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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

    Rockset

    Score1.1 out of 10
    N/ARockset is a serverless search and analytics engine that does fast SQL on NoSQL data from Kafka, DynamoDB, S3 and more. According to the vendor, it delivers millisecond-latency SQL over TBs of raw data, without any ETL. Rockset integrates with the user's database, data stream or data lake to continuously ingest new data without requiring a schema, while providing full SQL support for filtering, aggregations and joining streaming data with other data sets. Rockset powers data-driven applications…N/A
    Pricing
    Google Cloud DataflowRockset
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud DataflowRockset
    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
    Features
    Google Cloud DataflowRockset
    Streaming Analytics
    Comparison of Streaming Analytics features of Google Cloud Dataflow and Rockset
    Feature
    Google Cloud Dataflow
    7.3
    2 Ratings
    7% below category average
    Rockset
    -
    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
    Best Alternatives
    Google Cloud DataflowRockset
    Small Businesses
    Amazon Kinesis
    Score9.9 out of 10
    Elasticsearch
    Score8.5 out of 10
    Medium-sized Companies
    No answers on this topic
    Elasticsearch
    Score8.5 out of 10
    Enterprises
    Spotfire Streaming
    Score5 out of 10
    Amazon CloudSearch
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud DataflowRockset
    Likelihood to Recommend
    9.0
    (2 ratings)
    9.0
    (1 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud DataflowRockset
    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
    Rockset
    1. Usage based billing - helpful in creating query lambdas and workflow around them. 2. Fast data refresh and scheduled running of queries is required. 3. Wherever real-time data is in play in terms of visibility.
    Incentivized
    Read full review
    Pros
    Google
    • Streaming, Real time work load
    • Batch processing
    • Auto scaling
    • flexible pricing
    Read full review
    Rockset
    • Fast ingest and real-time indexing
    • Complex SQL queries run really fast
    • Lower cost in terms of deployment.
    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
    Rockset
    • User interface
    • AI in queries, auto-generated queries
    • Graphing tools
    Incentivized
    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
    Rockset
    No answers on this topic
    Alternatives Considered
    Google
    Google Cloud Dataproc Cloud Datafusion
    Read full review
    Rockset
    No answers on this topic
    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
    Rockset
    • Didn't need to invest in an external billing software.
    • Major customer feature ask was fulfilled - realtime usage overview
    Incentivized
    Read full review
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