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What is UltiHash?
UltiHash is a cutting-edge object storage solution designed for high-speed performance, specifically aimed at AI, analytics, and intensive data workloads. This innovative storage system prioritizes efficiency by integrating deduplication capabilities, all while maintaining the necessary performance levels for today's heavy data applications. Operating as a Kubernetes-native storage cluster, UltiHash is ideally deployed on a team’s own infrastructure, leveraging flash-based storage to maximize speed and efficiency. Its robust S3-compatible API ensures seamless integration into existing workflows, allowing teams to easily upload data while UltiHash automatically manages redundant storage elimination. The platform supports high-throughput data access, enabling connections to a variety of tools, such as GenAI, analytics frameworks, machine learning models, and lakehouse systems, without requiring any changes to the current technology stack. Specifically designed for modern flash architecture, UltiHash excels in scenarios characterized by "write once, read many," where rapid access to extensive datasets is crucial. In addition to its powerful functionalities, the platform boasts a user-friendly interface that enhances usability, making it a compelling option for organizations eager to optimize their data storage and retrieval strategies. As a result, UltiHash not only meets the demands of current data challenges but also prepares users for the evolving landscape of data management.
What is Apache Doris?
Apache Doris is a sophisticated data warehouse specifically designed for real-time analytics, allowing for remarkably quick access to large-scale real-time datasets.
This system supports both push-based micro-batch and pull-based streaming data ingestion, processing information within seconds, while its storage engine facilitates real-time updates, appends, and pre-aggregations.
Doris excels in managing high-concurrency and high-throughput queries, leveraging its columnar storage engine, MPP architecture, cost-based query optimizer, and vectorized execution engine for optimal performance.
Additionally, it enables federated querying across various data lakes such as Hive, Iceberg, and Hudi, in addition to traditional databases like MySQL and PostgreSQL.
The platform also supports intricate data types, including Array, Map, and JSON, and includes a variant data type that allows for the automatic inference of JSON data structures.
Moreover, advanced indexing methods like NGram bloomfilter and inverted index are utilized to enhance its text search functionalities.
With a distributed architecture, Doris provides linear scalability, incorporates workload isolation, and implements tiered storage for effective resource management.
Beyond these features, it is engineered to accommodate both shared-nothing clusters and the separation of storage and compute resources, thereby offering a flexible solution for a wide range of analytical requirements.
In conclusion, Apache Doris not only meets the demands of modern data analytics but also adapts to various environments, making it an invaluable asset for businesses striving for data-driven insights.
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Hetzner
Kubernetes
MySQL
Integrations Supported
Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Hetzner
Kubernetes
MySQL
API Availability
Has API
API Availability
Has API
Pricing Information
€0.15 per month
Free Trial Offered?
Free Version
Pricing Information
Free
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
UltiHash
Date Founded
2022
Company Location
United States
Company Website
www.ultihash.io
Company Facts
Organization Name
The Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
doris.apache.org
Categories and Features
Categories and Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge