Selecting a provider for database managed services provider (MSP) isn't a simple vendor choice. It's a critical decision that affects your stability, performance, and scalability. To move beyond costly, reactive "break-fix" cycles, you need a proactive partner.
Use this checklist to evaluate database managed service providers. A good partner helps you cut costs and adds value as your primary IT partner.
The best-in-class database managed service providers distinguish themselves by offering specialized support and deep operational maturity. View our list of database managed service providers you can evaluate to find the right fit for you.
Here is the key criteria to look for in a database managed service provider:
What to ask: How have you saved customers money? Share case studies or a list of customers you helped achieve significant savings.
What to look for: It is obvious that outsourcing database managed services will save you money. Managing an in-house team of database administrators (DBAs) across multiple technologies is expensive. Look for other ways the database managed service provider will add value, further reduces costs, and delivers more for less.
Pythian ensures our customers reduce their operational database costs by up to 60% every year.
What to ask: How can you optimize our database performance? Share examples where you improved performance. What other support can you provide after you hit these milestones?
What to look for: Does the provider have hard numbers to back up their claims? Can the database managed service provider (MSP) partner with your business for the long term, or do they only offer database management and DBA support?
Pythian’s database managed service delivers proactive performance optimization and recommendations. Before we take over your database management and DBA support, we evaluate your current data estate. We check if your databases are configured correctly, if you should upgrade versions, and where they are slowing you down.
Many of Pythian's global customers have been with us for decades. We start at the foundation by helping businesses save money with better database management. Our service doesn't stop there. We then help customers with:
Make sure your database managed service provider can serve you as your business grows and evolves.
What to ask: Can you deliver 24/7 coverage, including holidays and weekends?
What to look for: Ask for proof of a global delivery team to ensure continuous coverage. Regardless of your time zone, you need a database managed service provider (MSP) who responds when you need them most.
Pythian delivers 24/7 database managed service with global coverage.
What to ask: What are your response times? Can I see your service level agreement (SLA) and Service Level Objective (SLO) processes, including people and timelines?
What to look for: Look for strict SLAs for response and resolution times, especially for critical P1 issues. A provider needs 24/7 coverage and fast response times.
| Service level category | P1 | P2 | P3 | P4 |
| Definition | Percentage of P1 tickets acknowledged and actioned within 15 minutes. | Percentage of P2 tickets acknowledged and actioned within 60 minutes. | Percentage of P3 tickets acknowledged and actioned within 4 hours. | Percentage of P4 tickets acknowledged and actioned within 5 business days. |
| Expected service level | 95% | 90% | 90% | 90% |
| Min. service level | 90% | 80% | 80% | 80% |
| Measurements | The average of all P1 response time over the monthly measurement period. | Total number of all P2 tickets updated within the predefined SLA window to an In Progress or Resolved status / total number of P2 tickets. | Total number of all P3 tickets updated within the predefined SLA window to an In Progress or Resolved status / total number of P3 tickets. | Total number of all P4 tickets updated within the predefined SLA window to an In Progress or Resolved status / total number of P4 tickets. |
| Measurement period | Monthly | Monthly | Monthly | Monthly |
| Data source | Pythian ticketing system | Pythian ticketing system | Pythian ticketing system | Pythian ticketing system |
What to ask: What database monitoring tools do you provide or support?
What to look for: Good database monitoring tools move beyond simple server health checks to offer deep, proactive insights. Look for a dedicated governance model, regular performance reviews, and real-time dashboard reporting with clear metrics on availability, security, and resource consumption.
Pythian supports our customers' existing monitoring tools. We also offer our own tool that provides a real-time view of database performance and optimization metrics.
| Area | Key features to look for | Why it matters |
| Real-time and granularity | Real-time monitoring: Continuous, low-overhead data collection. | Enables immediate detection and response to issues, especially critical for high-availability systems. |
| Query-level analysis: Tracks individual SQL query performance, execution plans, and resource consumption. | Identifies slow, inefficient queries and resource bottlenecks—the root cause of most performance degradation. | |
| Metrics coverage | Resource utilization: Monitors CPU, memory, Disk I/O, and network throughput of the host server. | Helps differentiate between a database problem and an underlying infrastructure problem. |
| Database throughput: Tracks transactions/queries per second, cache hit ratios, and connection pool utilization. | Measures the actual workload and efficiency of the database engine itself. | |
| Alerting and prediction | Intelligent anomaly detection (AIOps): Uses Machine Learning (ML) to detect unusual patterns before they breach thresholds. | Reduces alert fatigue and provides a proactive warning system. |
| Customizable/tiered alerts: Allows for severity levels (P1, Warning) and routing to different channels (SMS, Slack, ticketing system). | Ensures the right person is notified instantly based on the issue's business impact. | |
| Usability | Unified and customizable dashboard: Provides a holistic, at-a-glance view across multiple database instances/platforms. | Improves user experience, reduces troubleshooting time, and prevents information overload. |
| Historical data: Stores performance metrics long-term (e.g., 90-365 days) for trend analysis and capacity planning. | Essential for post-mortem analysis and predicting future resource needs. | |
| Platform compatibility | Cross-platform/vendor agnostic: Supports all your database types (e.g., Oracle, SQL Server, Postgres, MySQL) and cloud services (AWS RDS, Azure DB) from a single interface. | Reduces tool sprawl, complexity, and operational silos. |
What to ask: How can you create greater efficiencies with our database operations? Share examples of where you’ve done this for customers.
What to look for: The future of DBA is automated. The future of DBA is automated. Look for a service that moves beyond simple scripting to embrace intelligent automation—often referred to as AIOps. This shift reduces human error, ensures consistency across complex environments, and drastically lowers the mean time to resolution (MTTR) for incidents.
A top database managed service provider leverages artificial intelligence for IT operations (AIOps) to move beyond simple thresholds. They should use machine learning to detect anomalies, predict performance bottlenecks before they cause downtime, and automate routine patching and maintenance tasks.
The right database managed service provider must be able to demonstrate:
What to ask: What technologies do your teams support? Can you show me a list of credentials and certifications?
What to look for: Your partner should have certified expertise across all major database types (e.g., Oracle, SQL Server, PostgreSQL, MySQL) and complex cloud-native services (e.g., AWS RDS/Aurora, Azure Database, Google Cloud SQL). This prevents technology lock-in and allows for hybrid or multi-cloud architecture management.
Pythian has been delivering database managed service for over three decades. We have a large roster of database administrators and consultants across more than 45 database and cloud technologies.
| Relational databases | Non-relational databases | Cloud databases | Data lakes and data warehouses |
| Oracle | MongoDB | OCI DBCS & ADB | Google BigQuery |
| Oracle Exadata | Cassandra | Amazon RDS | Amazon Redshift |
| Microsoft SQL Server | HBase | Amazon Aurora | MS Synapse Analytics |
| MySQL | Scylla | Amazon DynamoDB | Azure Data Lakes Storage |
| PostgreSQL | CockroachDB | Azure SQL Database | Oracle Exadata |
| IBM DB2 | Neo4j | Azure Cosmos DB | Oracle Autonomous Database |
| Sybase | GraphDB | Google Cloud Datastore | Snowflake Cloud Data Warehouse |
| Informix | Google Cloud Spanner | Hadoop | |
| SAP HANA | Google Cloud SQL, BigTable | Spark | |
| MaxDB, Vertica DB | Google AlloyDB | Netezza |
What to ask: How are security, compliance auditing, and disaster recovery planning integrated into your standard service offering, rather than billed as separate projects?
What to look for: Security must be foundational, not an add-on. A reliable database managed service provider integrates protection into every operational process. The database managed service provider should have services that include continuous security patching, vulnerability assessments, access control management, and established protocols for compliance (GDPR, HIPAA, etc.). They must provide a robust, tested disaster recovery (DR) plan with clear recovery time objectives (RTOs) and recovery point objectives (RPOs).
When evaluating database managed service providers, you must ensure they can deliver the following essential services:
Pythian ensures that security, compliance and disaster recovery is at the forefront of our database managed service. We conduct security assessments during onboarding to provide recommendations and an optimizations roadmap that we can implement as part of your annual contract.
What to ask: How quickly can you adjust resources and staffing to accommodate sudden spikes in demand or sustained organizational expansion without impacting my SLAs?
What to look for: The service model must be fully scalable. Scalability in is not just about adding more cloud hardware; it's about the database managed service providers flexibility to meet unpredictable business demands.
When evaluating database managed service providers, ensure they can provide:
This guaranteed elasticity means you can execute growth strategies or manage unexpected events with confidence, knowing your database support will instantly match your needs without requiring you to hire and train new staff.
Included in Pythian’s database managed service is add-on advanced hours to help accelerate projects with access to consultants (as and when you need them).
What to ask: What flexible contracting models do you offer to ensure our service scales with our business needs—up or down—without penalties?
What to look for: Look for flexible contracting focused on pricing, terms, and the ability to adapt the agreement to your business cycles. A top provider's contracting model should include:
Pythian database managed service offers:
Easy contracting tailored for your specific business needs
A short-term, annual managed service provider commitment
Access to certified experts for on-tap advice, built right into your contract
If your current database service provider doesn't meet all ten of these criteria or cannot answer your questions, your business is exposed to unnecessary risk and hidden costs. Strategic database managed services are designed to be a clear competitive advantage, not a reactive necessity.