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ease 0 out of 5 stars
features 0 out of 5 stars
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support 0 out of 5 stars

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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Amazon DocumentDB, which is compatible with MongoDB, offers a rapid, scalable, highly reliable, and fully managed solution for document database needs, specifically catering to MongoDB workloads. This service simplifies the storage, querying, and indexing of JSON data, making it an ideal choice for developers. Built from the ground up as a non-relational database, Amazon DocumentDB ensures the performance, scalability, and availability crucial for handling mission-critical MongoDB workloads on a large scale. One of its key features is the separation of storage and compute, which allows each component to scale independently. Users can enhance read capacity to millions of requests per second in a matter of minutes by adding up to 15 low-latency read replicas, irrespective of data volume. Additionally, Amazon DocumentDB is engineered for 99.99% availability, maintaining six copies of data across three different AWS Availability Zones (AZs) to ensure redundancy and reliability. This architecture not only enhances data safety but also significantly improves the overall performance of applications that rely on it.

Description

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

APISCRAPY Yes 
AWS App Mesh Yes 
Amazon EKS No 
Amazon OpenSearch Service Yes 
Amazon Web Services (AWS) No 
Argonaut Yes 
Artie Yes 
ClickHouse No 
DocumentDB for VS Code Yes 
Google Cloud Platform No 
Hackolade Yes 
Ikigai Yes 
Kubernetes No 
Looker No 
Microsoft Azure No 
MongoDB Yes 
New Relic Yes 
PostgreSQL No 
Superset No 
Tonic Ephemeral Yes 

Integrations

APISCRAPY No 
AWS App Mesh No 
Amazon EKS Yes 
Amazon OpenSearch Service No 
Amazon Web Services (AWS) Yes 
Argonaut No 
Artie No 
ClickHouse Yes 
DocumentDB for VS Code No 
Google Cloud Platform Yes 
Hackolade No 
Ikigai No 
Kubernetes Yes 
Looker Yes 
Microsoft Azure Yes 
MongoDB No 
New Relic No 
PostgreSQL Yes 
Superset Yes 
Tonic Ephemeral No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$2,237 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com

Vendor Details

Company Name

Hydrolix

Country

Canada

Website

www.hydrolix.io

Product Features

Database

Backup and Recovery Yes 
Creation / Development No 
Data Migration Yes 
Data Replication Yes 
Data Search No 
Data Security No 
Database Conversion Yes 
Mobile Access No 
Monitoring No 
NOSQL Yes 
Performance Analysis Yes 
Queries No 
Relational Interface No 
Virtualization Yes 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

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