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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

    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
    Google Cloud BigtableNeo4j
    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)
    Aura Professional
    $65
    per month
    Community Edition
    Free
    Enterprise Edition
    Contact Sales
    Aura Free
    Free
    Aura Enterprise
    Contact Sales
    Offerings
    Pricing Offerings
    Google Cloud BigtableNeo4j
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Google Cloud BigtableNeo4j
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    HBase
    Score7.3 out of 10
    No answers on this topic
    Enterprises
    Cassandra
    Score9 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud BigtableNeo4j
    Likelihood to Recommend
    10.0
    (2 ratings)
    9.0
    (10 ratings)
    Usability
    9.0
    (2 ratings)
    9.0
    (2 ratings)
    Support Rating
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud BigtableNeo4j
    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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    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
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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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    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.
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    Cons
    Google
    • Global replication
    • Complete SQL support
    • Size limit of 1MB
    Incentivized
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    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
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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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    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
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    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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    Neo Technologies
    No answers on this topic
    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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    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
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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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    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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