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Astra DB, now part of IBM watsonx.data vs. Google Cloud Bigtable

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Astra DB, now part of IBM watsonx.data

    Score8.8 out of 10
    N/AAstra DB is a vector database for developers. In 2025 Datastax, the developer and supporter of Astra DB, was acquired. Astra DB is now available as a component of the IBM watsonx.data Multicloud offering.N/A

    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

    Pricing
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Editions & Modules
    No answers on this topic
    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)
    Offerings
    Pricing Offerings
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Considered Both Products
    Discontinued Products
    Chose Astra DB, now part of IBM watsonx.data
    We know Astra is built on Cassandra / Kubernetes / Stargate and can work on any cloud. The competitors we reviewed are cloud specific and create a lock in. We also have the option to run Cassandra / Stargate ourselves if we wanted to. The competitors don’t give that option.
    Incentivized
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    46 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    45 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    45 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    98%
    Lived up to sales and marketing promises
    40 Answers
    No answers on this topic
    Implementation went as expected
    98%
    Implementation went as expected
    44 Answers
    No answers on this topic
    Features
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Vector Database
    Comparison of Vector Database features of Astra DB, now part of IBM watsonx.data and Google Cloud Bigtable
    Feature
    Astra DB, now part of IBM watsonx.data
    8.0
    12 Ratings
    1% above category average
    Google Cloud Bigtable
    -
    Ratings
    Vector Data Connection8.212 Ratings00 Ratings
    Vector Data Editing8.56 Ratings00 Ratings
    Attribute Management7.710 Ratings00 Ratings
    Geospatial Analysis8.26 Ratings00 Ratings
    Geometric Transformations8.06 Ratings00 Ratings
    Vector Data Visualization8.07 Ratings00 Ratings
    Coordinate Reference System Management:7.96 Ratings00 Ratings
    Data Import/Export8.011 Ratings00 Ratings
    Symbolization and Styling8.35 Ratings00 Ratings
    Data Sharing and Collaboration7.69 Ratings00 Ratings
    Best Alternatives
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    HBase
    Score7.3 out of 10
    Enterprises
    No answers on this topic
    Cassandra
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Likelihood to Recommend
    8.7
    (46 ratings)
    10.0
    (2 ratings)
    Usability
    7.8
    (4 ratings)
    9.0
    (2 ratings)
    Support Rating
    8.9
    (4 ratings)
    9.0
    (1 ratings)
    Product Scalability
    8.6
    (44 ratings)
    -
    (0 ratings)
    User Testimonials
    Astra DB, now part of IBM watsonx.dataGoogle Cloud Bigtable
    Likelihood to Recommend
    Discontinued Products
    We've been super happy with Astra DB. It's been extremely well-suited for our vector search needs as described in previous responses. With Astra DB’s high-performance vector search, Maester’s AI dynamically optimizes responses in real-time, adapting to new user interactions without requiring costly retraining cycles.
    Incentivized
    Read full review
    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
    Read full review
    Pros
    Discontinued Products
    • We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
    • Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
    • A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
    Incentivized
    Read full review
    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
    Read full review
    Cons
    Discontinued Products
    • Need better fine-grained Security options.
    • The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken.
    • They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications.
    Incentivized
    Read full review
    Google
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
    Read full review
    Usability
    Discontinued Products
    It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
    Incentivized
    Read full review
    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
    Read full review
    Support Rating
    Discontinued Products
    Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
    Incentivized
    Read full review
    Google
    Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
    Incentivized
    Read full review
    Alternatives Considered
    Discontinued Products
    Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
    Incentivized
    Read full review
    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
    Read full review
    Scalability
    Discontinued Products
    We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
    Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
    Incentivized
    Read full review
    Google
    No answers on this topic
    Return on Investment
    Discontinued Products
    • Better uptime due to the managed service having no outages
    • Less technical debt because we don't need to worry about upgrading our Cassandra clusters
    • Lower cost on infrastructure as a whole
    • Quick and easy to integrate vector search into our tech stack
    Incentivized
    Read full review
    Google
    • Building new features that can leverage storage on the edge
    • Realtime decision making
    • Data enrichment
    Incentivized
    Read full review
    ScreenShots