VERA Engine. Stream Processing, Supercharged.

2x the throughput
40% lower cost
Sub-10ms latency

Binary-compatible with Apache Flink. Every existing Flink job runs faster. Zero code changes.

What Is the VERA Engine?

VERA is Ververica's proprietary stream processing engine. It is binary-compatible with Apache Flink, meaning every existing Flink application runs on VERA without code changes. VERA delivers 2x throughput, 52% lower resource usage, and sub-10ms latency through adaptive query planning, optimized memory management, and operator fusion.

Performance Advantages

Engine Behind the Platform

2x Throughput

VERA processes double the volume of open-source Apache Flink on identical hardware. Benchmarked on production workloads, not synthetic tests. Same data, same jobs, twice the speed.

40% Lower TCO

Total cost of ownership reduction across compute, operations, and infrastructure. Fewer nodes for the same workload. Lower cloud spend. Smaller operational team.

Sub-10ms Latency

End-to-end processing latency at the 99th percentile under sustained load. From record ingestion to output delivery. Measured, not estimated.

6.9B Records/Sec

Peak throughput on production-grade hardware. Processing at a scale that covers the largest enterprise workloads on the planet.

52% Lower Resource

Same workload. Fewer CPUs. Less memory. Smaller cluster. The efficiency gains compound at scale.

Five proprietary optimizations working together.

How Does VERA Achieve 2x Performance?

Adaptive Query Planning

VERA analyzes data characteristics at runtime and adjusts execution plans continuously. Static query plans waste resources on changing data. Adaptive plans do not.

Optimized Memory Management

Custom memory allocation reduces garbage collection pressure. Off-heap state storage eliminates JVM pauses. Predictable latency under sustained high throughput.

Operator Fusion

VERA merges multiple operators into single execution units where safe. Fewer serialization boundaries. Fewer network shuffles. Less overhead per record.

Advanced State Backend

Purpose-built state backend optimized for streaming access patterns. Faster state reads and writes. Incremental checkpointing with minimal I/O overhead.

JIT Compilation

Just-in-time code generation for SQL queries and user-defined functions. Machine-optimized execution paths generated at deployment time, not interpreted at runtime.

VERA Key Capabilities

Binary Compatibility

Run any existing Apache Flink application on VERA. JARs, connectors, UDFs, and libraries. No recompilation. No code changes. Drop in and run faster.

SQL and DataStream API

Full Flink SQL support for declarative stream processing. Full DataStream API for programmatic control. Both run on the same optimized engine.

State Management

Maintain state across billions of keys with exactly-once guarantees. Queryable state for external access. State migration between application versions without downtime.

Intelligent Auto-Scaling

VERA monitors throughput, backpressure, and resource utilization. Scales parallelism up during traffic spikes and down during quiet periods. No over-provisioning. No manual scaling.

Event Time and Watermarks

Process events based on when they occurred, not when they arrived. Watermark tracking handles late and out-of-order data correctly across distributed processing.

Distributed Checkpointing

Incremental checkpoints with minimal performance impact. Configurable intervals. Automatic recovery from any failure. Zero data loss guaranteed.

VERA Engine vs.
Open-Source Apache Flink

Capability	VERA Engine	Open-Source Flink
Throughput	6.9B records/sec	~3.4B records/sec
Latency (p99)	Sub-10ms	20-50ms
Resource Efficiency	52% lower	Baseline
TCO	40% lower	Baseline
Auto-Scaling	Built-in, adaptive	Manual or basic reactive
Query Optimization	Adaptive, runtime	Static plan
State Backend	Optimized, proprietary	RocksDB
Multi-Tenancy	Native	Not supported
Governance	RBAC, audit, lineage	Not included
Managed Operations	Full platform	DIY
Binary Compatibility	Full Flink API	N/A
Enterprise Support	24/7, SLA-backed	Community

Frequently Asked Questions

What is the VERA engine?

VERA is Ververica's proprietary stream processing engine, binary-compatible with Apache Flink. It delivers 2x throughput through adaptive query planning, optimized memory management, and operator fusion. Every Flink application runs on VERA without code changes.

Is VERA a fork of Apache Flink?

No. VERA is binary-compatible with Flink, not a fork. It replaces critical execution paths with proprietary optimizations while maintaining full API compatibility. All Flink connectors, libraries, and applications run unchanged on VERA.

Can I migrate from open-source Flink to VERA without code changes?

Yes. Take your existing Flink application JAR and deploy it on the Ververica Platform. No recompilation, no code changes, no connector rewrites. VERA applies all optimizations automatically. State snapshots from open-source Flink are compatible.

How does VERA achieve 2x throughput?

Five optimizations: adaptive query planning adjusts execution at runtime, optimized memory management reduces GC pressure, operator fusion merges execution units, an advanced state backend accelerates reads and writes, and JIT compilation generates machine-optimized code.

Does VERA support exactly-once processing?

Yes. VERA provides end-to-end exactly-once semantics through distributed checkpointing, two-phase commit sinks, and transactional state management. Every record is processed exactly once, even during failures and recovery.

What programming languages does VERA support?

VERA supports Flink SQL, Java, Python, and Scala. SQL analysts and software engineers work on the same engine. All four interfaces produce applications that benefit from VERA's performance optimizations equally.

Run Your Flink Jobs 2x Faster

Same code. Same connectors. Double the throughput. 40% lower cost. Deploy your existing Flink application on VERA today.

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