Indexes Are Live on Space and Time

Indexes are now supported in the Space and Time Managed Database.

This update brings a core performance primitive to the Space and Time ecosystem, making it easier for teams to build, scale, and optimize data-driven applications alongside Space and Time’s broader data and verification infrastructure.

Indexes unlock faster queries, more efficient joins, and better performance as datasets grow. For teams already using the managed database for analytics, application backends, or financial workflows, this addition enhances query performance and expands the optimization tools available.

Why indexes matter

Indexes are foundational to how relational databases perform at scale. They allow queries to efficiently locate rows without scanning entire tables, which becomes critical as data volume and query complexity increase.

Without indexes, even well-written SQL can struggle under real workloads. Queries slow down, joins become expensive, and applications that work fine in early stages hit performance ceilings as usage grows.

With index support now available, the Space and Time ecosystem can better support:

• Fast lookups on frequently queried columns
• Efficient joins across large datasets
• Lower-latency reads for application backends
  
  
• More responsive dashboards and analytics queries

For teams working with financial data, behavioral events, or time-series records, this translates directly into better performance and a smoother path to scale.

What this unlocks for developers

The Space and Time Managed Database is designed to complement the rest of the Space and Time stack. It gives developers a familiar SQL environment that fits naturally alongside verifiable queries, indexing services, and onchain-connected systems.

With indexes now available, developers can:

• Design schemas with performance in mind from the start
• Optimize read-heavy workloads without restructuring data
• Scale applications as usage grows without rewriting queries
• Use standard SQL optimization patterns they already know

Indexes can be applied to commonly queried fields such as timestamps, wallet addresses, asset identifiers, user IDs, or transaction references. This enables developers to tune performance based on real query patterns rather than relying on workarounds or premature architectural changes.

Built for real application and analytics workloads

The Space and Time Managed Database is used by teams building:

• Application backends that require fast, reliable SQL reads
• Analytics pipelines aggregating protocol or user activity
• Financial reporting and reconciliation workflows
• Dashboards that power internal or customer-facing insights
• Systems that prepare data for downstream verification or settlement
  
  

Index support strengthens all of these use cases. Queries that previously required careful optimization or data partitioning can now be handled more directly, making the managed database suitable for more demanding production workloads.

This also makes it easier for teams to bring existing SQL workloads into the Space and Time ecosystem without sacrificing performance or developer ergonomics.

Available now

Index support is live and available today.

For teams already using Space and Time, this update should immediately improve query performance and unlock new optimization strategies. For teams evaluating Space and Time, it highlights the continued expansion of performance and scalability features. As Space and Time continues to expand its data infrastructure, improvements like this ensure that every layer of the stack works together cleanly and predictably.