Best Big Data Platforms for Oracle Cloud Infrastructure

Compare the Top Big Data Platforms that integrate with Oracle Cloud Infrastructure as of October 2025

This a list of Big Data platforms that integrate with Oracle Cloud Infrastructure. Use the filters on the left to add additional filters for products that have integrations with Oracle Cloud Infrastructure. View the products that work with Oracle Cloud Infrastructure in the table below.

What are Big Data Platforms for Oracle Cloud Infrastructure?

Big data platforms are systems that provide the infrastructure and tools needed to store, manage, process, and analyze large volumes of structured and unstructured data. These platforms typically offer scalable storage solutions, high-performance computing capabilities, and advanced analytics tools to help organizations extract insights from massive datasets. Big data platforms often support technologies such as distributed computing, machine learning, and real-time data processing, allowing businesses to leverage their data for decision-making, predictive analytics, and process optimization. By using these platforms, organizations can handle complex datasets efficiently, uncover hidden patterns, and drive data-driven innovation. Compare and read user reviews of the best Big Data platforms for Oracle Cloud Infrastructure currently available using the table below. This list is updated regularly.

  • 1
    SCIKIQ

    SCIKIQ

    DAAS Labs

    An AI-powered data management platform that enables true data democratization. Integrates & centralizes all data sources, facilitates collaboration, and empowers organizations for innovation, driven by Insights. SCIKIQ is a holistic business data platform that simplifies data complexities from business users through a no-code, drag-and-drop user interface which allows businesses to focus on driving value from data, thereby enabling them to grow, and make faster and smarter decisions with confidence. Use box integration, connect any data source, and ingest any structured and unstructured data. Build for business users, ease of use, a simple no-code platform, and use drag and drop to manage your data. Self-learning platform. Cloud agnostic, environment agnostic. Build on top of any data environment. SCIKIQ architecture is designed specifically to address the challenges facing the complex hybrid data landscape.
    Starting Price: $10,000 per year
  • 2
    Indexima Data Hub
    Reshape your perception of time in data analytics. Instantly access your business’ data in no time and work directly on your dashboard without going back and forth with the IT team. Meet Indexima DataHub, a new space-time where operational and functional users gain instant access to their data, in no time. With a combination of its unique indexing engine and machine learning, Indexima allows businesses to access all their data to simplify and speed up analytics. Robust and scalable, the solution allows organizations to query all their data directly at the source, in volumes of tens of billions of rows in just a few milliseconds. Our Indexima platform allows users to implement instant analytics on all their data in just one click. Thanks to Indexima’s new ROI and TCO calculator, find out in 30 seconds the ROI of your data platform. Infrastructure costs, project deployment time, and data engineering costs, while boosting your analytical performances.
    Starting Price: $3,290 per month
  • 3
    WarpStream

    WarpStream

    WarpStream

    WarpStream is an Apache Kafka-compatible data streaming platform built directly on top of object storage, with no inter-AZ networking costs, no disks to manage, and infinitely scalable, all within your VPC. WarpStream is deployed as a stateless and auto-scaling agent binary in your VPC with no local disks to manage. Agents stream data directly to and from object storage with no buffering on local disks and no data tiering. Create new “virtual clusters” in our control plane instantly. Support different environments, teams, or projects without managing any dedicated infrastructure. WarpStream is protocol compatible with Apache Kafka, so you can keep using all your favorite tools and software. No need to rewrite your application or use a proprietary SDK. Just change the URL in your favorite Kafka client library and start streaming. Never again have to choose between reliability and your budget.
    Starting Price: $2,987 per month
  • 4
    Bizintel360
    AI powered self-service advanced analytics platform. Connect data sources and derive visualizations without any programming. Cloud native advanced analytics platform that provides high-quality data supply and intelligent real-time analysis across the enterprise without any code. Connect different data sources of different formats. Enables identification of root cause problems. Reduce cycle time: source to target. Analytics without programming knowledge. Real time data refresh on the go. Connect data source of any format, stream data in real time or defined frequency to data lake and visualize them in advanced interactive search engine-based dashboards. Descriptive, predictive and prescriptive analytics in a single platform with the power of search engine and advanced visualization. No traditional technology required to see data in various visualization formats. Roll up, slice and dice data with various mathematical computation right inside Bizintel360 visualization.
  • 5
    Starburst Enterprise

    Starburst Enterprise

    Starburst Data

    Starburst helps you make better decisions with fast access to all your data; Without the complexity of data movement and copies. Your company has more data than ever before, but your data teams are stuck waiting to analyze it. Starburst unlocks access to data where it lives, no data movement required, giving your teams fast & accurate access to more data for analysis. Starburst Enterprise is a fully supported, production-tested and enterprise-grade distribution of open source Trino (formerly Presto® SQL). It improves performance and security while making it easy to deploy, connect, and manage your Trino environment. Through connecting to any source of data – whether it’s located on-premise, in the cloud, or across a hybrid cloud environment – Starburst lets your team use the analytics tools they already know & love while accessing data that lives anywhere.
  • 6
    Oracle Big Data Service
    Oracle Big Data Service makes it easy for customers to deploy Hadoop clusters of all sizes, with VM shapes ranging from 1 OCPU to a dedicated bare metal environment. Customers choose between high-performance NVmE storage or cost-effective block storage, and can grow or shrink their clusters. Quickly create Hadoop-based data lakes to extend or complement customer data warehouses, and ensure that all data is both accessible and managed cost-effectively. Query, visualize and transform data so data scientists can build machine learning models using the included notebook with its R, Python and SQL support. Move customer-managed Hadoop clusters to a fully-managed cloud-based service, reducing management costs and improving resource utilization.
    Starting Price: $0.1344 per hour
  • 7
    Oracle Cloud Infrastructure Data Flow
    Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark service to perform processing tasks on extremely large data sets without infrastructure to deploy or manage. This enables rapid application delivery because developers can focus on app development, not infrastructure management. OCI Data Flow handles infrastructure provisioning, network setup, and teardown when Spark jobs are complete. Storage and security are also managed, which means less work is required for creating and managing Spark applications for big data analysis. With OCI Data Flow, there are no clusters to install, patch, or upgrade, which saves time and operational costs for projects. OCI Data Flow runs each Spark job in private dedicated resources, eliminating the need for upfront capacity planning. With OCI Data Flow, IT only needs to pay for the infrastructure resources that Spark jobs use while they are running.
    Starting Price: $0.0085 per GB per hour
  • 8
    TEOCO SmartHub Analytics
    SmartHub Analytics is a dedicated telecom big-data analytics platform that enables financial and subscriber-based ROI-driven use cases. Designed to support and encourage data sharing and reuse, SmartHub Analytics optimizes business performance and delivers analytics at the speed of thought. SmartHub Analytics eliminates silos and can assess, validate and model vast amounts of data from across TEOCO’s solution portfolio, including: customers, planning, optimization, service assurance, geo-location, service quality and costs. As an added analytics layer residing on top of other existing OSS & BSS solutions, SmartHub Analytics provides a standalone analytics environment with a proven return on investment (ROI), saving operators billions. We consistently uncover significant cost savings for our customers, utilizing prediction-based machine learning algorithms. SmartHub Analytics remains at the forefront of technology, delivering accelerated data analyses.
  • 9
    MOSTLY AI

    MOSTLY AI

    MOSTLY AI

    As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity.
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