, or figure out complicated licensing schemes.
    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.

    Mimecast Cloud Archive Screenshots

    Product screenshotProduct screenshot