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    managed services

Database managed services and remote DBA support provide peace of mind

Our completely managed database solution offers more than just database upkeep and operational support; it is always accessible. In order to continuously improve your database, Pythian offers a proactive approach.

mind at complete peace The management of your data systems is ongoing, and enhancements are made to their performance and security posture.

Online transaction processing (OLTP), data warehousing (DW), and hybrid (OLTP & DW) database workloads are frequently run on Oracle Database. The Oracle database may run on an array of operating systems, including Windows, UNIX, Linux, and macOS. Several operating systems are supported, including IBM AIX, HP-UX, Linux, Microsoft Windows Server, Solaris, SunOS, and macOS. With the use of an open, comprehensive, and integrated method, Oracle database maintains data. The features mentioned below satisfy the need for effective database management.

Availability: It never goes offline or out of commissions, ensuring the database's availability around-the-clock. Because of the Oracle Data Guard capabilities, it offers high availability of databases. This functionality enables the secondary database to be utilized as a backup of the primary database in the event of a failure. As a result, none of the regular operations, including backups and complete failures, stop the database from being used.

Security: Oracle has a system in place for managing and accessing the database that guards against unauthorized use. Because of the Oracle Advanced Security features, it offers great security. TDE (Transparent Data Encryption) and Data Redaction are the two database security options it provides. Data encryption is supported by TDE both at the source and after export. Application-level redaction takes place. Other security features offered by Oracle include Oracle Label Security and Oracle Database Vault, which controls user privileges.

Scalability: Real Application Cluster (RAC) and portability are two capabilities that make an Oracle database expandable in accordance with usage. It provides features like rolling instance migrations, conducting upgrades, preserving application continuity, quality of service management, etc. in a clustered environment.

Management: A single container database and numerous pluggable databases are combined in a consolidated design by the database management tool Oracle Multitenant.

Performance : The performance-enhancing techniques offered by Oracle include Oracle Advanced Compression, Oracle Database In-Memory, Oracle Real Application Testing, and Oracle Times Ten Application-Tier Database Cache. Their major goal is to achieve the best level of system performance.

Scalability: Analytics: Oracle has the following solutions in the field of analytics:

  • OLAP (Oracle Analytic Processing): For doing intricate analytical calculations on corporate data, it is an application of Oracle.

  • Oracle Advanced Analytics : Oracle R Enterprise and Oracle Data Mining are used in conjunction technically to help companies develop predictive business models using data and text mining as well as statistical data computing

    • Microsoft developed and marketed the SQL Server relational database management system (RDBMS) to primarily compete with the MySQL and Oracle databases. Commonly known as MS SQL Server, this ORDBMS is platform-dependent, compatible with both GUI and command-based software, and it is an ORDBMS. The primary interface tool for SQL Server is SQL Server Management Studio (SSMS), which is compatible with both 32-bit and 64-bit operating systems. There are numerous versions of Microsoft SQL Server, each of which is designed to meet different workloads and expectations. The Express edition of the software is a free, condensed version, but the Data Center edition is geared for greater application support and scalability capabilities.

    The following are the key usage of MS SQL Server:

  • Its main purpose is to build and maintain databases.
  • It is used to analyze the data using SQL Server Analysis Services (SSAS).
  • It is used to generate reports using SQL Server Reporting Services (SSRS).
  • It is used to perform ETL operations using SQL Server Integration Services (SSIS).

    • IBM created the cross-platform database system known as the DB2 Universal Database (UDB). An object-oriented relational database management system (OORDBMS), DB2 Universal Database (UDB) is distinguished by multimedia capabilities, content-based queries, and an extensible design. It is a relational database management system that can be accessed via the Web and provides data warehousing and transaction processing.

    Db2 is a relational database that offers sophisticated data management and analytics capabilities for transactional applications. It was formerly known as Db2 for LUW. This operational database is supported on Linux, Unix, and Windows operating systems and is created to give high performance, actionable insights, data availability, and dependability.

    Advanced features like in-memory technology (IBM BLU Acceleration), sophisticated administration and development tools, storage optimization, workload management, actionable compression, and continuous data availability (IBM pureScale) are all included in the Db2 database software.

    The oracle company supports this open-source database program. In compared to Oracle database and Microsoft SQL Server, it is a database management system that is quick, scalable, and straightforward to use. For the reason of developing strong and dynamic server-side or web-based enterprise applications, it is frequently used in conjunction with PHP scripts.

    MySQL is a Relational database management system (RDBMS) software that provides many things, which are as follows:

  • It enables us to carry out operations on tables, rows, columns, and indexes in relation to databases
  • Tables, which are collections of rows and columns and are also referred to as relations, are used to define the database relationship.
  • It gives various tables' rows or columns the referential integrity.
  • We can automatically update the table indexes thanks to it.
  • At the benefit of the end users, it integrates important data from numerous tables using numerous SQL queries.