Sold by: HazelcastÂ
Deployed on AWS
Cloud native, fully managed and highly available software that enables low latency access to data via in-memory cache. Use cases include: payment processing, fraud detection, e-commerce & edge computing. Key features include WAN replication and enterprise grade security upgrades.
Overview
Hazelcast Cloud Dedicated is the cloud-native version of the Hazelcast In-Memory Computing Platform that is used today by top financial institutions, e-commerce and retail companies.
Hazelcast provides an API that enables simplified development with mission-critical reliability.
The software is instantly scalable; you can add cache for your microservices and applications instantly via the fully managed service. The service offers low latency data access in a highly available environment. Customers have the option to include advanced features such as mutual authentication with TLS, persistence, off-heap storage, and WAN synchronization between clusters without the need for code changes nor manual changes to your underlying infrastructure.
Hazelcast Cloud Dedicated is designed for enterprise-grade deployment with VPC Peering and Private Link
Learn more: https://hazelcast.com/products/hazelcast-cloud/Â
Pricing Information :
- Your bill will be determined by the size of your data.
- Data transfer costs are charged in addition to the memory usage.
- Additional taxes or fees may apply.
For custom pricing, EULA, or a private contract, please contact aws-marketplace@hazelcast.com for a private offer
Highlights
- Fully managed service with Enterprise Security Suite. Encrypt data-in-transit (TLS/SSL) and data-at-rest in the Hot Restart Store. Get a bird's-eye view of all cluster activity with Hazelcast Management Center.
- High availability. Avoid data loss and downtime by using data backup replicas across the cluster. Automatic Disaster Recovery Failover reconnects with no manual intervention to a disaster recovery cluster should the primary cluster be unreachable.
- WAN Replication. Efficiently synchronize data to other clusters, for geo-distribution and disaster recovery. Run multi-cloud in active-passive and/or active-active topologies, across zones and clouds.
Details
Sold by
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
HZ Cloud Ded-AWS-MP | Cluster of 3 HZ members (13.5GB of storage). | $7,754.00 |
Dimension | Cost/unit |
|---|---|
Additional usage as specified by contract terms | $0.01 |
Vendor refund policy
As required by law and net of any infrastructure and data transfer costs prior to refund request
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Please contact support@hazelcast.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Hazelcast
By ScyllaDB, Inc
Top
50
In High Performance Computing
Top
10
In Feature Engineering, Streaming solutions
Top
10
In Data Warehouses
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
In-Memory Caching
Cloud-native platform providing low-latency data access through in-memory computing architecture
Data Synchronization
WAN replication capability enabling efficient data synchronization across multiple clusters and geo-distributed environments
High Availability Architecture
Automatic disaster recovery failover with data backup replicas across clusters to prevent data loss and downtime
Enterprise Security
Data encryption for both data-in-transit using TLS/SSL and data-at-rest with Hot Restart Store
Scalability Mechanism
Instantly scalable infrastructure supporting microservices and applications with seamless cache integration
Database Architecture
Distributed NoSQL database with close-to-the-metal architecture handling millions of operations per second
API Compatibility
100% API compatibility with Apache Cassandra CQL and DynamoDB
Data Processing
Native Kafka and Spark plug-ins for real-time streaming data processing
Cloud Integration
Supports REST-API, Terraform, VPC peering, and gateway connectivity for cloud application integration
Performance Optimization
Automated load balancing, in-memory caching, and high compute and storage utilization across AWS vCPU instances
Multi-Cloud Data Infrastructure
Supports multiple open source data technologies including PostgreSQL, Apache Kafka, ClickHouse, and OpenSearch across different cloud environments
Security Compliance
Meets ISO 27001, SOC 2, PCI-DSS, GDPR, and HIPAA compliance standards with data encryption in transit and at rest
Infrastructure Management
Provides highly available self-healing platform with near-zero downtime during scaling and upgrading, supporting infrastructure-as-code tools like Terraform
Cloud Service Integration
Deep integration with AWS services including Amazon S3, Amazon CloudWatch, VPC Peering, AWS Transit Gateway, and AWS PrivateLink
Deployment Flexibility
Supports deployment options including Bring Your Own Cloud (BYOC), dedicated VMs, and cross-cloud disaster recovery configurations
Standard contract
No
No
No
Customer reviews
0 ratings
0 AWS reviews
|
13 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Marketing and Advertising
Memory saver
Reviewed on Apr 18, 2023
Review provided by G2
What do you like best about the product?
I love the small memory of the library I embedded (since I have many issues with the memory of my pc).
It is also very fast and not complex at all and it saved my all my problems in the distributed systems for sure!
It is also very fast and not complex at all and it saved my all my problems in the distributed systems for sure!
What do you dislike about the product?
Nothing to share about this...I would say as a con that it takes a bit more time in order ro coordinate yourself where and what is located
What problems is the product solving and how is that benefiting you?
Solved my problems with my relational databases where I was struggling with the whole backend team in managing correctly our db
Ivan Z.
Hazelcast is the one of the best tools for every day`s life
Reviewed on Dec 21, 2021
Review provided by G2
What do you like best about the product?
Hazelcast first of all is a really great distributed data grid. You can use distributed collections out of the box like Map, Set, Queue for microservices replicas to share data or for caching purposes. Also, it is possible to take distributed locks to prevent doing the same work simultaneously. The Streaming framework Hazelcast Jet has many needful features and is very fast. Can be run separately from services or as a library. Supports automatic rebalancing and replication. Multiple network options to make a cluster such as multicasting or kubernetes support.
What do you dislike about the product?
It`s a little bit tricky to set up cluster in Kubernetes but it`s a matter of reading the documentation carefully. You should write serializers for objects yourself but it`s your payment for the size of the memory footprint of your cache. Poor search options in in-memory data structures.
What problems is the product solving and how is that benefiting you?
Distributed cache, distributed locking for microservices architecture. Stream processing of the big data.
Recommendations to others considering the product:
Great tool for distributed caches and for the stream processing
Computer Software
Clustered in memory cache for your highly scalable application
Reviewed on Jan 28, 2021
Review provided by G2
What do you like best about the product?
We enjoyed using hazel cast cluster for one of the highly scalable SaaS applications serving 2 million transactions every minute
Hazel cast was very stable and we loved it
Hazel cast was very stable and we loved it
What do you dislike about the product?
We used Hazel cast back in 2013-2015 and those days I felt there were multiple opportunities to improve further. Some of those improvements which we had suggested didn't get implemented even after a a couple of years.
What problems is the product solving and how is that benefiting you?
We used it for reducing DB hits for our highly scalable SaaS application
Recommendations to others considering the product:
It used to be one of the well-known java based alternative for Memcached.
Give it a try:)
Give it a try:)
Mateusz K.
Simple and Powerful Stream Processing Engine
Reviewed on Jan 26, 2021
Review provided by G2
What do you like best about the product?
Performance and how it is easy to start implementation. In-memory processing is great adventage, because of high availability.
What do you dislike about the product?
Documentation is not as good as for Hazelcast IMDG and sometimes I do not know where I can find some information I am looking for.
What problems is the product solving and how is that benefiting you?
We needed Stream processing platform which allow to connect to Kafka and generate some output based on Python scripts provided by business analitycs. Jet allowed us to get messages from Kafka, translate them, enrich with data from software based on another Hazelcast IMDG, execute Python scripts and generate expected output.
Computer Software
Efficient in-memory database, best when used next to a relation database
Reviewed on Jan 08, 2021
Review provided by G2
What do you like best about the product?
I like Hazelcast being configurable to auto back-up features of it. When one of your hazelcast instance is down, remaining instances in the cluster recovers those data from backup and continue working where it left.
What do you dislike about the product?
I can't think of anything I don't like about Hazelcast IMDG, maybe the pricing would be the worst side of it.
What problems is the product solving and how is that benefiting you?
Hazelcast is solving our caching problem and fastens the data access time. It also makes it possible to spend less time on managing instances of cache. The instances can discover each other and communicate as default.
Recommendations to others considering the product:
I used Hazelcast embedded to the services. However, stand-alone usage of Hazelcast might provide a better/more sustainable cluster.