Best Big Data Software for Oracle Cloud Infrastructure

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

Reframe your perception of time with data analytics. Instantly access the data of your business and work directly in your dashboard, without having to go back and forth with your IT team. Indexima DataHub is a new space where operational and functional users can instantly access their data. Indexima's unique indexing engine, combined with machine learning, allows businesses to quickly and easily access their data. The robust and scalable solution allows businesses to query their data directly from the source in volumes of up to tens billions of rows within milliseconds. With our Indexima platform, users can implement instant analytics for all their data with just one click. Indexima’s new ROI and TCO Calculator will help you determine the ROI of your data platform in just 30 seconds. Infrastructure costs, project deployment times, and data engineering cost, while boosting analytical performances.

WarpStream, an Apache Kafka compatible data streaming platform, is built directly on object storage. It has no inter-AZ network costs, no disks that need to be managed, and it's infinitely scalable within your VPC. WarpStream is deployed in your VPC as a stateless, auto-scaling binary agent. No local disks are required to be managed. Agents stream data directly into and out of object storage without buffering on local drives and no data tiering. Instantly create new "virtual" clusters in our control plan. Support multiple environments, teams or projects without having to manage any dedicated infrastructure. WarpStream is Apache Kafka protocol compatible, so you can continue to use your favorite tools and applications. No need to rewrite or use a proprietary SDK. Simply change the URL of your favorite Kafka library in order to start streaming. Never again will you have to choose between budget and reliability.

AI-powered self-service platform for advanced analytics. Without programming, connect data sources and create visualizations. Cloud native advanced analytics platform that delivers high-quality data supply, intelligent real-time analysis across enterprises without the need for programming. Connect data sources in different formats. Allows for the identification of root causes. Reduce cycle time from source to destination Analytics without programming knowledge Real-time data refresh on the move Connect any data source, stream data in real-time or at a defined frequency to the data lake, and visualize them in interactive search engine-based dashboards. With the power of the search engine and advanced visualization, you can perform predictive, prescriptive and descriptive analytics from one platform. No need to use traditional technology to view data in different visualization formats. Bizintel360 visualization allows you to slice, dice and combine data with different mathematical computations.

Starburst allows you to make better decisions by having quick access to all of your data. Your company has more data than ever, but your data teams are still waiting to analyze it. Starburst gives your data teams quick and accurate access to more data. Starburst Enterprise, a fully supported, production-tested, enterprise-grade distribution for open source Trino (formerly Presto®, SQL), is now available. It increases performance and security, while making it easy for you to deploy, connect, manage, and manage your Trino environment. Starburst allows your team to connect to any source of data, whether it's on-premise, in a cloud, or across a hybrid cloud environment. This allows them to use the analytics tools they already love and access data that lives anywhere.

Customers can deploy Hadoop clusters in any size using Oracle Big Data Service. VM shapes range from 1 OCPU up to a dedicated bare-metal environment. Customers can choose between high-performance block storage or cost-effective block store, and can grow and shrink their clusters. Create Hadoop-based data lakes quickly to expand or complement customer data warehouses and ensure that all data can be accessed and managed efficiently. The included notebook supports R, Python, and SQL. Data scientists can query, visualize, and transform data to build machine learning models. Transfer customer-managed Hadoop clusters from a managed cloud-based service to improve resource utilization and reduce management costs.

Oracle Cloud Infrastructure (OCI Data Flow) is a fully managed Apache Spark service that performs processing tasks on very large data sets. There is no infrastructure to deploy or manage. This allows developers to focus on application development and not infrastructure management, allowing for rapid application delivery. OCI Data Flow manages infrastructure provisioning, network setup, teardown, and completion of Spark jobs. Spark applications for big data analysis are easier to create and manage because storage and security are managed. OCI Data Flow does not require clusters to be installed, patched, or upgraded, which reduces both time and operational costs. OCI Data Flow runs every Spark job in dedicated resources. This eliminates the need to plan for capacity ahead. OCI Data Flow allows IT to only pay for the infrastructure resources used by Spark jobs while they are running.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

SmartHub Analytics, a dedicated telecom big data analytics platform, enables subscriber-based ROI-driven use case. SmartHub Analytics is designed to encourage data sharing and reuse and optimize business performance. It also delivers analytics at the speed and pace of thought. SmartHub Analytics can eliminate silos and can model, validate, and assess vast amounts of data across TEOCO's solution range, including customers, planning, optimization and service assurance. This includes: customer, planning, optimization and service quality. SmartHub Analytics is an analytics layer that can be used in conjunction with other OSS & BSS solutions. It provides a standalone environment for analytics and has a proven return-on-investment (ROI) that saves operators billions. Our customers enjoy significant cost savings by using prediction-based machine learning algorithms. SmartHub Analytics is at the forefront technology by delivering rapid data analyses.