Big Data
Top Splunk Big Data Alternatives and Competitors

BigQuery is Google's fully managed, NoOps, low cost analytics database. With BigQuery you have no infrastructure to manage and don't need a database administrator, use familiar SQL and can take advantage of pay-as-you-go model.

Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake is available globally on AWS, Azure and Google Cloud Platform. With a common and interchangeable code base, Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.

The Oracle Exadata Database Machine is engineered to deliver dramatically better performance, cost effectiveness, and availability for Oracle databases. Exadata features a modern cloud-based architecture with scale-out high-performance database servers, scale-out intelligent storage servers with state-of-the-art PCI flash, and an ultra-fast InfiniBand internal fabric that connects all servers and storage.

Harness the power of your data and accelerate trusted outcome-driven innovation by developing intelligent and live solutions for real-time decisions and actions on a single data copy. Support next-generation transactional and analytical processing with a broad set of advanced analytics – run securely across hybrid and multicloud environments.

Amazon Web Services provides a broad range of services to help you build and deploy Big Data applications quickly and easily. AWS gives you fast access to flexible and low cost IT resources, so you can rapidly scale virtually any big data application including data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing.

IBM Digital Insights is our data and analytics solution-as-a-service for data strategy and governance in a hybrid multicloud environment. A multi-tiered framework of capabilities focused on flexibility and portability, IBM Digital Insights helps you accelerate your business insights and customer knowledge, using data across any cloud. Explore these tabs to learn more about each layer in the framework.

Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.

Azure Synapse is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless or provisioned resources—at scale. Azure Synapse brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

With Micro Focus Vertica, your queries will run 50-1,000x faster than any data warehouse or database technology. It’s proven to run at petabyte-scale and gives you complete openness to use any BI/ETL tool, run as SQL on Hadoop, and leverage scalable predictive analytics and a comprehensive library of built-in analytical functions.

Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes. Powered by the world’s most popular Apache Hadoop distribution, Cloudera Enterprise lets you focus on results.

Teradata Unified Data Architecture™ allows organizations to capture, deploy, support, manage and seamlessly access all their data from multiple data platforms. Through the power of Teradata’s Unified Data Architecture Software solutions, organizations can leverage data from multiple data sources such as a Teradata Integrated Data Warehouse, Aster Discovery Platform, Hadoop and other systems.