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Google Cloud Bigtable vs. Vertica Analytics Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Bigtable

    Score9.7 out of 10
    N/AGoogle's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.

    $0.03

    per month

    Vertica Analytics Database

    Score10 out of 10
    N/AThe Vertica Analytics Platform supplies enterprise data warehouses with big data analytics capabilities and modernization. Vertica was acquired and supported by OpenText, then sold to Rocket Software in 2026.N/A
    Pricing
    Google Cloud BigtableVertica Analytics Database
    Editions & Modules
    Backup Storage
    $0.026
    per month per GB
    HDD storage
    $0.026
    per month per GB
    SSD storage
    $0.17
    per month per GB
    Nodes
    $0.65/hour
    per month per node (minimum 1 nodes)
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud BigtableVertica Analytics Database
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Google Cloud BigtableVertica Analytics Database
    Small Businesses
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    Medium-sized Companies
    HBase
    Score7.3 out of 10
    Snowflake
    Score8.7 out of 10
    Enterprises
    Cassandra
    Score9 out of 10
    Snowflake
    Score8.7 out of 10
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    User Ratings
    Google Cloud BigtableVertica Analytics Database
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.0
    (7 ratings)
    Usability
    9.0
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    9.0
    (1 ratings)
    7.9
    (2 ratings)
    User Testimonials
    Google Cloud BigtableVertica Analytics Database
    Likelihood to Recommend
    Google
    It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
    Incentivized
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    Rocket Software
    Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
    Incentivized
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    Pros
    Google
    • Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
    • Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
    • Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
    Incentivized
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    Rocket Software
    • Extremely fast query performance - Vertica is one of the fastest query engines out there.
    • Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
    • Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.
    Incentivized
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    Cons
    Google
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
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    Rocket Software
    • Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
    • Managing large workloads (concurrent queries) is a bit challenging.
    • Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
    • Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
    Incentivized
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    Usability
    Google
    For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
    Incentivized
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    Rocket Software
    No answers on this topic
    Support Rating
    Google
    Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
    Incentivized
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    Rocket Software
    I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
    Incentivized
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    Alternatives Considered
    Google
    As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
    Incentivized
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    Rocket Software
    Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.
    Incentivized
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    Return on Investment
    Google
    • Building new features that can leverage storage on the edge
    • Realtime decision making
    • Data enrichment
    Incentivized
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    Rocket Software
    • Positive impact on ROI by being able to get customer insights in real-time.
    • Positive ROI through reduced time to set-up and maintain Vertica instances.
    Incentivized
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