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Oracle vs Tibero: What are the differences?
Introduction
Oracle and Tibero are both relational database management systems (RDBMS) that are widely used in the industry. While they share similarities in terms of managing structured data, there are key differences that set them apart. Here, we will discuss the six main differences between Oracle and Tibero.
Licensing Model: Oracle follows a complex licensing model that includes options such as named user plus, processor, and named user minimums. On the other hand, Tibero follows a simpler licensing model with a per-instance license and no additional complexities.
Storage Management: Oracle provides a wide range of storage management options, such as automatic storage management (ASM) and Oracle Cloud Storage options. In contrast, Tibero does not have its own storage management solutions, relying on the underlying operating system's storage management capabilities.
Replication and High Availability: Oracle offers robust replication and high availability solutions like Oracle Data Guard and Oracle GoldenGate, which enable real-time data replication and disaster recovery. Tibero, though it has limited options for replication and disaster recovery, does not provide the same level of flexibility and features as Oracle.
SQL Compatibility: While both Oracle and Tibero support SQL, Oracle has a richer set of SQL features and functions compared to Tibero. Oracle also provides support for procedural languages like PL/SQL, which allows for advanced procedural programming within the database.
Administration and Management Tools: Oracle has a comprehensive suite of administration and management tools, such as Oracle Enterprise Manager, which provide a wide range of features for monitoring and managing Oracle databases. Tibero, on the other hand, has a more limited set of administration and management tools available.
Ecosystem and Support: Oracle has a large ecosystem with a wide range of third-party tools, frameworks, and integration options. It also has extensive documentation and a strong support network. Tibero, being a relatively newer player in the market, has a smaller ecosystem and a more limited range of third-party tools and frameworks available.
In summary, Oracle and Tibero differ in their licensing models, storage management options, replication and high availability solutions, SQL compatibility and features, administration and management tools, as well as ecosystem and support. These differences make each RDBMS suitable for different use cases and environments.
We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.
We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.
In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.
MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.
Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.
Pros of Oracle
- Reliable44
- Enterprise33
- High Availability15
- Hard to maintain5
- Expensive5
- Maintainable4
- Hard to use4
- High complexity3
Pros of Tibero
- Enterprise Edition all inclusive without extra purchase1
- Reliable shared server1
- Multi-node parallel recovery1
- High security database encryption1
- Hyper-thread architecture1
- Active or passive standby DB capability1
- High performance transaction processing1
- Lower TCO1
- Simple Licensing model1
- High availability (Active-Active clustering)1
- Highly compatible with Oracle1
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Cons of Oracle
- Expensive14
