A database is an organized collection of data, generally stored and accessed electronically from a computer system while Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
Product Solutions Categories
Database and Big Data
Oracle Database Oracle Database offers market-leading performance, scalability, reliability, and security, both on-premises and in the cloud. Oracle Database 19c is the current long term release, and it provides the highest level of release stability and longest time-frame for support and bug fixes.
Oracle MySQL Oracle MySQL Database is a fully managed database service that enables you to deploy cloud native applications using the world’s most popular open source database. It is 100% developed, managed, and supported by Oracle’s MySQL Team.
PostgreSQL PostgreSQL is a powerful, open source object-relational database system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads. PostgreSQL has earned a strong reputation for its proven architecture, reliability, data integrity, robust feature set, extensibility, and the dedication of the open source community behind the software to consistently deliver performant and innovative solutions.
Cloudera Hadoop Hadoop is an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyze data. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, at the same time, at massive scale on industry-standard hardware. CDH, Cloudera's open source platform, is the most popular distribution of Hadoop and related projects in the world (with support available via a Cloudera Enterprise subscription).
TigerGraph We use graph databases every day and probably don’t know it. Every time we visit Linkedin, we’re getting results from the social networking site’s professional network graph built on graph database. Facebook, Instagram, and Twitter all use graph databases and analytics to understand how users relate to each other and connect them with the right content. TigerGraph is a new kind of graph database, a native parallel graph database purpose-built for loading massive amounts of data (terabytes) in hours and analyzing as many as 10 or more hops deep in to relationships in real-time. TigerGraph supports transaction as well as analytical workloads, is ACID compliant, scales up and out with database sharding. TigerGraph’s proven technology supports applications such as fraud detection, customer360, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Intuit, China Mobile, Wish and Zillow.
YugabyteDB YugabyteDB uniquely combines enterprise-grade relational database capabilities with the horizontal scalability and resilience of cloud native architectures. YugabyteDB is like PostgreSQL reimagined for a cloud native world. It is more than just wire compatible with PostgreSQL, it is code compatible. YugabyteDB is perfect for transactional applications and services that require data to be strongly consistent and highly available even in the face of data center, zone, and region failures. YugabyteDB has been designed from the ground up to run natively in Kubernetes and deliver ACID transactions, horizontal scalability, high availability, and multi-region deployments.