
Logiciel builds real-time data pipelines that capture, process, transform, and deliver data with sub-second latency. From streaming architectures to event-driven systems, pub/sub pipelines, CDC frameworks, and real-time analytics, we engineer data infrastructure that powers modern AI systems, dashboards, and customer-facing applications.
Modern businesses operate in real time. Batch processing slows you down:
Real-time pipelines deliver:
Real-Time Pipelines
Kafka, Kinesis, Pulsar, DynamoDB Streams, EventBridge
Outcomes: reliable, high-throughput ingestion
Stream processors, enrichment, aggregation, retries
Tools: Flink, Spark Streaming, Lambda
Outcomes: clean, transformed, actionable data
Sync databases in real time for microservices, search, ML updates
Tools: Debezium, AWS DMS, Kafka Connect
Parsing, enrichment, validation, anomaly detection
Tools: Spark Structured Streaming, Flink, AWS Glue
QuickSight, Grafana, Kibana, custom dashboards
Instant visibility & better decision-making
Elasticsearch, OpenSearch, Pinecone, Weaviate
Low-latency indexing for improved user experience
Streaming inference, embeddings, RAG context injection
Tools: SageMaker, MLflow, Triton Server
Lag, throughput, error tracking, alerts, schema evolution
Tools: Datadog, Prometheus, CloudWatch
Define SLAs, tools, throughput, cost
Build ingestion, processing, storage, serving
Load testing, monitoring setup, failure simulation
Tune partitions, throughput, cost, resilience
Expand pipelines, ML, analytics layers
Expert in real-time systems & streaming architectures
AWS + Kafka + Flink + Spark Streaming specialists
Proven enterprise-scale pipelines handling millions of events/day
Strong AI/ML integration capability
Performance, resilience & observability-first approach



Teams that needed to ship fast, and did. Here's what partnering with Logiciel felt like from the inside.
Yes, hybrid architectures are common.
Yes, modernizing brittle ETL is a core specialization.
Designed for enterprise scale (from thousands to millions of EPS).
Absolutely, embeddings, inference, anomaly detection, and RAG.
Kafka, Kinesis, Flink, Spark Streaming, Lambda, Debezium, Redis, more.
Start your real-time data engineering transformation today.