Analytical Data Store
Top Splunk Cloud Platform Alternatives and Competitors

BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Use BigQuery to manage all data types across clouds, structured and unstructured, with fine-grained access controls. BigQuery's serverless architecture lets you use SQL queries to analyze your data. You can store and analyze your data within BigQuery or use BigQuery to assess your data where it lives.

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.

Amazon Redshift is used to modernize data analytics workloads and deliver insights into businesses. With a fully managed, AI powered, massively parallel processing (MPP) architecture, Amazon Redshift drives business decision making quickly and cost effectively. Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning to deliver optimal performance at any scale.

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.

The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals.

Tanzu Greenplum is a data warehouse, analytics and AI platform that allows you to unify all your data, transforming it into act. VMware Greenplum is a massively parallel processing (MPP) data platform for large-scale analytics and data warehousing, available on-premises and in the cloud.

Cloudera Data Platform is a hybrid data platform designed for unmatched freedom to choose—any cloud, any analytics, any data. Cloudera delivers fast and easy data management and data analytics for data anywhere, with optimal performance, scalability, and security. Cloudera offers the highest performance and lowest cost platform for using data to drive better business outcomes.

Oracle Exadata is an enterprise database platform that runs Oracle Database workloads of any scale and criticality with high performance, availability, and security. Exadata’s scale-out design employs unique optimizations that let transaction processing, analytics, artificial intelligence, and mixed workloads run faster and more efficiently. Consolidating diverse Oracle Database workloads on Exadata platforms in enterprise data centers, Oracle Cloud Infrastructure (OCI), and multicloud environments helps organizations increase operational efficiency, reduce IT administration, and lower costs.

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.

Base SAS Software delivers flexible, extensible 4GL and web-based interface for data access, transformation, and reporting. Based on an open, cross-platform architecture, Base SAS is hardware-agile and integrates into any computing infrastructure, enabling you to unify computing efforts and get a single view of your data. From small data issues to large complex data problems, programmers can read, format, analyze and report on data quickly, regardless of format.

IBM Netezza Performance Server is the advanced cloud-native data warehouse designed for unified, scalable analytics and insights available anywhere. Built with data lake and watsonx.data integration, Netezza Performance Server empowers you to run highly complex queries and machine learning to support critical business decisions across your organization.

OpenText Vertica Data Platform is an analytical database that can tap into any data, at any scale, anywhere. It allows organizations to modernize their data warehouse, deploy their analytics in a hybrid-cloud environment, and democratize data and analytics. Vertica is designed for scalability and efficiency from the ground up, lowering organizations’ TCO and minimizing server requirements.