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Databricks Data Intelligence Platform vs. Oracle Database

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Databricks Data Intelligence Platform

    Score9 out of 10
    N/ADatabricks offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service provides a platform for data pipelines, data lakes, and data platforms.

    $0.07

    Per DBU

    Oracle Database

    Score8.2 out of 10
    N/AOracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

    $0.05

    per hour

    Pricing
    Databricks Data Intelligence PlatformOracle Database
    Editions & Modules
    Standard
    $0.07
    Per DBU
    Premium
    $0.10
    Per DBU
    Enterprise
    $0.13
    Per DBU
    Oracle Base Database Service - Standard
    $0.0538
    per hour
    Oracle Base Database Service - Enterprise
    $0.1075
    per hour
    Oracle Base Database Service - High Performance
    $0.2218
    per hour
    Standard Edition
    Contact Sales
    Enterprise Edition
    Contact Sales
    Personal Edition
    Contact Sales
    Offerings
    Pricing Offerings
    Databricks Data Intelligence PlatformOracle Database
    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
    Community Pulse
    Databricks Data Intelligence PlatformOracle Database
    Considered Both Products
    Databricks
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    16 Answers
    86%
    Would buy again
    24 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    16 Answers
    83%
    Delivers good value for the price
    19 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    15 Answers
    89%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    10 Answers
    88%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    92%
    Implementation went as expected
    12 Answers
    91%
    Implementation went as expected
    21 Answers
    Features
    Databricks Data Intelligence PlatformOracle Database
    Relational Databases
    Comparison of Relational Databases features of Databricks Data Intelligence Platform and Oracle Database
    Feature
    Databricks Data Intelligence Platform
    -
    Ratings
    Oracle Database
    8.3
    7 Ratings
    2% above category average
    ACID compliance00 Ratings8.47 Ratings
    Database monitoring00 Ratings8.77 Ratings
    Database locking00 Ratings8.77 Ratings
    Encryption00 Ratings9.06 Ratings
    Disaster recovery00 Ratings8.86 Ratings
    Flexible deployment00 Ratings6.47 Ratings
    Multiple datatypes00 Ratings8.17 Ratings
    Best Alternatives
    Databricks Data Intelligence PlatformOracle Database
    Small Businesses
    No answers on this topic
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    SAP Business Data Cloud
    Score8.6 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    SAP Business Data Cloud
    Score8.6 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Databricks Data Intelligence PlatformOracle Database
    Likelihood to Recommend
    9.4
    (21 ratings)
    8.2
    (199 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (6 ratings)
    Usability
    9.7
    (7 ratings)
    7.6
    (13 ratings)
    Support Rating
    8.7
    (2 ratings)
    7.0
    (5 ratings)
    Implementation Rating
    -
    (0 ratings)
    9.6
    (3 ratings)
    Contract Terms and Pricing Model
    8.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Databricks Data Intelligence PlatformOracle Database
    Likelihood to Recommend
    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
    Read full review
    Oracle
    We migrated from NoSQL to an Oracle database. One of the reasons was robust backup and recovery options available in the Oracle database, which provide zero data loss. A transactional database like Oracle is a better fit for our use case than NoSQL. On a large scale, deployment was evaluated as a cheaper option than the NoSQL engine. This conclusion came even after considering Oracle license is expensive.
    Incentivized
    Read full review
    Pros
    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
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    Oracle
    • Supports most of the Operating Systems like Unix, Linux and Windows Server.
    • It works well in high load environment under intense parallel transactions setup.
    • Highly reliable DBMS, especially RAC is very much reliable.
    • Well managed and predictable release of security patches.
    • We have highly scaled it from on-prem to a cloud cluster environment for our product.
    • One of the best-performing DBMSs on Linux machines under test delivers high throughput (QPS).
    Incentivized
    Read full review
    Cons
    Databricks
    • Sometimes, when multiple jobs depend on each other in different environments, it is not always easy to see the full workflow in one place.
    • It is sometimes difficult to determine which job or cluster contributes more to the overall cost.
    • For beginners, cluster configuration may be a little difficult. So more recommendation in the platform can help.
    Incentivized
    Read full review
    Oracle
    • The memory demand and management makes it impossible to run it in a container.
    • It is hard to perform local unit testing with Oracle even using the personal edition (aggressive all the available memory grab for itself).
    • Lack of built in database migrations (e.g. as Flyway).
    • The need to install the Oracle client in addition to its drivers.
    • The cost of running it, especially in the Cloud.
    • Comes with very spartan community grade client/management tools whereas the commercial offerings tend to demand a premium price.
    Incentivized
    Read full review
    Likelihood to Renew
    Databricks
    No answers on this topic
    Oracle
    There is a lot of sunk cost in a product like Oracle 12c. It is doing a great job, it would not provide us much benefit to switch to another product even if it did the same thing due to the work involved in making such a switch. It would not be cost effective.
    Incentivized
    Read full review
    Usability
    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
    Oracle
    Many of the powerful options can be auto-configured but there are still many things to take into account at the moment of installing and configuring an Oracle Database, compared with SQL Server or other databases. At the same time, that extra complexity allows for detailed configuration and guarantees performance, scalability, availability and security.
    Incentivized
    Read full review
    Support Rating
    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
    Oracle
    1. I have very good experience with Oracle Database support team. Oracle support team has pool of talented Oracle Analyst resources in different regions. To name a few regions - EMEA, Asia, USA(EST, MST, PST), Australia. Their support staffs are very supportive, well trained, and customer focused. Whenever I open Oracle Sev1 SR(service request), I always get prompt update on my case timely. 2. Oracle has zoom call and chat session option linked to Oracle SR. Whenever you are in Oracle portal - you can chat with the Oracle Analyst who is working on your case. You can request for Oracle zoom call thru which you can share the your problem server screen in no time. This is very nice as it saves lot of time and energy in case you have to follow up with oracle support for your case. 3.Oracle has excellent knowledge base in which all the customer databases critical problems and their solutions are well documented. It is very easy to follow without consulting to support team at first.
    Incentivized
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    Implementation Rating
    Databricks
    No answers on this topic
    Oracle
    Overall the implementation went very well and after that everything came out as expected - in terms of performance and scalability. People should always install and upgrade a stable version for production with the latest patch set updates, test properly as much as possible, and should have a backup plan if anything unexpected happens
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    Alternatives Considered
    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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    Oracle
    Because of a rich user base and support for any critical issue, this is one of the best options to choose. In case the project has a TCO issue, it can compromise and choose Postgres as the best alternative. SQL server is also good and easy to code and maintain but performance is not as good as the Oracle
    Incentivized
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    Return on Investment
    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
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    Oracle
    • Multiple applications can use the same database and still get high performance
    • Licensing cost is still a concern compared to the other options available in the market that are very very inexpensive
    • Almost a maintenance free database
    • Oracle Grid makes life easy in terms of monitoring and managing the databases
    Incentivized
    Read full review
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