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Oracle Big Data SQL Cloud Service description
Oracle Big Data SQL Cloud Service lets you analyze data across different systems, including Hadoop and Oracle Database, using your existing SQL skills. It's designed to help all kinds of users, from data scientists to business analysts, access and understand large datasets. With a focus on performance and security, it aims to make big data analysis faster and more accessible within your company.
Who is Oracle Big Data SQL Cloud Service best for
Oracle Big Data SQL Cloud Service helps businesses analyze large datasets across various platforms like Hadoop and Oracle Database using standard SQL. This service is ideal for medium to large enterprises with significant data analysis requirements, particularly in finance and software/IT. It empowers data scientists and business analysts to access and interpret complex data efficiently and securely.
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Ideal for medium to large enterprises (101+ employees), especially those with substantial data analysis needs.
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Suitable for data-driven industries seeking cross-platform data analysis, particularly finance and software/IT.
Oracle Big Data SQL Cloud Service features
| Supported Big Data SQL supports querying data using standard SQL. |
| Supported It supports standard SQL syntax for querying various data stores. |
| Supported Big Data SQL supports Parquet files for storage and querying. |
| Supported Big Data SQL supports multiple databases like Hadoop, NoSQL, and Oracle Database. |
| Supported Big Data SQL supports query optimization with features like Smart Scan, Storage Indexes, and Predicate Pushdown. |
| Supported It supports distributed SQL queries across multiple nodes using data virtualization and a distributed architecture. |
Oracle Big Data SQL Cloud Service pricing
The commentary is based on 1 reviews from Oracle Big Data SQL Cloud Service G2 reviews.
Oracle Big Data SQL Cloud Service is considered a costly solution, especially when compared to open-source alternatives. While it offers robust performance for large datasets, the price point may be a barrier for some users.
Oracle Big Data SQL Cloud Service alternatives
Microsoft SQL ServerBetter for businesses of all sizes needing diverse data analysis. Stronger Microsoft ecosystem integration and mobile business intelligence tools. Wider industry applicability. Has more momentum in website traffic growth.Read more
PrestoDBOpen-source, offering more deployment flexibility and potentially lower cost. Better for small to medium businesses and those in the software, IT, telecommunications, marketing, advertising, and retail industries. A strong Oracle Big Data SQL Cloud Service competitor for those prioritizing scalability and hybrid deployments.Read more
Google Cloud BigQueryServerless architecture eliminates infrastructure management. Built-in machine learning capabilities. Integrates seamlessly with other Google Cloud Platform services. Note that users have reported higher and less predictable costs.Read more
Aqua Data StudioBetter for users working with NoSQL databases and those who need Git integration. Has slower momentum compared to Oracle Big Data SQL Cloud Service.Read more
ClearScape AnalyticsBetter suited for organizations working with complex datasets. Emphasizes in-database analytics for faster processing. Caters to a wider range of company sizes, including small businesses. Has less momentum based on employee growth.Read more
instantOLAPBetter for smaller organizations needing simpler reporting and analysis. Focuses on ease of use and interactive data exploration through customizable reports and charts.Read more
Oracle Big Data SQL Cloud Service FAQ
What is Oracle Big Data SQL Cloud Service and what does Oracle Big Data SQL Cloud Service do?
Oracle Big Data SQL Cloud Service allows you to analyze data across various systems, like Hadoop and Oracle Database, using standard SQL. It's designed for diverse users, offering high performance and security for faster, more accessible big data analysis.
How does Oracle Big Data SQL Cloud Service integrate with other tools?
Oracle Big Data SQL Cloud Service integrates with Hadoop and Oracle Database. It leverages existing SQL skills for querying multiple data stores like NoSQL and utilizes data virtualization for distributed queries. This simplifies cross-database analysis.
What the main competitors of Oracle Big Data SQL Cloud Service?
Top alternatives to Oracle Big Data SQL Cloud Service include Microsoft SQL Server, PrestoDB, and Google Cloud BigQuery. These competitors offer similar capabilities in big data analytics, SQL support, and cross-database compatibility for diverse data analysis needs.
Is Oracle Big Data SQL Cloud Service legit?
Yes, Oracle Big Data SQL Cloud Service is a legitimate product from Oracle. It's a secure cloud service designed for analyzing large datasets using standard SQL. It supports various data sources like Hadoop and Oracle Database, catering to diverse users from data scientists to business analysts.
How much does Oracle Big Data SQL Cloud Service cost?
I cannot find pricing details for Oracle Big Data SQL Cloud Service. Contact Oracle sales for product pricing or explore alternative big data solutions with transparent pricing.
Is Oracle Big Data SQL Cloud Service customer service good?
Users appreciate Oracle Big Data SQL Cloud Service's support and user-friendly interface. However, cost and limited integrations are drawbacks. It effectively handles large datasets, which is beneficial for large projects, although data replication can be slow.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.