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DirectoryData & AnalyticsStreaming & Real-Time AnalyticsTalend Data Streams

Talend Data Streams

About Talend Data Streams

Talend Data Streams is a comprehensive enterprise solution designed to enable real-time data streaming and integration across complex IT environments. It empowers organizations to collect, process, and analyze streaming data efficiently, ensuring data reliability and accessibility for critical business operations. The platform supports continuous data flows, enabling enterprises to respond swiftly to evolving data insights and operational needs.

Targeted primarily at large enterprises with extensive data integration requirements, Talend Data Streams facilitates seamless connectivity across various data sources and cloud platforms. Its unified architecture supports data integrity, governance, and application integration, making it suitable for industries such as financial services, healthcare, government, and retail. By leveraging Talend’s Trust Score technology, organizations can enhance data quality and trustworthiness, driving better decision-making and operational efficiency.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of Talend Data Streams. It comes from our Streaming Data & Event Processing buyer guide.

25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow

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Quick Facts

www.talend.com/resources/what-streaming-data
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics

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