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Oracle database services and products offer customers cost-optimized and high-performance versions of Oracle Database, the world's leading converged, multi-model database management system, as well as in-memory, NoSQL and MySQL databases. Oracle Autonomous Database, available on premises via Oracle Cloud@Customer or in the Oracle Cloud Infrastructure, enables customers to simplify relational database environments and reduce management workloads.

Assess, detect, and prevent data security threats with Oracle database security solutions for encryption, key management, data masking, privileged user access controls, activity monitoring, and auditing. Reduce the risk of a data breach and simplify and accelerate compliance.

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Make development and deployment of enterprise applications simpler with the most comprehensive database platform with both application and data services. Build SaaS apps with CI/CD, Multitenant database, Kubernetes, cloud native, and low-code technologies.

Enable globally distributed, linearly scalable, multi-model databases which meet data sovereignty requirements and support applications that require low latency and high availability. Oracle Sharding automatically places data on the desired shard, saving time and eliminating manual data preparation. Developers can treat a sharded database as a single logical database, simplifying application development.

Oracle Base Database Service allows organizations to create and manage full-featured Oracle Database instances in Oracle Cloud Infrastructure (OCI). IT teams provision databases on virtual machines with block storage volumes providing cost-efficient cloud database services with a choice of Oracle Database editions.

MySQL HeatWave is the only service that enables database admins and app developers to run OLTP and OLAP workloads directly from their MySQL database. This eliminates the need for complex, time-consuming, and expensive data movement and integration with a separate analytics 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 Database 21c, also available for production use today as an innovation release, provides an early insight into the many enhancements and new capabilities. These include autonomous administration, improved multimodel support through in-database JavaScript and native blockchain tables, and multiworkload improvements such as AutoML and sharding enhancements that will be incorporated into future long-term releases. Read and sign up for Oracle Database newslettersOracle Database Free for developers (3:40)

Developers can quickly create scalable, high-performance applications using SQL, JSON, XML, and a range of procedural languages. Oracle Database 19c offers a range of built-in development tools, such as APEX, and converged database capabilities.

Oracle Database 19c includes built-in capabilities and options, including Oracle Active Data Guard and Oracle Real Application Clusters, that enable efficient, scaling and consolidation of customer databases. IT teams use the same capabilities on-premises and in Oracle Cloud Infrastructure to run protect crucial customer databases and maximize their availability.

Oracle Database accelerates machine learning (ML) with powerful algorithms that run inside the database so customers can build and run ML models without having to move or reformat data. Data scientists leverage Python, R, SQL, and other tools to integrate ML capabilities into database applications and deliver analytics results in easy-to-use dashboards.

Increase enterprise-wide database performance and availability with consistent management processes via a single-pane-of-glass management dashboard. DBAs reduce their workloads by consolidating the monitoring and management of databases running on premises, in Oracle Cloud Infrastructure, and in third-party clouds with Oracle database management solutions.

Upgrade to the latest Oracle Database technology to benefit from market-leading performance, availability, and security. Migrate your database to Oracle Cloud Infrastructure to combine low cost with high performance.

Oracle Database (commonly referred to as Oracle DBMS, Oracle Autonomous Database, or simply as Oracle) is a proprietary multi-model[4] database management system produced and marketed by Oracle Corporation.

It is a database commonly used for running online transaction processing (OLTP), data warehousing (DW) and mixed (OLTP & DW) database workloads. Oracle Database is available by several service providers on-prem, on-cloud, or as a hybrid cloud installation. It may be run on third party servers as well as on Oracle hardware (Exadata on-prem, on Oracle Cloud or at Cloud at Customer).[5]

In the market for relational databases, Oracle Database competes against commercial products such as IBM DB2 and Microsoft SQL Server. Oracle and IBM tend to battle for the mid-range database market on Unix and Linux platforms, while Microsoft dominates the mid-range database market on Microsoft Windows platforms. However, since they share many of the same customers, Oracle and IBM tend to support each other's products in many middleware and application categories (for example: WebSphere, PeopleSoft, and Siebel Systems CRM), and IBM's hardware divisions work closely[citation needed] with Oracle on performance-optimizing server-technologies (for example, Linux on IBM Z). Niche commercial competitors include Teradata (in data warehousing and business intelligence), Software AG's ADABAS, Sybase, and IBM's Informix, among many others.

Increasingly, the Oracle database products compete against open-source software relational and non-relational database systems such as PostgreSQL, MongoDB, Couchbase, Neo4j, ArangoDB and others. Oracle acquired Innobase, supplier of the InnoDB codebase to MySQL, in part to compete better against open source alternatives, and acquired Sun Microsystems, owner of MySQL, in 2010. Database products licensed as open-source are, by the legal terms of the Open Source Definition, free to distribute and free of royalty or other licensing fees.

There is no "best." The reason Esri supports enterprise geodatabases in more than one DBMS is a recognition of the fact that most organizations choose their enterprise DBMS platform for many reasons, and ArcGIS likely isn't one of the big drivers for the choice.

I have worked with enterprise geodatabases in SQL Server and Oracle. My preference is SQL Server, but that is strongly driven by my deeper familiarity with Microsoft database platforms over the years. I can find other people in my organization that would say Oracle because they are more familiar with Oracle.

Actually I do not have experiences with database, recently I have taken my first steps with Postgres and SQL Server. As soon as I have experience and define my needs I will ask more specific questions. Thank you very much

Joshua and Rebecca are correct - experience with an RDBMS, non-Esri application business needs and cost are all factors in deciding what RDBMS to acquire for a multiuser geodatabase. PostgreSQL is a free RDBMS that many users like. SQL Server is the dominate RDBMS used in GIS for many reasons. Oracle is very capable as well and is used quite a bit in the GIS community. At the end of the day, you have to think about $$$, non-Esri applications, and DBA salary/bene's/etc as well. Regardless of the Esri supported RDBMS you acquire, your multiuser geodatabase experience will be the same.

I vote for SQL Server. I learned it in 2 weeks from scratch (add on another 3 weeks and I had my first Enterprise Geodatabase in ArcGIS for Server up and running!). Plus ArcGIS for Server includes free SQL Server Express which you can load on your local machine and fool around with it. I tried to work with Oracle, but could never figure it out. I found Oracle overly complex and required too much intervention from our IT folks, something you want to avoid at all costs if you are a GIS Professional. That Oracle TOAD licked me and I never recovered. Stick to SQL Server.

Autonomous JSON Database is designed for JSON-centric development at low cost. Developers can use both the API for MongoDB and Oracle SQL for accessing the same document data, avoiding the need to move data to a separate database for analytics, machine learning, spatial analysis, and more. This provides an alternative to MongoDB Atlas, with advanced features such as:

Don't see that? Most likely you didn't define "Secure Access from allowed IPs" for your database. If the database is set up for "Secure Access from anywhere" then this card will not be shown (in later versions it may be shown, but grayed out).

Take out the initial [user:password@] (we will provide separate credentials) and change the [user] in the second part of the URL to our database username, currently "admin". So the modified URL will look something like:

Can't connect? Check the URL is properly quoted, and that you have the correct IP address for your client system registered for the database (and you're not connected through any kind of VPN). Also make sure the mongosh command is on a single line and you haven't unwittingly introduced any extra newline characters.

Next let's look at how we can work with collections through database tools. Go back to Oracle Cloud and find your database via Overview -> Autonomous Database -> Autonomous Databases. Click on the name of your database:

That will launch the Database Actions page in a new browser tab. Failed to launch? Probably a network connection issue - check your ACL is still valid for the IP address the browser is running on. When you're connected, you should be be logged in automatically as user ADMIN. If prompted for username and password, the username is ADMIN and the password is the one you supplied when creating the database. e24fc04721