When you want to get started with a new data warehouse project, many factors need to be considered, and this is where the Forrester Wave report can help you. Forrester identified the 15 most significant criteria then researched, analyzed, and scored them.
Forrester spends a lot of time and effort advising its customers on general market trends, emerging technologies, and best practices within the cloud data warehouse market. As a result of these interactions, it recommends that customers should look for a cloud provider that can:
We are excited to announce that Forrester Research has recognized the innovative capabilities of Autonomous Database by ranking Oracle as a Leader in its latest Forrester Wave™: Cloud Data Warehouses, Q2 2023. Oracle Autonomous Database ranked highest for both strategy and current offering.
The Forrester report states: “Oracle’s CDW has the broadest capabilities coupled with a strong vision”
This statement is a strong validation of our overall vision and strong track record with Autonomous Database, where we are continually delivering market-leading innovations that enable our customers to gain faster time to value.
You can use this link to download a complimentary version of The Forrester Wave™: Cloud Data Warehouses, Q2 2023 report.
Let’s explore, in a little more detail, why Forrester ranked Autonomous Database highest out of 17 cloud data warehouse vendors:
1) Simplify data warehouse deployments with advanced automation.
Any database – from departmental mart to mission-critical enterprise data warehouse - has traditionally required a lot of effort to set up, configure, deploy, and manage.
With Autonomous Database, Oracle has automated the operational tasks of deploying a data warehouse in the cloud, meaning you can deploy a cloud-native data warehouse in under 2 minutes. Follow this link to watch and experience how quick and easy it is to deploy an autonomous data warehouse.
Autonomous Database services uniquely provide multiple deployment possibilities that combine the lowest cost along with the simplest operational control:
The built-in always-on automation also makes Autonomous Database much more secure than other cloud databases because it constantly updates and patches itself in response to the latest threats with zero downtime!.
The simplified deployment experience goes beyond just delivering a data store in the cloud. Every Autonomous Database has a comprehensive set of built-in wizard-driven data tools covering data loading, data transformation, a multidimensional cube generator, machine learning notebook, a visual graph studio service, and Oracle’s industry-leading low-code development platform – APEX. Everything you need to go from data-to-dashboard is built-in and ready to go.
Additionally, Autonomous Database can automatically scale compute resources up or down with zero downtime to meet spikes in workload requirements. You pay only for the compute and storage you use.
Autonomous Database offers a dramatically better and more cost-effective cloud experience for data warehouse projects.
2) Support real-time analytics with high-speed ingestion
The use of real-time analytics is becoming more and more common. However, previous approaches tended to assume a single source of real-time data. Today, it is more likely that a data warehouse will be ingesting multiple real-time data feeds, which requires support for a broad range of data source-specific technologies and data formats.
GoldenGate is the premier real-time data replication tool for Autonomous Data Warehouse. It uses optimized connections to deliver high-speed data movement for the best performance. GoldenGate is functionally very rich, and data engineers can use pattern-matching analytic functions for time-series and geospatial data. They can discover and test for outliers and anomalies, apply insight from ML models, and then automatically take the next best action.
Autonomous Database also supports several other options for ingesting real-time data, including the built-in Live Feed tool that integrates with OCI Object Storage, Kafka streams, and OCI Streaming. This makes supporting a wide range of use cases easy, from IoT streams to web-scale transactions to Oracle Applications.
For decades, the world's most important and sensitive data has been managed by Oracle Databases.
Data warehousing has a growing trend in using machine learning, graph analytics, and spatial analytics to gain more insights and deliver competitive advantages. However, these more sophisticated forms of data analysis require broader and richer data sets that typically include highly sensitive and personally identifiable information. Consequently, security within your cloud data warehouse must be addressed.
Autonomous Database automatically implements real-world security best practices to keep your system running at peak efficiency and security. The security control center automatically identifies risks and alerts you of any suspicious activity.
Autonomous Database comes complete with security services to help you understand data sensitivity, evaluate data risks, mask sensitive data, implement and monitor security controls, assess user security, and monitor user activity. These capabilities help manage your data warehouse's day-to-day security and compliance requirements.
Follow this link to watch and experience the built-in security capabilities of Autonomous Database.
Oracle Autonomous Data Warehouse is built for a multi-cloud world with native, secure access to AWS S3, Azure blob storage, Google Cloud Object Storage, and Wasabi. This means you can use your existing cloud storage authentication methods and APIs to manage authorization to your cloud object stores. Bringing your existing data warehouse to Autonomous Data Warehouse is easy because you can reuse your existing keys and URLs.
To help you move data to Autonomous Data Warehouse or simply use Autonomous Data Warehouse as the analytical hub in a typical hub & spoke architecture, there is a series of fully managed connectors for live access to data stored in Azure SQL, Azure Synapse, Amazon Redshift, Snowflake, MongoDB, Apache Hive, and PostgreSQL.
Microsoft Azure customers can experience the next level of multi-cloud integration with Oracle Database Service for Microsoft Azure. It provides an Oracle-managed service for Azure customers to easily and quickly provision, access, and operate Autonomous Database in Oracle Cloud Infrastructure (OCI) via a familiar Azure-like experience. Users can seamlessly connect their typical Azure data visualization and business intelligence tools with the high performance, high availability, and automated management of Oracle Database services, such as Autonomous Database, running on OCI.Learn more about Oracle Database Service for Azure - Get started with the service.
Oracle Autonomous Data Warehouse is a truly unique offering in the cloud data warehouse market. Through simplifying data warehouse deployments with advanced automation, supporting real-time analytics with high-speed ingestion, delivering enterprise-grade performance and scalability, and integration with other platforms through to future-proof enterprise architecture, Autonomous Database has been recognized as the highest rated cloud data warehouse by Forrester.
Use this link to download a complimentary version of The Forrester Wave™: Cloud Data Warehouses, Q2 2023 report.
See what other top industry analysts are saying about Autonomous Database
Wikibon finds Oracle Autonomous Database is 50% lower cost than AWS
KuppingerCole: Oracle Autonomous Database is ranked #1 overall for Cloud Database and Big Data security
IDC: Oracle Autonomous Database provides 417% ROI
Read all the industry expert reports for Autonomous Data Warehouse here.
Product Manager for Autonomous Database and Analytic SQL with extensive experience in data warehouse and business intelligence projects. Worked in various roles, including post-sales consultancy, customer support, and product management at locations across Europe and US.