Native high-resolution timestamps for experiments, semiconductors, and simulation
Software should not be the precision limit.
If your instruments need picosecond timestamps, or finer, Quasar keeps them:
- NATIVEin the query language
- EFFICIENTin memory for scans and aggregations
- COMPACTon disk through Delta4C v2 compression
No timestamp hacks.
At picosecond resolution, representation matters.
High-resolution time usually comes with high-volume data.
Picosecond-scale traces, detector events, simulation outputs, and RF captures do not arrive as isolated rows. They arrive as streams, bursts, runs, and files large enough to make representation matter.
At that scale, timestamp precision is not just a type-system question. It affects query semantics, scan behavior, storage footprint, and how much timestamp logic leaks into the application.
- Sub-nanosecond time managed with database workarounds
- Timestamp logic moves into application code
- Queries lose native time semantics
- Storage and scan behavior become harder to reason about
The usual path
Measured time
Events arrive at picosecond, femtosecond, or finer resolution.
Encoding workaround
Time is split, rounded, packed into integers, or handled outside the database.
Query debt
Filtering, joining, windowing, and debugging now depend on custom timestamp logic.
Quasar path
Original precision
Keep the time resolution produced by instruments, simulations, and acquisition systems — even at attosecond scale.
Native Quasar time
Use ultra-high-resolution timestamps directly in the query language.
Scans, compression, analytics
Keep time efficient for aggregation and compact on disk through Delta4C v2 compression.
Physics already gives you enough constraints. Your database does not need to add one.
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Time stays time Ultra-high-resolution timestamps remain native instead of becoming a second column, an integer convention, or application-side interpretation.
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Precision does not break the query model Range filters, ordering, joins, and analytical access can operate on timestamps as timestamps.
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Designed for high-volume workloads High-resolution timestamps usually come with high-volume data. Quasar is built for continuous ingestion, large histories, and compression of numerical and time-series workloads.
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Fits your toolchain No special island for high-resolution time. Keep using SQL, APIs, and analytical tools against the same dataset.
Where this matters
Semiconductor metrology and process data
Inspection, test, and process tools generate dense measurement streams where timing, ordering, and correlation need more than ordinary application timestamps.
Detector and acquisition systems
Digitizers, detectors, and data acquisition systems can produce dense, precisely timestamped streams. Quasar gives those streams a storage and query layer that preserves precision without turning time into custom payload.
Photonics, RF, radar, and simulation traces
Waveforms, pulses, and simulated time-domain signals can require sub-nanosecond alignment across large traces. Quasar keeps that time axis native, queryable, and compact enough to analyze at scale.
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