SQL Server & Azure SQL
The platform this firm was built on. On-premises instances, Azure SQL Database and Managed Instance, availability groups and clusters, the BI stack, and the licensing position underneath all of it.
Platform Coverage
Most estates run more than one database engine. Most partners staff for one. Fortified Data runs all four, so a mixed environment gets one team, one set of findings, and one number to call rather than four.
Senior US-based DBAs on every platform.
Fortified Data runs, tunes, secures, and migrates Microsoft SQL Server and Azure SQL, Oracle, PostgreSQL, and MySQL, on premises and in AWS, Microsoft Azure, and Google Cloud. Each platform page states the work performed on that engine, the versions and configurations supported, and what a client receives, across managed services, fixed-scope consulting projects, and assessments.
The four pages below are deliberately narrow. Somebody researching an Oracle partner does not need Oracle explained to them. They need to know which configurations a team has actually run, whether it has been through a licensing audit, and what happens at two in the morning.
What follows the four cards is what holds true whichever engine you run. The differences are on the pages themselves.
The commands differ by engine. The obligations do not.
Each page states what Fortified Data does on that engine, which versions and configurations are supported, and what arrives at the end of an engagement.
The platform this firm was built on. On-premises instances, Azure SQL Database and Managed Instance, availability groups and clusters, the BI stack, and the licensing position underneath all of it.
RAC, Data Guard, ASM, Exadata, and GoldenGate, run by DBAs who have been through an Oracle licensing audit and know what gets asked for.
Managed and self-hosted PostgreSQL, replication and failover, extension and advanced feature work, and the migration route off a commercial engine.
Replication topologies, read replicas, sharding and partitioning, and the scaling work a high-transaction MySQL estate needs before it hits the wall.
Why it matters who holds the estate
Four platform specialists produce four reports, four views of where the problem is, and no picture of the system the business actually runs. One team that covers all four produces one.
Consolidation, licensing pressure, and modernization all end in a move from one platform to another. That project needs a team fluent on both sides of it, not a specialist on either.
Every platform here is available as an ongoing managed service, as a fixed-scope consulting engagement, or as an assessment that establishes which of the two you need.
Between platforms
Consolidation, a licensing renewal, or a modernization program all arrive at the same place: something has to move from one platform to another. These are the routes Fortified Data runs, and each is a fixed-scope engagement rather than an open-ended project.
The move driven by licensing cost more often than by technology. Schema and PL/SQL conversion, application compatibility, and a performance comparison against the Oracle baseline, so the saving is measured rather than assumed. Run as a migration engagement.
Heterogeneous migration with full application compatibility, including the stored procedure and data type conversion that decides whether the target behaves the way the source did.
Azure SQL Database, Managed Instance, or SQL Server on an Azure virtual machine, chosen on compatibility and cost rather than on the default. The SQL Server page covers how that choice gets made.
Oracle or SQL Server workloads moved to PostgreSQL or MySQL where the workload suits it. The assessment also names the workloads that do not, which is the half of this decision most business cases skip.
Moving off an end-of-life version without changing engine. The same phases, a shorter compatibility list, and the same requirement for a tested way back before anything changes.
Instance sprawl reduced and workloads consolidated, which lowers licensing and management cost on every platform here. Usually scoped from a health check rather than from a wish list.
Microsoft SQL Server and Azure SQL, Oracle, PostgreSQL, and MySQL. Each is supported on premises, in AWS, Microsoft Azure, or Google Cloud, or in a hybrid arrangement across both, and each is available for managed services, consulting projects, and assessments.
Yes, and that is the usual case rather than the exception. Fortified Data assesses, reports on, and manages a mixed estate as one environment, with one set of findings and one team, rather than splitting it into a separate engagement per engine.
Yes. MariaDB environments are supported alongside MySQL, covering configuration, performance, security, replication, and upgrade work. The Fortified Data MySQL page describes the operational model that applies to both.
Yes. Fortified Data supports Amazon RDS, Google Cloud SQL, and Azure Database alongside self-hosted instances, and supports the Azure SQL family for SQL Server workloads. A managed cloud service removes some of the administrative work and none of the performance, security, cost, or design work, which is the part clients typically bring us.
Yes. Cross-platform migrations, such as Oracle to PostgreSQL or Oracle to SQL Server, are run as fixed-scope engagements with compatibility analysis, schema and code conversion, row-level validation, and a tested rollback path at every phase.
Yes. Fortified Data supports legacy versions across all four platforms and treats an unsupported version as a risk to be planned down rather than a reason to decline the work. A version past its support date receives no security patches, so the engagement normally combines stabilizing what is running now with a costed upgrade or migration path off it.
One conversation covers the whole estate, whichever engines are in it. If you would rather start with evidence than with a meeting, a health check assesses every platform you run in a single engagement and reports them in a single document.
Let us show you what's possible.
Two ways to start
One team across SQL Server, Oracle, PostgreSQL, and MySQL.