AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data rooms10 business days
To start an Oracle engagement
Scoping through first sprint
100%
Senior engineers, US-based
PL/SQL and Oracle DBA experience
Every sprint
Working changes against a staging instance
Not a status deck between milestones
100%
Code and schema you own
Deployed under your own Oracle instance
What we build with Oracle
Oracle work, by what's actually being asked for
Oracle Database's reputation is built on decades of proven transactional reliability at scale. Whether a project needs that reliability, or is really asking for something a simpler database would serve just as well, is the first question worth answering.
Custom PL/SQL applications
Stored procedures, packages, and triggers for business logic that belongs close to the data — built with the same code-review discipline as application code, not treated as disposable database scripting nobody documents.
Database architecture and performance tuning
Query plan analysis, indexing strategy, and partitioning design for workloads where a slow query is a business problem, not just an inconvenience. Oracle's optimizer gives you real tools here — most performance problems are schema or query design issues, not the database's fault.
High-availability design
Real Application Clusters (RAC) for active-active clustering and Data Guard for standby replication and disaster recovery, configured for the actual recovery-time and recovery-point objectives your business needs — not the default settings.
Backup and recovery engineering
RMAN-based backup strategy, tested restore procedures, and point-in-time recovery configured before it's needed, not discovered to be missing during an actual outage.
Security architecture
Transparent Data Encryption, Virtual Private Database row-level security, and audit configuration for the data-protection requirements a regulated or sensitive-data workload actually has.
Migration
Moving a workload onto Oracle Cloud Infrastructure (OCI), between Oracle versions, or off Oracle entirely onto PostgreSQL or a managed cloud database — each is a genuinely different project with different risks, and we'll tell you honestly which one you're actually asking for.
The decision that matters most
Oracle Database versus the alternatives, decided honestly
Oracle earns its reputation on specific, real capabilities. It also carries real operational and licensing complexity that a lot of applications don't need to take on. Neither side of that tradeoff should be assumed by default.
Where Oracle's advanced features genuinely earn their cost
RAC's active-active clustering, advanced partitioning for very large tables, and decades-proven ACID guarantees under heavy concurrent write load are real advantages for financial, transactional, and other workloads where correctness under contention is non-negotiable.
Where a newer database is the more honest choice
PostgreSQL and managed cloud databases have closed most of the feature gap that used to separate them from Oracle, at meaningfully less operational and licensing complexity. For a greenfield application without Oracle-specific requirements already baked in, this is very often the better default.
Oracle Autonomous Database changes the operational calculus
Oracle's self-tuning, self-patching cloud database on OCI removes a lot of the traditional DBA overhead that used to be the main argument against Oracle for smaller teams — worth evaluating specifically if the appeal of Oracle is the engine, not the on-premises operational model.
Migrating off Oracle is a common, well-understood project
Businesses reduce Oracle footprint to cut licensing complexity, not because the database performs poorly. The engineering work is translating PL/SQL to the target database's procedural language and validating that query performance holds up — both very doable with the right planning, not a reason to avoid the decision.
The decision belongs to the workload, not the vendor relationship
An existing Oracle-backed system with years of PL/SQL investment is a different decision than a new application being scoped from scratch. We evaluate each on its own workload characteristics rather than defaulting either direction.
What's involved
Oracle engagement types
What moves the scope is less the database size and more whether the work is new PL/SQL development, a performance problem, a high-availability build-out, or a migration onto or off the platform.
| Engagement | Commitment | Timeline | What's included |
|---|---|---|---|
| Database architecture & performance audit | Fixed scope | 1 – 3 weeks | Query plan review, indexing and partitioning assessment, and a prioritized list of what's actually slowing the system down. |
| PL/SQL application development | Fixed scope | 4 – 12 weeks | Stored procedures, packages, and business logic built and code-reviewed with the same discipline as application-layer code. |
| High-availability build-out | Fixed scope | 4 – 10 weeks | RAC clustering or Data Guard standby replication configured to real recovery objectives, tested with an actual failover. |
| Migration to Oracle Cloud (OCI) | Fixed scope | 6 – 14 weeks | Moving an on-premises Oracle workload to Oracle Cloud Infrastructure, including Autonomous Database evaluation where it fits. |
| Migration off Oracle to PostgreSQL or a managed database | Fixed scope | 8 – 20 weeks | PL/SQL translation, schema conversion, and performance validation against the target database before cutover. |
| Ongoing DBA & development retainer | Ongoing retainer | Ongoing | Standing ownership of performance, backups, security patching, and PL/SQL development. |
Ranges assume US-based senior engineers with PL/SQL and Oracle DBA experience. The audit exists because performance problems are frequently a schema or indexing issue rather than a capacity problem, and it's the fastest way to find out which one you actually have.
Where Oracle earns its complexity
The workloads Oracle is actually built for
Oracle Database's operational and licensing complexity is a real cost. The question worth answering honestly is whether a given workload's requirements are the kind that complexity is buying you something for.
High-concurrency OLTP at real scale
Financial systems, order processing, and other transactional workloads with heavy concurrent writes and strict correctness requirements are where Oracle's decades of optimization for exactly this pattern pays off most directly.
Regulated industries with proven audit requirements
Oracle's long track record with auditors and compliance frameworks in finance, healthcare, and government is a real advantage when a system has to satisfy a specific, well-established audit process that already assumes Oracle's feature set.
Very large tables with partitioning needs
Oracle's partitioning capabilities handle tables with hundreds of millions or billions of rows in ways that keep both query performance and maintenance operations (like archiving old partitions) manageable.
Where a simpler database is the better fit
Read-heavy analytical workloads, greenfield applications without existing Oracle investment, and teams without dedicated DBA resources are usually served as well or better by PostgreSQL or a managed cloud database, without the licensing and operational overhead.
Licensing and support
The questions worth asking before you scale Oracle infrastructure
Oracle's licensing model is genuinely complex, and architecture decisions made without understanding it are one of the most common sources of unplanned cost and audit exposure in an Oracle-backed system. This is discussed here in terms of what to ask, not in dollar figures.
Processor-based versus Named User Plus licensing
Which model applies changes based on how the database is deployed and accessed, and the wrong assumption here can misalign infrastructure decisions with what's actually licensed. This is worth confirming with your own licensing terms before architecture decisions are locked in, not assumed.
Virtualization and "soft partitioning" is a known audit trap
Running Oracle on standard virtualization technologies that Oracle doesn't recognize as "hard partitioning" can create licensing exposure that isn't obvious from the infrastructure side alone. This is one of the most common findings in an Oracle licensing review, and it's cheaper to design around than to discover during an audit.
A licensing review belongs before a scaling decision, not after
Adding cores, nodes, or a DR environment can trigger licensing implications that are far easier to plan for in advance than to unwind after infrastructure is already built. This is a conversation worth having with your licensing terms in hand before any RAC or Data Guard build-out.
Support and patching cadence affects the architecture too
Oracle's security patch release schedule and end-of-support timelines for specific versions are worth factoring into an architecture plan the same way any vendor's lifecycle would be — a system built against a version approaching end of support is inheriting a migration project by default.
Related
Related services
What Oracle projects usually connect to.
Questions
Common questions about Oracle development
What teams ask before a first call.
Writes and maintains PL/SQL — stored procedures, packages, and triggers — that implement business logic close to the data, tunes query performance and indexing strategy, and works on high-availability architecture like RAC and Data Guard. This is a different, more specialized role than general application development, closer to a hybrid of software engineering and database administration.
What drives the number is the type of work — PL/SQL application development, a performance tuning engagement, a high-availability build-out, and a migration project all have meaningfully different scopes and timelines. A performance audit is usually the fastest way to find out what a given system actually needs before committing to a larger engagement.
It depends on whether your requirements are the kind Oracle's advanced features are genuinely buying you something for — high-concurrency OLTP, advanced partitioning at real scale, or regulatory frameworks already built around Oracle's feature set. For a lot of newer applications, PostgreSQL or a managed cloud database now covers the practical requirements at meaningfully less operational and licensing complexity.
We'll evaluate your specific workload rather than defaulting toward either answer, and we'll tell you plainly if migrating is more project than the licensing savings justify.
Moving an on-premises Oracle workload to OCI, and evaluating whether Autonomous Database's self-tuning, self-patching model fits your operational needs better than a traditional managed instance. This removes a lot of the DBA overhead that used to be the main argument against Oracle for smaller teams, without requiring a database migration off Oracle entirely.
Oracle's licensing model — processor-based versus Named User Plus, and its rules around virtualization and "soft partitioning" — has real implications for infrastructure decisions like adding cores, nodes, or a disaster-recovery environment. A licensing review before a scaling decision, done against your own licensing terms, is far cheaper than discovering exposure during an audit.
We don't publish or estimate licensing costs — that's a conversation for your own Oracle account team — but the architecture decisions that avoid exposure are something we plan for from the start.
Both, depending on what the engagement needs. PL/SQL application development — stored procedures, packages, business logic — is core development work we code-review like any other codebase. Database administration — performance tuning, backup and recovery, security configuration — is a related but distinct skill set, and many engagements need both.
RAC (Real Application Clusters) is active-active clustering — multiple instances accessing the same database simultaneously for high availability and horizontal scaling. Data Guard is standby replication for disaster recovery — a synchronized copy of the database ready to take over if the primary fails. They solve different problems and are often used together: RAC for availability within a data center, Data Guard for recovery across sites.
Yes. PL/SQL code, schema changes, and configuration are deployed under your own Oracle instance and your own cloud or on-premises infrastructure, with documentation and version history. That's the only arrangement that doesn't lock a database this central to your operations to a single vendor for its next tuning pass or its next migration.