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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Astra DB

    Score8.2 out of 10
    N/AAstra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.N/A

    MongoDB

    Score8.5 out of 10
    N/AMongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

    $0.10

    million reads

    Pricing
    Astra DBMongoDB
    Editions & Modules
    No answers on this topic
    Shared
    $0
    per month
    Serverless
    $0.10million reads
    million reads
    Dedicated
    $57
    per month
    Offerings
    Pricing Offerings
    Astra DBMongoDB
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsFully managed, global cloud database on AWS, Azure, and GCP
    More Pricing Information
    Community Pulse
    Astra DBMongoDB
    Considered Both Products
    DataStax
    Chose Astra DB
    Astra DB, which is built on Apache Cassandra, is well-known for its smooth horizontal scalability, making it an ideal solution for applications with quickly rising data and traffic. Although MongoDB Atlas provides high availability, Astra DB's multi-region capability can …
    Incentivized
    Chose Astra DB
    I have previously used and evaluated MongoDB and MySQL for various projects before choosing AstraDB for my chatbot application. While MongoDB and MySQL are both powerful and popular database solutions, AstraDB stood out for specific reasons in the context of my project.MongoDB, …
    Incentivized
    Chose Astra DB
    Astra DB is at par with each one of them as it's scalability and availability is unmatched. The best thing about Astra DB is it's managed service takes care of database operations, freeing up development teams to work on application features. With its scalable architecture and …
    Incentivized
    Chose Astra DB
    Since I was familiar with CQL, choosing Astra DB was the only smart choice for me. It is equally capable as all the other cloud-based fully managed database services currently out in the market. It provides very good documentation also for people who are new to it, making it …
    Incentivized
    Chose Astra DB
    Astra DB supports Cassandra which is very important and of key notice. We work on Cassandra , thus we need Astra DB. Astra DB has high availability and scalability. The customer service provided by Astra DB is really helpful and the response is always available. Astra DB has …
    Incentivized
    Chose Astra DB
    Astra DB is more optimized as compared to its rivals in many cases such as the replication provides with maximum uptime.
    Incentivized
    Chose Astra DB
    Astra DB supports apache cassandra which in itself is a plus point. It's primary database model has a wide column store. Deployment of Astra Db takes minutes in AWS, Google Cloud, Azure. Also it is schema free. It also has advanced replication for edge computing. In other …
    Incentivized
    Chose Astra DB
    The tools astra db provides are much more effective and efficient, especially the integration allowed within astra db. One can customize the choice of tools as per their requirements.
    Incentivized
    Chose Astra DB
    Astra DB allows connection and integration with multiple tools and apache products, which gives it an edge against other products in the market.
    Incentivized
    Chose Astra DB
    The integration compatibility Astra DB provides in unmatchable.
    Incentivized
    Chose Astra DB
    Astra DB has a better database system than Mongo DB and that why me and my team prefers using Astra DB over all the database tools available. The Apache Cassandra database is what attracts the user to Astra DB rather than other databases. Wide Column storing database is what we …
    Incentivized
    Chose Astra DB
    Astra Db combines the power of tools and sdk's over the use of cassandra which makes it better than most options out there.
    Incentivized
    Chose Astra DB
    Some advantages of Cassandra by itself over the other solutions is being masterless and column oriented. About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set …
    Incentivized
    Chose Astra DB
    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 …
    Incentivized
    Chose Astra DB
    We liked the definitive structure to schema data types and the independence from tying ourselves to a specific cloud provider. We also preferred a solution that is not a blackbox and we have sone understanding of what is happening under the hood.
    Incentivized
    Chose Astra DB
    Free plan of AstaDB was convenient for us to start development without initial cost spending. Free features comparably to DynamoDB, CosmosDB and Scylla are richer and efficient to start development.
    Incentivized
    MongoDB
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    40 Answers
    100%
    Would buy again
    12 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    39 Answers
    100%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    39 Answers
    100%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    38 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    Astra DBMongoDB
    Vector Database
    Comparison of Vector Database features of Astra DB and MongoDB
    Feature
    Astra DB
    6.8
    6 Ratings
    0% below category average
    MongoDB
    -
    Ratings
    Vector Data Connection8.16 Ratings00 Ratings
    Vector Data Editing6.52 Ratings00 Ratings
    Attribute Management9.13 Ratings00 Ratings
    Geospatial Analysis6.41 Ratings00 Ratings
    Geometric Transformations6.41 Ratings00 Ratings
    Vector Data Visualization6.34 Ratings00 Ratings
    Coordinate Reference System Management:5.52 Ratings00 Ratings
    Data Import/Export6.35 Ratings00 Ratings
    Symbolization and Styling6.41 Ratings00 Ratings
    Data Sharing and Collaboration7.44 Ratings00 Ratings
    NoSQL Databases
    Comparison of NoSQL Databases features of Astra DB and MongoDB
    Feature
    Astra DB
    -
    Ratings
    MongoDB
    10.0
    39 Ratings
    12% above category average
    Performance00 Ratings10.039 Ratings
    Availability00 Ratings10.039 Ratings
    Concurrency00 Ratings10.039 Ratings
    Security00 Ratings10.039 Ratings
    Scalability00 Ratings10.039 Ratings
    Data model flexibility00 Ratings10.039 Ratings
    Deployment model flexibility00 Ratings10.038 Ratings
    Best Alternatives
    Astra DBMongoDB
    Small Businesses
    No answers on this topic
    Redis Software
    Score8.3 out of 10
    Medium-sized Companies
    No answers on this topic
    IBM Cloudant
    Score7.4 out of 10
    Enterprises
    No answers on this topic
    IBM Cloudant
    Score7.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Astra DBMongoDB
    Likelihood to Recommend
    8.2
    (40 ratings)
    10.0
    (79 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (67 ratings)
    Usability
    7.8
    (4 ratings)
    10.0
    (15 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    8.9
    (4 ratings)
    9.6
    (13 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.4
    (2 ratings)
    Product Scalability
    8.0
    (38 ratings)
    -
    (0 ratings)
    User Testimonials
    Astra DBMongoDB
    Likelihood to Recommend
    DataStax
    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
    MongoDB
    If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.
    Incentivized
    Read full review
    Pros
    DataStax
    • 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
    MongoDB
    • Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
    • You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
    • Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.
    Incentivized
    Read full review
    Cons
    DataStax
    • 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
    MongoDB
    • An aggregate pipeline can be a bit overwhelming as a newcomer.
    • There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
    • Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.
    Incentivized
    Read full review
    Likelihood to Renew
    DataStax
    No answers on this topic
    MongoDB
    I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.
    Incentivized
    Read full review
    Usability
    DataStax
    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
    MongoDB
    NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.
    Incentivized
    Read full review
    Support Rating
    DataStax
    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
    MongoDB
    Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.
    Incentivized
    Read full review
    Implementation Rating
    DataStax
    No answers on this topic
    MongoDB
    While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.
    Incentivized
    Read full review
    Alternatives Considered
    DataStax
    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
    MongoDB
    We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.
    Read full review
    Scalability
    DataStax
    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
    MongoDB
    No answers on this topic
    Return on Investment
    DataStax
    • 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
    MongoDB
    • Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
    • You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB
    Read full review
    ScreenShots

    MongoDB Screenshots

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