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DirectoryData & AnalyticsStreaming & Real-Time Analyticsdeepstream

deepstream

About deepstream

deepstream allows clients and backend-services to sync data, send events and more with a heavy focus on security. Configuration can be done server side without writing code while still connecting to caches, databases, message buses and more. It provides interactive JSON documents that can be edited and observed. Changes to documents are persisted and synced across clients and saved in cache or storage. It authenticates and permissions from the user down to each message.

Used for

  • Publishing and subscribing to topics so clients receive data when published
  • Querying online users and subscribing to login/logout events
  • Serving realtime data on demand when new topics are subscribed to

From deepstream's own website, read 2026-10-23. How we build listings.

How to evaluate Streaming & Real-Time Analytics

This is how the CIOPages Research Team evaluates this category. It is not an assessment of deepstream. 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

deepstream.io
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics

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Keep reading

Buyer Guide
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Toolkits
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