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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud Dataflow

    Score9.1 out of 10
    N/AGoogle offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A

    Oracle Data Integrator (ODI)

    Score8.8 out of 10
    N/AOracle Data Integrator is an ELT data integrator designed with interoperability other Oracle programs. The program focuses on a high-performance capacity to support Big Data use within Oracle.N/A
    Pricing
    Google Cloud DataflowOracle Data Integrator (ODI)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud DataflowOracle Data Integrator (ODI)
    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
    Google Cloud DataflowOracle Data Integrator (ODI)
    Considered Both Products
    Google
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    90%
    Would buy again
    9 Answers
    Delivers good value for the price
    No answers on this topic
    88%
    Delivers good value for the price
    7 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    8 Answers
    Features
    Google Cloud DataflowOracle Data Integrator (ODI)
    Streaming Analytics
    Comparison of Streaming Analytics features of Google Cloud Dataflow and Oracle Data Integrator (ODI)
    Feature
    Google Cloud Dataflow
    7.3
    2 Ratings
    7% below category average
    Oracle Data Integrator (ODI)
    -
    Ratings
    Real-Time Data Analysis8.02 Ratings00 Ratings
    Visualization Dashboards5.01 Ratings00 Ratings
    Data Ingestion from Multiple Data Sources9.02 Ratings00 Ratings
    Low Latency9.02 Ratings00 Ratings
    Integrated Development Tools6.01 Ratings00 Ratings
    Data wrangling and preparation7.01 Ratings00 Ratings
    Linear Scale-Out8.02 Ratings00 Ratings
    Machine Learning Automation6.02 Ratings00 Ratings
    Data Enrichment8.02 Ratings00 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of Google Cloud Dataflow and Oracle Data Integrator (ODI)
    Feature
    Google Cloud Dataflow
    -
    Ratings
    Oracle Data Integrator (ODI)
    9.6
    11 Ratings
    14% above category average
    Connect to traditional data sources00 Ratings9.911 Ratings
    Connecto to Big Data and NoSQL00 Ratings9.39 Ratings
    Data Transformations
    Comparison of Data Transformations features of Google Cloud Dataflow and Oracle Data Integrator (ODI)
    Feature
    Google Cloud Dataflow
    -
    Ratings
    Oracle Data Integrator (ODI)
    9.9
    11 Ratings
    20% above category average
    Simple transformations00 Ratings9.911 Ratings
    Complex transformations00 Ratings9.911 Ratings
    Data Modeling
    Comparison of Data Modeling features of Google Cloud Dataflow and Oracle Data Integrator (ODI)
    Feature
    Google Cloud Dataflow
    -
    Ratings
    Oracle Data Integrator (ODI)
    9.2
    11 Ratings
    15% above category average
    Data model creation00 Ratings9.310 Ratings
    Metadata management00 Ratings9.510 Ratings
    Business rules and workflow00 Ratings9.111 Ratings
    Collaboration00 Ratings8.510 Ratings
    Testing and debugging00 Ratings9.311 Ratings
    Data Governance
    Comparison of Data Governance features of Google Cloud Dataflow and Oracle Data Integrator (ODI)
    Feature
    Google Cloud Dataflow
    -
    Ratings
    Oracle Data Integrator (ODI)
    9.1
    9 Ratings
    12% above category average
    Integration with data quality tools00 Ratings9.59 Ratings
    Integration with MDM tools00 Ratings8.77 Ratings
    Best Alternatives
    Google Cloud DataflowOracle Data Integrator (ODI)
    Small Businesses
    Amazon Kinesis
    Score9.9 out of 10
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    No answers on this topic
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    Spotfire Streaming
    Score5 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud DataflowOracle Data Integrator (ODI)
    Likelihood to Recommend
    9.0
    (2 ratings)
    8.0
    (29 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    10.0
    (4 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    Google Cloud DataflowOracle Data Integrator (ODI)
    Likelihood to Recommend
    Google
    It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
    Incentivized
    Read full review
    Oracle
    Oracle Data Integrator is well suited in all the situations where you need to integrate data from and to different systems/technologies/environments or to schedule some tasks. I've used it on Oracle Database (Data Warehouses or Data Marts), with great loading and transforming performances to accomplish any kind of relational task. This is true for all Oracle applications (like Hyperion Planning, Hyperion Essbase, Hyperion Financial Management, and so on). I've also used it to manage files on different operating systems, to execute procedures in various languages and to read and write data from and to non-Oracle technologies, and I can confirm that its performances have always been very good. It can become less appropriate depending on the expenses that can be afforded by the customer since its license costs are quite high.
    Incentivized
    Read full review
    Pros
    Google
    • Streaming, Real time work load
    • Batch processing
    • Auto scaling
    • flexible pricing
    Read full review
    Oracle
    • Oracle Data Integrator nearly addresses every data issue that one can expect. Oracle Data Integrator is tightly integrated to the Oracle Suite of products. This is one of the major strengths of Oracle Data Integrator. Oracle Data Integrator is part of the Oracle Business Intelligence Applications Suite - which is highly used by various industries. This tool replaced Informatica ETL in Oracle Business Intelligence Applications Suite.
    • Oracle Data Integrator comes with many pre-written data packages. If one has to load data from Excel to Oracle Database, there is a package that is ready available for them - cutting down lot of effort on writing the code. Similarly, there are packages for Oracle to SQL, SQL to Oracle and all other possible combinations. Developers love this feature.
    • Oracle Data Integrator relies highly on the database for processing. This is actually an ELT tool rather than an ETL tool. It first loads all the data into target instance and then transforms it at the expense of database resources. This light footprint makes this tool very special.
    • The other major advantage of Oracle Data Integrator, like any other Oracle products, is a readily available developer pool. As all Oracle products are free to download for demo environments, many organizations prefer to play around with a product before purchasing it. Also, Oracle support and community is a big advantage compared to other vendors.
    Incentivized
    Read full review
    Cons
    Google
    • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
    • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
    • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
    Incentivized
    Read full review
    Oracle
    • ODI does not have an intuitive user interface. It is powerful, but difficult to figure out at first. There is a significant learning curve between usability, proficiency, and mastery of the tool.
    • ODI contains some frustrating bugs. It is Java based and has some caching issues, often requiring you to restart the program before you see your code changes stick.
    • ODI does not have a strong versioning process. It is not intuitive to keep an up to date repository of versioned code packages. This can create versioning issues between environments if you do not have a strong external code versioning process.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    No answers on this topic
    Oracle
    It is maturing and over time will have a good pool of resources. Each new version has addressed the issues of the previous ones. Its getting better and bigger.
    Read full review
    Usability
    Google
    It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    Alternatives Considered
    Google
    Google Cloud Dataproc Cloud Datafusion
    Read full review
    Oracle
    I have used Trifacta Google Data Prep quite a bit. We use Google Cloud Platform across our organization. The tools are very comparable in what they offer. I would say Data Prep has a slight edge in usability and a cleaner UI, but both of the tools have comparable toolsets.
    Incentivized
    Read full review
    Return on Investment
    Google
    • cost saving from managing our own data center for ETL servers
    • consumption based pricing
    • with auto scaling feature, we were able to expand components to support work load
    Read full review
    Oracle
    • From a business intelligence perspective, it allows us to provide users with the necessary data and information to make informed decisions.
    • Compared with other Oracle products and licensing, I do not think the pricing was unreasonable.
    • It is part of a larger install, so for ease of use, we purchased it with other Oracle products.
    Incentivized
    Read full review
    ScreenShots