Best Streaming Data Platforms (2026): Top 7 Compared

Confluent sells Confluent Cloud, a managed service, and Confluent Platform, a self-managed distribution. IBM completed its acquisition of Confluent on 17 March 2026, according to IBM's quarterly filings, and positions it as a real-time data layer alongside watsonx.data and IBM MQ. The Confluent Cloud product page does not mention IBM.

Confluent Cloud runs on Kora, which Confluent calls its cloud-native Kafka engine. Clusters scale automatically, and the vendor claims this halves infrastructure spend and lowers total cost of ownership by up to 60% compared with self-managed Kafka. These are vendor figures without a stated method. The service runs on AWS, Microsoft Azure and Google Cloud across more than 100 regions, with a 99.99% uptime SLA for multi-zone clusters.

The pricing page lists four serverless cluster types. Basic starts at $0 and supports up to 5 TB of storage. Standard and Enterprise add higher partition limits and an SLA of up to 99.99%. Freight trades latency of up to one or two seconds for lower per-GB networking and storage rates, and suits high-volume logging or telemetry. Dedicated clusters with pre-provisioned capacity are sold through sales.

Around the Kafka core, Confluent offers managed connectors, Confluent Cloud for Apache Flink for joins, filters and AI model inference on streams, Tableflow for turning topics into Apache Iceberg or Delta Lake tables, and Stream Governance for schemas and lineage. WarpStream, a Kafka-compatible service that runs inside the customer's own cloud account, is listed as a separate deployment option. New developers receive $400 in credits during their first 30 days, according to the product page.

Redpanda describes its product in two lines: the Redpanda Data Platform for streaming, integration and analytics, and an Agentic Data Plane that governs how AI agents access data, call tools and use models. For streaming buyers the relevant part is the Data Platform, which the vendor describes as Kafka API-compatible streaming, Redpanda Connect for integration across hundreds of sources and sinks, and Redpanda SQL for real-time analytics. Redpanda acquired Oxla to add the SQL engine.

The pricing page lists three options. Serverless is listed from $0 with a 30-day free trial and no credit card, and bills pay-as-you-go or on an annual commit. Bring Your Own Cloud runs clusters in the customer's cloud account and is sold on annual commitment. Enterprise Edition is the self-managed product with a 30-day trial. Redpanda's billing documentation also describes Dedicated clusters with uptime rates that vary by region and tier.

Serverless offers a Kafka API endpoint, a 99.9% uptime SLA, AWS PrivateLink and up to 100 MB per second of average ingress per cluster. It is generally available in seven AWS regions, including us-east-1, eu-central-1 and ap-south-1, and in beta on Google Cloud in us-central1. Usage-based pricing is driven by ingress, egress, storage and partitions, with discounted rates through sales.

The BYOC meter list includes a separate charge for ingress to Iceberg topics, which write stream data to Apache Iceberg tables. Named customers on the homepage include Activision, Akamai, Cisco, NYSE, Moody's, Texas Instruments and Vodafone. The vendor also cites a G2 Leader designation in G2's Fall 2026 reports.

Amazon Kinesis Data Streams is the AWS managed service for capturing and storing data streams. Data is available to consumer applications within seconds of being written, according to AWS, and consumers using SubscribeToShard typically receive data within 70 milliseconds.

AWS offers three capacity modes. On-demand Standard, the default, manages capacity automatically: a new stream starts at 4 MB per second and 4,000 records per second for writes and scales by default to 200 MB per second, absorbing up to double its peak write rate of the previous 30 days. On-demand Advantage removes the per-stream hourly charge and lowers per-GB rates for accounts with at least 25 MB per second of ingest and retrieval, and supports warm throughput to pre-scale for expected spikes. Provisioned mode lets teams set a shard count, with each shard providing 1 MB per second and 1,000 records per second for writes and 2 MB per second for reads.

Retention defaults to 24 hours, extends to seven days and reaches 365 days with long-term retention. Enhanced fan-out gives each registered consumer its own 2 MB per second read pipe per shard, so several applications can read the same stream without competing. On-demand streams support up to 20 enhanced fan-out consumers.

The service's value is its position inside AWS. Lambda, Amazon Managed Service for Apache Flink and AWS Glue Streaming process data from streams, and Amazon Data Firehose delivers it to S3, OpenSearch Service, Redshift and HTTP endpoints. AWS also lists newer options for streaming into Apache Iceberg tables on S3 Tables. Kinesis does not speak the Kafka protocol; AWS's FAQ directs existing Kafka users to Amazon MSK.

Azure Event Hubs is Microsoft's fully managed event streaming service. Microsoft describes it as able to ingest millions of events per second with low latency, and as a native Azure service with built-in Apache Kafka compatibility, so existing Kafka workloads can run without code changes or cluster management. The same service accepts AMQP 1.0 and HTTPS, and client libraries cover .NET, Java, Python, JavaScript and Go.

Data is organised into namespaces, event hubs (the equivalent of Kafka topics) and partitions, with consumer groups giving each application its own read position. Retention runs from one day on Basic to seven days on Standard and 90 days on Premium and Dedicated. Capture writes the stream to Azure Blob Storage or Data Lake Storage for long-term storage or batch analytics, and Azure Schema Registry manages Avro and JSON schemas for Kafka applications.

Four tiers set the cost model. Basic and Standard bill per throughput unit, each providing 1 MB per second of ingress and 2 MB per second of egress, plus a charge per million ingress events; auto-inflate can add throughput units as load grows. Premium bills per processing unit with ingress and Capture included and 1 TB of storage per unit. Dedicated provides single-tenant capacity units with 10 TB of storage each and supports events up to 20 MB in preview.

Event Hubs connects to Azure Stream Analytics, including a no-code editor, and to Azure Data Explorer, Azure Functions, Apache Spark and Apache Flink. Security options include Microsoft Entra ID, Private Link and customer-managed keys. Premium and Dedicated add zone redundancy and geo-replication. A local emulator supports development without a cloud connection.

Google Cloud Pub/Sub is an asynchronous, scalable messaging service that decouples services producing messages from services processing them. Google states typical latencies on the order of 100 milliseconds. Unlike the partition-based systems on this page, Pub/Sub leases individual messages to subscriber clients and tracks whether each one is processed, so parallelism is not limited by a partition count. Google describes it as combining the horizontal scale of Kafka and Pulsar with middleware features such as dead-letter queues and filtering.

Subscribers can pull messages or receive them by push as HTTP POST requests to webhooks. Export subscriptions write directly to BigQuery or Cloud Storage without a separate pipeline, and are billed at $50 per TiB, with no additional BigQuery ingestion charge. Import topics bring data in from Amazon Kinesis Data Streams, Cloud Storage, Azure Event Hubs, Amazon MSK or Confluent Cloud, which suits teams consolidating streams from other clouds onto Google Cloud.

Single message transforms can reshape or enrich messages in flight, including an AI inference transform that adds a model response to each message; Gemini model charges apply on top. Dataflow, Apache Spark, Cloud Functions, Workflows and Managed Airflow are listed as processing and orchestration options.

Pricing is usage-based on bytes published, delivered and stored, at the same rates in every Google Cloud region. The pricing page's own example shows a 10 MiB per second, one-subscription workload at about $2,000 per month on Pub/Sub. Pub/Sub Lite, which billed on reserved capacity at lower cost, closed to new customers in September 2024 and was turned down on 18 March 2026. Google directs its users to Pub/Sub or Google Cloud Managed Service for Apache Kafka.

Aiven is a managed open-source data platform, and Aiven for Apache Kafka is its hosted Kafka service. The vendor handles provisioning, patching, high availability, backups and security, and states that it employs Apache Kafka open-source committers who contribute to the project. The product page lists Kafka 4.3 as the current version.

The service runs on Amazon Web Services, Google Cloud, Microsoft Azure, DigitalOcean, OVH and UpCloud. Bring Your Own Cloud is available for larger setups, running Aiven services in the customer's own cloud account. Production clusters carry a 99.99% uptime SLA, with multi-node clusters across availability zones and automatic node recovery.

Kafka Connect is offered as a managed service with more than 50 connectors, including a managed Debezium connector for change data capture from PostgreSQL and MySQL. A schema registry is built on Karapace, Aiven's open-source project. Other listed features include consumer lag insights, follower fetching so consumers can read from replica brokers, and topic governance with ownership, approval workflows and a topic catalog.

Storage and compute scale independently through tiered storage. Diskless topics, based on the Kafka improvement proposal KIP-1150, use a leaderless design that writes to object storage such as Amazon S3, which the vendor says cuts cross-zone network fees and local disk cost. Diskless and low-latency topics can run in the same cluster. Aiven cites up to 80% lower total cost of ownership, and customer figures such as a 30-40% Kafka spend reduction at Sophos and 72% lower TCO at Claroty. These are vendor-reported results without a stated method.

StreamNative sells StreamNative Cloud, a managed platform for Pulsar and Kafka-protocol streaming. The vendor was named in The Forrester Wave: Streaming Data Platforms, Q4 2025, according to its homepage.

The core of the current product is Ursa, which StreamNative calls a lakehouse-native engine. Ursa is the storage layer behind what the vendor calls Lakestream: streams are kept on object storage next to Apache Iceberg and Delta Lake tables, so the same data serves real-time consumers and analytical queries without a separate stream-to-table pipeline. Kafka and Pulsar both run on this storage. StreamNative states that Kafka APIs stay in place, so applications move to Ursa without rewrites.

Pulsar remains a standalone offering, used for messaging with multi-tenancy, geo-replication and low-latency queue delivery. Pulsar clusters on StreamNative Cloud support both Pulsar and Kafka-compatible protocols. A cost-optimised cluster profile supports the Kafka protocol only, and dedicated Kafka clusters are marked as coming soon on the pricing page.

Deployment options are Serverless on shared infrastructure, Dedicated clusters on AWS, Google Cloud or Azure in single or multi-zone setups, BYOC clusters in the customer's cloud account with elastic autoscaling, and StreamNative Private Cloud for self-managed use. Named customers include Iterable, Blueshift and Q6 Cyber. The vendor cites a 50% cloud cost reduction at Safari AI, and describes Ursa as reducing total cost of ownership without a published percentage. A free trial is available.