Data Engineering & Data Platform Teams
Transactional Database CDC to Search & Graph
Stream changes in real-time from operational databases directly into vector databases, search indices, and graph stores with zero lag.
Veloctra
High-speed vectorized streaming ETL. Zero JVM pauses.
Columnar streaming engine powered by PyArrow C++ and Polars. Ingest, transform, and encrypt over 120,000 rows/sec with zero data loss, automated MemoryGuard backpressure, and hardware-accelerated AEAD encryption.
120k+
Rows / Sec Throughput
0
Data Loss (Row DLQ)
AEAD
Hardware Encrypted
75%
Ceiling Backpressure
Architecture & ROI
Why enterprises replace legacy streaming pipelines with Veloctra
Traditional streaming stacks suffer from unpredictable JVM garbage collection pauses, ballooning compute footprints, and high maintenance overhead. Veloctra brings modern C++ vectorized efficiency to your data tier.
⚡
Zero-JVM Garbage Collection
PyArrow C++ and Polars handle columnar batch transformations natively. No sudden GC stop-the-world pauses; just sustained, deterministic sub-second processing.
🛡️
MemoryGuard Backpressure
Active memory ceiling protection monitors process RAM in real time. At 75% utilization, Veloctra throttles ingestion gracefully, guaranteeing zero Out-Of-Memory (OOM) crashes.
🔐
Double Envelope AEAD Encryption
Hardware-accelerated authenticated encryption with associated data. Protect sensitive customer, financial, and healthcare records in transit and at rest.
🎯
Row-Level Dead Letter Queue
Corrupted or malformed events are automatically quarantined to a dedicated DLQ with detailed error metadata without interrupting the rest of the stream.
💰
60%+ Cloud Infrastructure Savings
Vectorized execution consumes far fewer CPU cycles and RAM than Java-based alternatives, allowing you to run massive workloads on smaller, cost-effective instances.
🔄
Seamless CDC & Downstream Sync
Native connectors stream change-data-capture feeds directly to Anvesh search indices, VaagaGraph databases, and modern data warehouses.
Commercial Use Cases
Where Veloctra delivers mission-critical value
Engineered for data engineering and platform teams demanding high throughput, security, and low operational overhead.
IoT & Telemetry Providers
High-Volume Telemetry & Log Ingestion
Process millions of sensor, IoT, and user activity events per minute with predictable low compute costs and ironclad reliability.
Fintech & Banking Systems
Regulated Financial Data Feeds
Process sensitive transaction records with end-to-end envelope encryption, strict auditability, and zero packet drop guarantee.
Technical Standards
Built to meet strict enterprise reliability requirements
Zero data loss, automatic failover, and strict telemetry baked into the core engine.
✓Eliminates JVM garbage collection pauses for consistent, deterministic sub-second processing
✓MemoryGuard proactively triggers backpressure at a configurable safety threshold (default 75%) to prevent out-of-memory failures and guarantee pipeline continuity
✓Double Envelope AEAD encryption guarantees enterprise data privacy and regulatory compliance
✓Row-level Dead Letter Queue (DLQ) isolates malformed records without halting pipeline flow
Ready to benchmark Veloctra against your current ETL?
Let our data engineers benchmark Veloctra with your highest-throughput streams. We will demonstrate latency, throughput, and cloud cost reductions on your actual data.
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