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Astra DB, now part of IBM watsonx.data vs. Neo4j

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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

    Neo4j

    Score9 out of 10
    N/ANeo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.

    $65

    per month

    Pricing
    Astra DB, now part of IBM watsonx.dataNeo4j
    Editions & Modules
    No answers on this topic
    Aura Professional
    $65
    per month
    Community Edition
    Free
    Enterprise Edition
    Contact Sales
    Aura Free
    Free
    Aura Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Astra DB, now part of IBM watsonx.dataNeo4j
    Free Trial
    YesYes
    Free/Freemium Version
    YesYes
    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.dataNeo4j
    Considered Both Products
    Discontinued Products
    Chose Astra DB, now part of IBM watsonx.data
    Incentivized
    Neo Technologies
    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.dataNeo4j
    Vector Database
    Comparison of Vector Database features of Astra DB, now part of IBM watsonx.data and Neo4j
    Feature
    Astra DB, now part of IBM watsonx.data
    8.0
    12 Ratings
    1% above category average
    Neo4j
    -
    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
    User Ratings
    Astra DB, now part of IBM watsonx.dataNeo4j
    Likelihood to Recommend
    8.7
    (46 ratings)
    9.0
    (10 ratings)
    Usability
    7.8
    (4 ratings)
    9.0
    (2 ratings)
    Support Rating
    8.9
    (4 ratings)
    -
    (0 ratings)
    Product Scalability
    8.6
    (44 ratings)
    -
    (0 ratings)
    User Testimonials
    Astra DB, now part of IBM watsonx.dataNeo4j
    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
    Neo Technologies
    Neo4J is great for creating network graphs or illustrating how things are related. It is also good for finding individuals or things that have greater influence than others in a system. It is not appropriate if you have standard data sets that can be analyzed using conventional methods or visualized using Tableau, for example.
    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
    Neo Technologies
    • Mature Query language, I found Cypher QL to be mature in handling all sorts of problems we throw at it. Its expressive enough to be intuitive while providing rich features for various scenarios.
    • Native support for REST API, that makes interacting with Neo4J intuitive and easy.
    • Support for Procedures in Java, procedures are custom code that could be added to the Neo4J to write custom querying of data. The best part about the procedures is it could be invoked using the REST API. This allows us to overcome any shortcomings from their Cypher query language.
    • Nice UI and interface for executing the Query and visualizing the response.
    • UI access controlled by User credentials allows for neat access controls.
    • Awesome free community edition for small-scale projects.
    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
    Neo Technologies
    • One of the hardest challenges that Neo4j had to solve was the horizontal scaling problem. I am not updated on recent developments, but at the time of my use, I couldn't find a viable solution.
    • Neo4j does not play with other open source APIs like Blueprint. You have to use the native Neo4j API.
    • There wasn't a visual tool to see your data. Of course, third party tools are always available, but I would have loved something which came with the Neo4j bundle. I love that Docker comes bundled with Kitematic, so it's not wrong to hope that Neo4j could also ship with some default visualization software.
    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
    Neo Technologies
    Learning cypher was super easy coming from a SQL background. Furthermore, the docs Neo4j provides on their website make it really easy to pull up a reference, guide or a quick example. The mac app they provide is also really well designed with good visualisation tools, with the ability to easily use colour, line thickness etc to help navigate your 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
    Neo Technologies
    No answers on this topic
    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
    Neo Technologies
    Neo4j is a graph store and has different use cases compared to another NoSQL Document store like MongoDB. MongoDB is a bad choice when joins are common as existing operators for joining two documents (similar to tables in a relational store) as Mongo 3.5 use SQL like join algorithms which are expensive. MongoDB is a great choice when distributed schemaless rich document structures are important requirements. Cross document transaction support is not native to MongoDB yet, whereas Neo4J is ACID complaint with all its operations.
    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
    Neo Technologies
    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
    Neo Technologies
    • Positive: Less complex queries on graph structures, than in relational databases.
    • Negative: maintenance is a huge deal, things doesn't work and break, requiring lengthy restore operations.
    Read full review
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