Basic Package
1 Flink job with windowed aggregation from 1 str
$719USD / one-time
6-day delivery2 revisions
- 1 Flink job with windowed aggregation from 1 stream
Omeiro Data Analytics
Apache Flink Consulting Services
Packages & Pricing.
Fixed-price apache Flink consulting with clear deliverables. Complex Event Processing at scale. We deploy clustered Apache Flink jobs executing stateful windowed aggregations across millions of live IoT and user events. From $719.
Clear Delivery Times
Revisions Included
Packages
Choose your Apache Flink Real-Time CEP package
Complex Event Processing at scale. We deploy clustered Apache Flink jobs executing stateful windowed aggregations across millions of live IoT and user events.
Standard Package
4 stateful jobs, CEP patterns, checkpointing, si
$1,599USD / one-time
12-day delivery2 revisions
- 4 stateful jobs, CEP patterns, checkpointing, sink to warehouse
- docs
Premium Package
Production cluster, 10 jobs, monitoring, scaling
$3,199USD / one-time
20-day delivery2 revisions
- Production cluster, 10 jobs, monitoring, scaling
- 30 days support
Apache Flink consulting for real-time event processing
Apache Flink consulting puts live streams of events to work as they arrive. Omeiro deploys stateful Flink jobs that run windowed aggregations across millions of IoT and user events, with complex event pattern detection.
Streaming suits cases where acting in seconds matters more than waiting for tomorrow's batch.
Apache Flink consulting: event shape, state and windows
Apache Flink consulting begins with the shape of your events: arrival rate, ordering, late data and what a correct answer means. Those decide window types, watermarks and how much state a job must keep. Share sample events, expected volumes and latency targets. State size is the main cost driver, so we look for ways to keep it bounded, such as expiring old keys or aggregating early. Choosing the right state backend and parallelism avoids surprises later.
Complex event processing finds sequences, such as a failed login followed by a password change and a large transfer within a short time. Good Apache Flink consulting expresses those patterns clearly, tests them with recorded data and sets up monitoring for lag, checkpoint duration and backpressure. Premium covers a production cluster with scaling, so traffic spikes are handled by design, not by surprise.
Who needs stream processing
- IoT companies handling sensor data.
- Apps needing flink real time processing services for live metrics.
- Teams wanting complex event processing development for fraud or alerts.
- Engineers needing flink cluster deployment help.
Jobs and extras by package
- Basic Package: 1 Flink job with a windowed aggregation from 1 stream.
- Standard Package: 4 stateful jobs with CEP patterns, checkpointing and a sink to your warehouse.
- Standard includes documentation.
- Premium Package: a production cluster with 10 jobs, monitoring and scaling.
- Premium includes 30 days of support.
How a Flink job is delivered
1
Define the stream
We agree sources, events and goals.
2
Write the job
Windows and state are coded.
3
Add checkpoints
State survives failures.
4
Deploy
Jobs run on a cluster with monitoring on Premium.
Why Omeiro for streaming
Known costs
Packages cost $719, $1,599 or $3,199, one-time.
Dates stated
Delivery is 6, 12 or 20 days.
Data neighbours
Apache Spark Consulting and IoT Data Pipeline Development sit in the same Data Analytics division.
FAQ
Apache Flink Consulting: common questions
Apache Flink Consulting pricing: how much does it cost?
Fixed packages: Basic $719, Standard $1,599, Premium $3,199. You see the full price before you order, and you can also ask for a custom quote.
How long does Flink real time processing take?
Delivery depends on the package: Basic 6-day delivery; Standard 12-day delivery; Premium 20-day delivery.
What is included in the Basic Package?
The Basic Package includes: 1 Flink job with windowed aggregation from 1 stream. Higher packages add more scope, revisions and support.
Can I get a custom complex event processing development package?
Yes. If none of the packages fits, use the custom package form on this page to describe what you need, and our team sends you a fixed price.
Flink or Spark?
Flink suits low-latency streaming, while Spark suits large batch work.
Do I need Kafka?
A stream source such as Kafka is typical.
What is checkpointing?
Saving state so a job resumes after failure.
Where do results go?
To your warehouse or another sink.
What is a watermark in Flink?
A watermark tells Flink how far event time has progressed, so it knows when a window can be closed. It balances waiting for late events against producing results quickly.
What is the difference between batch and stream processing?
Batch processing works on a fixed set of data at intervals, while stream processing handles events continuously as they arrive. Streaming suits cases where decisions or alerts cannot wait for the next run.
Custom Package
Didn't find what you're looking for?
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