What Hazelcast does

Hazelcast is a private US-based enterprise infrastructure software company founded in 2012 and headquartered in Palo Alto that provides a unified real-time data platform combining a distributed in-memory data store with a stream processing engine in a single runtime. Its core product, Hazelcast Platform, is differentiated by a multi-threaded Thread Per Core architecture, a High-Density Memory Store that avoids Java garbage collection overhead, and a CP Subsystem implementing the Raft Consensus Algorithm for tunable strong consistency. The platform serves tier-1 financial institutions (BNY Mellon, JP Morgan, HSBC, Deutsche Bank, BNP Paribas, Swedbank), major retailers (Target, Amazon, Domino's, Sleep Number), payments providers (Shift4), and logistics operators (PSA Antwerp, SNCF), with management claiming more than 50% of the world's largest banks and over 10 billion daily transactions run on Hazelcast.

The company monetizes through annual Enterprise subscriptions (self-managed software with full feature suite, 24/7 support, 1-hour SLA, hot-fix patches, and quarterly roadmap reviews), a usage-based Hazelcast Cloud managed service available on AWS, Azure, GCP, and Red Hat marketplaces, and a free open-source Community Edition that funnels developers into enterprise upgrades. Distribution is hybrid: enterprise field sales for large deployments, cloud marketplace listings for procurement against existing cloud commitments, and self-service community downloads for developer adoption. Go-to-market is vertical-led, with Financial Services as the primary segment, followed by Retail/E-Commerce and Supply Chain/Logistics, and Healthcare as a secondary vertical.

Hazelcast has raised approximately $63.6M across four disclosed funding rounds between 2012 and 2020, with investors including Bain Capital Ventures, C5 Capital, EBRD Venture Capital, Capital One Ventures, and Earlybird. Recent strategic activity centers on product expansion (Vector Search Beta via JVector 2.0 integration in May 2026), multi-cloud marketplace deepening, and analyst validation as a Strong Performer in The Forrester Wave: Streaming Data Platforms (Q4 2025).

Name

Hazelcast

Legal name

Hazelcast, Inc.

Website

https://hazelcast.com

Company type

Private

Founded year

2012

Operating status

Operating

Headcount range

101–250 employees

Ownership category

akta.pro rank

Product category

Real-Time In-Memory Data Platform

NAICS

Software Publishers (5132), Computer Facilities Management Services (541513), Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

NewSQL / Distributed SQL Databases (HDAEAAAC)

akta.pro secondary industries

Cloud Operations Outsourcing (Cloud Managed Operations) (BPAEAMAC), Cloud Managed Services (M365/Azure/AWS/GCP) (BPAEABAE), Cloud Managed Services (Operations, Monitoring, Patching) (BPAEACAF)

Keywords

• In-memory data grid
• Real-time stream processing
• Distributed computing platform
• Cloud-native deployment
• Event-driven microservices

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Hazelcast Platform Enterprise Subscription: Annual subscription-based licensing for self-managed Hazelcast Platform software. Includes full feature suite, RAS features, enhanced security, scalability, and professional support. Subscribers receive CVE patches, hot fixes, and access to quarterly roadmap reviews.
2. Hazelcast Cloud Managed Service: Fully managed cloud service offering available via pay-as-you-go model or pre-paid credits. Provides cloud-agnostic deployment option with no infrastructure management required.
3. Community Edition: Free open-source version providing core functionality (fast data store and stream processing engine) to drive adoption and community growth. Serves as funnel for enterprise conversions.

Pricing tiers

Go-to-market motion3 records

Distribution channels6 records

Marketing channels5 records

Core offering

Hazelcast sells a unified real-time data platform that combines a distributed in-memory compute engine with a fast data store in a single runtime. The platform provides sub-millisecond data access, stream processing, distributed computing, and tunable CP/AP consistency, deployed as self-managed software (Hazelcast Platform), as a managed cloud service (Hazelcast Cloud), or via Kubernetes Operator. Customers buy Hazelcast Platform Enterprise Edition subscriptions, Hazelcast Cloud usage, and Hazelcast Support services, with a free Community Edition available for adoption.

Product overview

Hazelcast offers a unified real-time data platform combining a distributed compute engine and fast data store in one runtime. The core product is Hazelcast Platform (available as self-managed Enterprise or Community Edition), supplemented by Hazelcast Cloud (managed service on AWS/Azure/GCP marketplaces), and Hazelcast Management Center for cluster monitoring. The platform offers advanced modules including Security Suite, High-Density Memory Store, CP Subsystem, Vector Search (Beta), Jet Job Placement Control, Thread Per Core Architecture, WAN Replication, Rolling Upgrades, and Blue-Green Deployment Support. The Connector Hub provides pre-built connectors including full Kafka Connect ecosystem support. Hazelcast Platform Enterprise Edition is subscription-based with full features; Community Edition is free and open-source with core functionality. Professional support includes 24/7 support with 1hr SLA and Technical Account Management services.

Differentiator

Problem solved

Functional benefit

Products and services

• Hazelcast Platform Self-managed, downloadable enterprise platform combining a distributed cache with in-memory compute and stream processing for real-time and AI-driven applications. Supports sub-millisecond data access, geo/WAN replication, CP/AP data consistency, distributed computing, stream processing, and cloud-native Kubernetes deployment for enterprises building real-time applications.
• Hazelcast Management Center Centralized web-based monitoring and management interface for all Hazelcast clusters. Provides cluster health views, member status, resource utilization, JMX/REST APIs, automatic configuration health checks, SQL Browser, and Role Based Access Control (RBAC). For platform operators and SREs running Hazelcast clusters.
• Hazelcast Cloud Fully managed cloud service offering of the Hazelcast platform, available on AWS, Azure, GCP, and Red Hat marketplaces. Customers consume it on a pay-as-you-go basis or through pre-paid credits, with no infrastructure management required.
• Hazelcast Platform Enterprise Edition Subscription-based version of Hazelcast Platform including the full suite of features for mission-critical, production workloads. Includes security features, resiliency features, 24x7 support with 1-hour SLA, hot fix patches, production profile simulation, CVE patches, and quarterly roadmap reviews.
• Hazelcast Platform Community Edition Free, open-source version of Hazelcast Platform featuring core functionality including the fast data store and stream processing engine. Does not include Enterprise features such as security and resiliency. Acts as a funnel for enterprise conversions.
• Hazelcast Support 24/7 support for Hazelcast Platform Enterprise Edition subscribers with a 1-hour SLA, quarterly review of feature requests and roadmap, 30 email/IM/phone support contacts, access to hot fix patches, production profile simulation, and Black Duck Clean IP Report.
• Hazelcast Technical Account Management (TAM) Subscription-based service providing a dedicated customer advocate to ensure effective leverage of Hazelcast technology offerings and maximize ROI for enterprise customers.
• Hazelcast Connector Hub Out-of-the-box connectivity offering with pre-built connectors to existing data platforms, including support for all connectors in the Kafka Connect ecosystem, Apache Pulsar, Amazon Kinesis, and RabbitMQ, plus a Prometheus exporter for cluster metrics.

Quantifiable outcome

• 33% reduction in operational costs
• +5 more outcomes

Named customers18 records

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration6 records

AI capability6 records

Feature8 records

Partnerships

Six partnerships are on record, tiered core.

• AWS (Amazon Web Services)coreTechnology or IntegrationAWS Marketplace listing for Hazelcast Platform Enterprise. Deep integration including AWS auto-scaling capabilities, documented deployment guides, and customers running Hazelcast on AWS for fraud detection and payment processing workloads.
• Microsoft AzurecoreTechnology or IntegrationAzure Marketplace listing with Hazelcast Enterprise Azure solution. Azure quickstart templates available for deploying Hazelcast clusters in Azure environments.
• Google Cloud PlatformcoreTechnology or IntegrationGoogle Cloud Marketplace listing for Hazelcast Cloud Enterprise on GCP. Deployment guides and integration documentation for GCP environments.
• Red HatcoreTechnology or IntegrationRed Hat Marketplace listing and certification for OpenShift Container Platform. Enterprise Operator support for Kubernetes deployments on Red Hat OpenShift.
• Apache KafkacoreTechnology or IntegrationDeep integration between Hazelcast and Apache Kafka. Hazelcast retrieves live data from Kafka for stream processing. Kafka Connect ecosystem connectors available. Joint white paper on accelerating Kafka application response time.
• JVectorcoreTechnology or IntegrationHazelcast Platform harnesses JVector 2.0, a leading embedded search engine, for vector search capabilities enabling high-performance processing and searching across structured and unstructured data.

Scale indicators7 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Couchbase: Couchbase is a distributed NoSQL cloud database that competes with Hazelcast for enterprise real-time data tier and caching workloads. Its broader document- and mobile-focused portfolio positions it as an incumbent across multiple use cases where Hazelcast competes.
• Confluent: Confluent, the commercial steward of Apache Kafka, is a broader incumbent in the real-time data streaming category. It overlaps with Hazelcast's stream processing engine and is explicitly named by Hazelcast as a complementary 'better together' partner, but its cloud-native Kafka offering increasingly competes for the same workload.
• Databricks: Databricks is a broad data platform that combines data warehousing, lakehouse, and AI/ML capabilities. While not a direct in-memory grid competitor, it increasingly absorbs real-time streaming and AI inference workloads where Hazelcast plays, making it a relevant incumbent in the same enterprise accounts.

Others

• Materialise: Materialise is a 3D printing services and software company that is not a direct competitor. It is included as an ecosystem/OTHERS entry where the relevance is limited; a stronger placeholder would be Kafka-native stream-processing vendors such as Decodable or Lenses.io that integrate adjacent to Hazelcast rather than compete head-on.

Direct peers

• SingleStore: SingleStore is a distributed SQL database that combines transactional and analytical processing, competing with Hazelcast's distributed SQL and real-time data tier capabilities for the same enterprise real-time analytics and transactional workloads.
• Redis: Redis is the leading in-memory data store and the most direct competitor to Hazelcast — both compete on distributed caching, real-time data access, and stream-processing-adjacent workloads. Hazelcast explicitly benchmarks against Redis (1.19M vs 660K ops/sec at 128 threads), making this the canonical head-to-head comparison.
• GridGain Systems: GridGain offers an in-memory data fabric and distributed compute platform with comparable distributed caching, stream processing, and SQL capabilities to Hazelcast. Both target large enterprises needing real-time processing of high-volume transactional data.
• Apache Ignite: Apache Ignite is an open-source distributed in-memory computing platform that overlaps heavily with Hazelcast's distributed data grid, compute, and SQL functionality. It represents the open-source alternative path that customers evaluating Hazelcast frequently consider.
• Aerospike: Aerospike is a real-time NoSQL database optimized for high-throughput, low-latency workloads — directly comparable to Hazelcast's positioning in payments, fraud detection, and ad-tech. Both serve enterprises where sub-millisecond latency at scale is non-negotiable.

Emerging players

• StarTree: StarTree offers a real-time analytics platform built on Apache Pinot for user-facing analytics at low latency. It overlaps with Hazelcast's real-time serving and stream processing use cases, particularly for personalization and operational dashboards.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/hazelcast
• Facebookfacebook.com/hazelcast
• LinkedInlinkedin.com/company/hazelcast

Revenue estimate

Valuation estimate

Number of profiles

Profiles13 records

Funding overview

Funding rounds5 records

Investors9 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Hazelcast