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Deploy CrateDB where your data resides. CrateDB can be used as a fully managed service (DBaaS) or deployed on your preferred infrastructure.

Professional Packages

Professional Packages help teams move faster and reduce risk at every stage of their CrateDB journey.

Whether you are designing a new real-time analytics platform, migrating existing workloads, or operating CrateDB in production, these packages provide structured expertise, proven best practices, and hands-on guidance from CrateDB experts.

Organized across Build, Run, and Migrate, each package is designed to accelerate time to value, ensure production readiness, and give teams confidence as their data, workloads, and business requirements evolve.

Target Audience: Developers, Dev-Ops, Data Engineers

Duration: 3 days

The Developer Package helps technical teams design a solid CrateDB foundation from day one. It combines architectural guidance with practical best practices to ensure performance, scalability, and production readiness as workloads grow.​

Architecture & Core Concepts​

  • Overview of CrateDB architecture and core components
  • Distributed SQL engine​ fundamentals
  • Data sharding and replication​ strategies
  • Cluster management and storage engine design​

Query Optimization & Data Modeling

  • Efficient query design for analytical and real-time workloads​
  • Indexing strategies aligned with access patterns
  • Data modeling best practices for structured and semi-structured data
  • Performance tuning techniques for low-latency analytics

Scalability & High Availability

  • Horizontal and vertical scaling strategies
  • High availability and fault tolerance design
  • Best practices for ingesting high-volume data streams

Capacity Planning & Sizing​​

  • Workload analysis to determine optimal cluster sizing
  • Guidance on resource allocation and growth planning
  • Recommendations to support future data and query growth

Infrastructure Planning​

  • Deployment recommendations for on-premise, cloud, or hybrid environments
  • Architecture considerations based on operational constraints and SLAs

Target Audience: Dev-Ops, Administrators

Duration: 1.5 days

The Go Live! Package ensures your CrateDB deployment is production ready, resilient, and fully validated before handling real workloads. It focuses on risk reduction, performance validation, and operational confidence during the critical launch phase.

Pre-launch Assessment

  • Comprehensive readiness audit prior to go-live
  • Validation of CrateDB configuration and cluster settings
  • Review of deployment architecture

Data Migration

  • Migration of legacy data into CrateDB
  • Custom tools and scripts to automate and accelerate migration
  • Validation of data integrity and completeness

Performance Tuning & Load Testing

  • Final optimization for production workloads
  • Load and stress testing to validate performance under real conditions
  • Identification and mitigation of bottlenecks

Monitoring & Alerting Setup

  • Configuration of real-time monitoring and alerting
  • Definition of key health and performance indicators
  • Validation of observability and operational visibility

Disaster Recovery & Failover Testing

  • Review and validation of disaster recovery strategies
  • Failover testing to ensure high availability
  • Verification of resilience under failure scenarios

Final Go-Live Support

  • Hands-on expert support during the go-live phase
  • Post-launch health checks and monitoring
  • Knowledge transfer to operational teams

Target audience: Developers, Dev-Ops, Data Engineers

Duration: 3 days​

The Tuning-up & Optimization Package helps teams get the most out of their existing CrateDB deployment. It focuses on identifying performance bottlenecks, improving query efficiency, and ensuring resources are used effectively as workloads evolve.

Performance Assessment

  • In-depth analysis of current CrateDB deployment performance
  • Identification of bottlenecks in query execution

Query Optimization

  • Comprehensive audit of slow or resource-intensive queries
  • Recommendations for query restructuring and optimization

Indexing & Storage Optimization

  • Review of existing indexing strategies
  • Recommendations for partitioning and shard management to improve performance

Resource Utilization

  • Assessment of CPU, memory, and disk usage across the cluster
  • Identification of inefficiencies and contention points

Scaling & Load Distribution

  • Evaluation of current scaling strategies and load distribution across nodes
  • Load balancing recommendations to ensure consistent performance

Ongoing Maintenance & Continuous Improvement

  • Setup or refinement of performance monitoring tools to track key metrics
  • Scheduled tune-up sessions for ongoing optimization
  • Recommendations to support future workload growth

 

Target audience: Developers, Administrators, Dev-Ops, Architects​

Duration: 5 days

The Legacy Migration Package helps organizations transition safely and efficiently from existing database systems to CrateDB. It focuses on minimizing risk and downtime while ensuring data integrity, performance, and production readiness throughout the migration process.

Migration Planning and Strategy

  • Comprehensive assessment of your current database architecture and workloads.​
  • Migration strategies for legacy databases​
  • Step-by-step migration planning​

Legacy Database Migration​

  • Seamless migration from legacy databases (e.g., PostgreSQL, MySQL, or NoSQL solutions) to CrateDB.​
  • Schema mapping and conversion to ensure compatibility with CrateDB’s distributed SQL model.​
  • Automated and manual tools for data migration with minimal downtime and data integrity checks.
  • Data integrity validation throughout the migration process

CrateDB Installation & Environment Setup

  • Planning and guidance for CrateDB installation on on-premise, cloud, or hybrid environments
  • Cloud infrastructure setup on AWS, Azure, or GCP
  • Best practices for scalability, availability, and cost efficiency

Data Synchronization & Cutover

  • Data synchronization between legacy systems and CrateDB during transition
  • Cutover planning to ensure a smooth switchover with minimal disruption

Post-migration Validation & Optimization

  • Data integrity checks and validation
  • Performance tuning after migration
  • Security and compliance review to ensure production readiness

Target audience: Administrators, Dev-Ops, Architects

Duration: 1.5 days

The Cloud Migration & Upgrade Package supports teams moving CrateDB from on-premise environments to cloud or hybrid deployments. It focuses on minimizing downtime, preserving data integrity, and ensuring the target environment is secure, scalable, and cost efficient.

Migration Planning & Strategy

  • Comprehensive assessment of current architecture and workloads
  • Migration strategies for on-premise to cloud or hybrid transitions, including upgrades
  • Step-by-step migration planning and execution roadmap

On-Premise to Cloud / Hybrid Migration

  • Guidance and planning for migrating CrateDB to cloud or hybrid environments
  • Cloud infrastructure setup on AWS, Azure, or GCP
  • Best practices for scalability, availability, and cost efficiency
  • Data synchronization between on-premise and cloud environments

Post-migration Validation & Optimization

  • Data integrity validation after migration
  • Performance tuning in the target environment
  • Security and compliance review to ensure production readiness

Target audience: Developers, Data Engineers, Administrators, Dev-Ops, Architects​

Duration: variable

The Resident Engineer Package provides flexible, ongoing access to CrateDB experts who work closely with your teams on architecture, development, and operations. It is designed for organizations that want to accelerate adoption, resolve complex challenges faster, and continuously optimize their CrateDB environments.

What’s Included

  • Prepaid service hours for expert consulting, development, and implementation
  • Support across multiple workstreams, including architecture design, performance optimization, data integration, and operations
  • Flexible use of hours over a defined period, such as quarterly or annually
  • Delivery either remotely or onsite, depending on engagement needs

Typical Use Cases

  • Accelerating platform adoption and best practices
  • Supporting complex or evolving architectures
  • Ongoing performance tuning and optimization
  • Assisting teams during critical projects or scaling phases