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Amazon S3 (Simple Storage Service) vs. Databricks Data Intelligence Platform

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Amazon S3

    Score8.8 out of 10
    N/AAmazon S3 is a cloud-based object storage service from Amazon Web Services. It's key features are storage management and monitoring, access management and security, data querying, and data transfer.N/A

    Databricks Data Intelligence Platform

    Score8.4 out of 10
    N/ADatabricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization. Its Data Science Workspace is a collaborative environment for practitioners to run…

    $0.07

    Per DBU

    Pricing
    Amazon S3Databricks Data Intelligence Platform
    Editions & Modules
    No answers on this topic
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Offerings
    Pricing Offerings
    Amazon S3Databricks Data Intelligence Platform
    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
    Community Pulse
    Amazon S3Databricks Data Intelligence Platform
    Considered Both Products
    Amazon AWS
    No answer on this topic
    Databricks
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    40 Answers
    100%
    Would buy again
    13 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    39 Answers
    100%
    Delivers good value for the price
    13 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    40 Answers
    92%
    Happy with the feature set
    12 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    36 Answers
    100%
    Lived up to sales and marketing promises
    9 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    38 Answers
    90%
    Implementation went as expected
    9 Answers
    Features
    Amazon S3Databricks Data Intelligence Platform
    Data Center Backup
    Comparison of Data Center Backup features of Amazon S3 (Simple Storage Service) and Databricks Data Intelligence Platform
    Feature
    Amazon S3 (Simple Storage Service)
    9.0
    8 Ratings
    8% above category average
    Databricks Data Intelligence Platform
    -
    Ratings
    Universal recovery9.07 Ratings00 Ratings
    Instant recovery7.97 Ratings00 Ratings
    Recovery verification8.05 Ratings00 Ratings
    Business application protection8.65 Ratings00 Ratings
    Multiple backup destinations9.47 Ratings00 Ratings
    Incremental backup identification9.33 Ratings00 Ratings
    Backup to the cloud9.48 Ratings00 Ratings
    Deduplication and file compression8.73 Ratings00 Ratings
    Snapshots9.55 Ratings00 Ratings
    Flexible deployment9.28 Ratings00 Ratings
    Management dashboard8.18 Ratings00 Ratings
    Platform support8.78 Ratings00 Ratings
    Retention options10.05 Ratings00 Ratings
    Encryption9.86 Ratings00 Ratings
    Enterprise Backup
    Comparison of Enterprise Backup features of Amazon S3 (Simple Storage Service) and Databricks Data Intelligence Platform
    Feature
    Amazon S3 (Simple Storage Service)
    8.8
    8 Ratings
    7% above category average
    Databricks Data Intelligence Platform
    -
    Ratings
    Continuous data protection9.48 Ratings00 Ratings
    Replication9.27 Ratings00 Ratings
    Operational reporting and analytics8.48 Ratings00 Ratings
    Malware protection8.02 Ratings00 Ratings
    Multi-location capabilities9.58 Ratings00 Ratings
    Ransomware Recovery8.01 Ratings00 Ratings
    Best Alternatives
    Amazon S3Databricks Data Intelligence Platform
    Small Businesses
    NAKIVO Backup & Replication
    Score9.7 out of 10
    No answers on this topic
    Medium-sized Companies
    Druva Security Cloud
    Score9.7 out of 10
    No answers on this topic
    Enterprises
    Druva Security Cloud
    Score9.7 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Amazon S3Databricks Data Intelligence Platform
    Likelihood to Recommend
    9.2
    (74 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    7.6
    (12 ratings)
    10.0
    (4 ratings)
    Support Rating
    9.8
    (21 ratings)
    8.7
    (2 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    Professional Services
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Amazon S3Databricks Data Intelligence Platform
    Likelihood to Recommend
    Amazon AWS
    Amazon S3 is a great service to safely backup your data where redundancy is guaranteed and the cost is fair. We use Amazon S3 for data that we backup and hope we never need to access but in the case of a catastrophic or even small slip of the finger with the delete command we know our data and our client's data is safely backed up by Amazon S3. Transferring data into Amazon S3 is free but transferring data out has an associated, albeit low, cost per GB. This needs to be kept in mind if you plan on transferring out a lot of data frequently. There may be other cost effective options although Amazon S3 prices are really low per GB. Transferring 150TB would cost approximately $50 per month.
    Incentivized
    Read full review
    Databricks
    Medium to Large data throughput shops will benefit the most from Databricks Spark processing. Smaller use cases may find the barrier to entry a bit too high for casual use cases. Some of the overhead to kicking off a Spark compute job can actually lead to your workloads taking longer, but past a certain point the performance returns cannot be beat.
    Incentivized
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    Pros
    Amazon AWS
    • Fantastic developer API, including AWS command line and library utilities.
    • Strong integration with the AWS ecosystem, especially with regards to access permissions.
    • It's astoundingly stable- you can trust it'll stay online and available for anywhere in the world.
    • Its static website hosting feature is a hidden gem-- it provides perhaps the cheapest, most stable, most high-performing static web hosting available in PaaS.
    Incentivized
    Read full review
    Databricks
    • Process raw data in One Lake (S3) env to relational tables and views
    • Share notebooks with our business analysts so that they can use the queries and generate value out of the data
    • Try out PySpark and Spark SQL queries on raw data before using them in our Spark jobs
    • Modern day ETL operations made easy using Databricks. Provide access mechanism for different set of customers
    Incentivized
    Read full review
    Cons
    Amazon AWS
    • Web console can be very confusing and challenging to use, especially for new users
    • Bucket policies are very flexible, but the composability of the security rules can be very confusing to get right, often leading to security rules in use on buckets other than what you believe they are
    Incentivized
    Read full review
    Databricks
    • Connect my local code in Visual code to my Databricks Lakehouse Platform cluster so I can run the code on the cluster. The old databricks-connect approach has many bugs and is hard to set up. The new Databricks Lakehouse Platform extension on Visual Code, doesn't allow the developers to debug their code line by line (only we can run the code).
    • Maybe have a specific Databricks Lakehouse Platform IDE that can be used by Databricks Lakehouse Platform users to develop locally.
    • Visualization in MLFLOW experiment can be enhanced
    Incentivized
    Read full review
    Likelihood to Renew
    Amazon AWS
    Due to princing, availability and scalability.
    Incentivized
    Read full review
    Databricks
    No answers on this topic
    Usability
    Amazon AWS
    It is tricky to get it all set up correctly with policies and getting the IAM settings right. There is also a lot of lifecycle config you can do in terms of moving data to cold/glacier storage. It is also not to be confused with being a OneDrive or SharePoint replacement, they each have their own place in our environment, and S3 is used more by the IT team and accessed by our PHP applications. It is not necessarily used by an average everyday user for storing their pictures or documents, etc.
    Incentivized
    Read full review
    Databricks
    Because it is an amazing platform for designing experiments and delivering a deep dive analysis that requires execution of highly complex queries, as well as it allows to share the information and insights across the company with their shared workspaces, while keeping it secured.

    in terms of graph generation and interaction it could improve their UI and UX
    Incentivized
    Read full review
    Support Rating
    Amazon AWS
    AWS has always been quick to resolve any support ticket raised. S3 is no exception. We have only ever used it once to get a clarification regarding the costs involved when data is transferred between S3 and other AWS services or the public internet. We got a response from AWS support team within a day.
    Incentivized
    Read full review
    Databricks
    One of the best customer and technology support that I have ever experienced in my career. You pay for what you get and you get the Rolls Royce. It reminds me of the customer support of SAS in the 2000s when the tools were reaching some limits and their engineer wanted to know more about what we were doing, long before "data science" was even a name. Databricks truly embraces the partnership with their customer and help them on any given challenge.
    Read full review
    Alternatives Considered
    Amazon AWS
    Overall, we found that Amazon S3 provided a lot of backend features Google Cloud Storage (GCS) simply couldn't compare to. GCS was way more expensive and really did not live up to it. In terms of setup, Google Cloud Storage may have Amazon S3 beat, however, as it is more of a pseudo advanced version of Google Drive, that was not a hard feat for it to achieve. Overall, evaluating GCS, in comparison to S3, was an utter disappointment.
    Incentivized
    Read full review
    Databricks
    The most important differentiating factor for Databricks Lakehouse Platform from these other platforms is support for ACID transactions and the time travel feature. Also, native integration with managed MLflow is a plus. EMR, Cloudera, and Hortonworks are not as optimized when it comes to Spark Job Execution. Other platforms need to be self-managed, which is another huge hassle.
    Incentivized
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    Return on Investment
    Amazon AWS
    • It practically eliminated some real heavy storage servers from our premises and reduced maintenance cost.
    • The excellent durability and reliability make sure the return of money you invested in.
    • If the objects which are not active or stale, one needs to remove them. Those objects keep adding cost to each billing cycle. If you are handling a really big infrastructure, sometimes this creates quite a huge bill for preserving un-necessary objects/documents.
    Incentivized
    Read full review
    Databricks
    • The ability to spin up a BIG Data platform with little infrastructure overhead allows us to focus on business value not admin
    • DB has the ability to terminate/time out instances which helps manage cost.
    • The ability to quickly access typical hard to build data scenarios easily is a strength.
    Incentivized
    Read full review
    ScreenShots