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Head-to-head · Stream Processing Software

Hazelcast Platform vs Materialize

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Hazelcast Platform #10 in Stream Processing Software 8.3/10 Free plan Free plan✓ 3 of 3 features Visit Hazelcast
Materialize #17 in Stream Processing Software 7.7/10 Free plan · 7-day trial Free planFree trial✓ 3 of 3 features Visit Materialize

Hazelcast Platform leads on 0 checks, Materialize on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreHazelcast Platform · 8.3/10
  • Free planboth
  • Free trialonly Materialize

Hazelcast Platform scores higher on our rubric for stream processing software: 8.3 against 7.7 out of 10; our editors rank them #10 and #17.

Hazelcast Platform is the better fit for teams needing streaming plus distributed state. Materialize is the better fit for SQL teams building real-time materialized views.

  • Hazelcast Platform fits best

    Teams needing streaming plus distributed state

  • Materialize fits best

    SQL teams building real-time materialized views

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Hazelcast Platform 8.3/10 Visit ↗ Materialize 7.7/10 Visit ↗
At a glance
Editor score 8.3 7.7
Ranking #10 in Stream Processing Software #17 in Stream Processing Software
Best for Teams needing streaming plus distributed state SQL teams building real-time materialized views
Pricing model Free plan + paid Free plan + paid
Starting price — $1.50/unit usage-based
Free plan ✓ ✓
Free trial — 7 days
Deployment Cloud, Self-hosted Cloud, Self-hosted
Platforms Windows, macOS, Linux Web
Support Tickets, Community, Docs · 24/7 Email, Live chat, Tickets, Community, Docs
Integrations 30+ integrations 16 integrations
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Hazelcast Platform 3/3 · Materialize 3/3
SQL processing ✓ ✓
Stateful processing ✓ ✓
Event-time windows ✓ ✓
Specs
Deployment model Hybrid Hybrid
Supported languages Java, SQL SQL
Source connectors Not checked yet 13
Our review
Pros
  • Stream processing with SQL windows, joins, and stateful aggregations
  • Distributed in-memory storage supports real-time application architectures
  • Broad connectors and exactly-once or at-least-once guarantees
  • Incrementally maintains SQL views and materialized views
  • Joins streams without mandatory time windows or partitioning
  • Cloud, Kubernetes, and PostgreSQL-compatible deployment options
Cons
  • Enterprise Edition pricing requires contacting Hazelcast
  • Supported programming languages are Java and SQL
  • The platform may exceed the needs of teams seeking narrow stream processing
  • Cloud pricing varies by region and compute usage
  • Self-managed editions require Kubernetes deployment
  • SQL is the supported language
Our verdict

Hazelcast Platform combines a distributed stream-processing engine with an in-memory data store for real-time applications. It is aimed at teams that need streaming and distributed state in one self-managed platform, with support for…

Read the review →

Materialize is a streaming SQL database and live data layer for engineering and data teams. It continuously maintains SQL-defined views and data products as databases, message brokers, and webhooks change. Teams can use it for real-time…

Read the review →
  1. Hazelcast PlatformStream Processing Software 8.3Free plan
  2. MaterializeStream Processing Software 7.7Free plan · 7-day trial

Strengths and trade-offs

  • Hazelcast Platform — where it wins

    • Stream processing with SQL windows, joins, and stateful aggregations
    • Distributed in-memory storage supports real-time application architectures
    • Broad connectors and exactly-once or at-least-once guarantees

    Where it doesn't

    • Enterprise Edition pricing requires contacting Hazelcast
    • Supported programming languages are Java and SQL
    • The platform may exceed the needs of teams seeking narrow stream processing

  • Materialize — where it wins

    • Incrementally maintains SQL views and materialized views
    • Joins streams without mandatory time windows or partitioning
    • Cloud, Kubernetes, and PostgreSQL-compatible deployment options

    Where it doesn't

    • Cloud pricing varies by region and compute usage
    • Self-managed editions require Kubernetes deployment
    • SQL is the supported language

All stream processing software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update