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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Apache Doris serves as a cutting-edge data warehouse tailored for real-time analytics, enabling exceptionally rapid analysis of data at scale. It features both push-based micro-batch and pull-based streaming data ingestion that occurs within a second, alongside a storage engine capable of real-time upserts, appends, and pre-aggregation. With its columnar storage architecture, MPP design, cost-based query optimization, and vectorized execution engine, it is optimized for handling high-concurrency and high-throughput queries efficiently. Moreover, it allows for federated querying across various data lakes, including Hive, Iceberg, and Hudi, as well as relational databases such as MySQL and PostgreSQL. Doris supports complex data types like Array, Map, and JSON, and includes a Variant data type that facilitates automatic inference for JSON structures, along with advanced text search capabilities through NGram bloomfilters and inverted indexes. Its distributed architecture ensures linear scalability and incorporates workload isolation and tiered storage to enhance resource management. Additionally, it accommodates both shared-nothing clusters and the separation of storage from compute resources, providing flexibility in deployment and management.

Description

UltiHash is a high-speed object storage solution tailored for AI, analytics, and demanding data workloads. Its design focuses on enhancing storage efficiency by incorporating built-in deduplication, all while ensuring the performance required by contemporary, data-heavy applications. UltiHash operates as a Kubernetes-native storage cluster on a team's infrastructure, ideally utilizing flash-based storage, and integrates seamlessly with existing workflows via its robust S3-compatible API. Teams can effortlessly upload their data, allowing UltiHash to handle redundant storage reduction automatically, while also providing high-throughput data access. This integration enables connections to a range of tools, including GenAI, analytics, machine learning, and lakehouse systems, without the need to alter their existing tech stack. The platform is specifically optimized for modern flash architecture, making it particularly effective for “write once, read many” scenarios where large datasets require frequent and rapid access. Furthermore, its user-friendly interface and powerful capabilities make it an attractive choice for organizations looking to streamline their data storage and retrieval processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Hetzner
Kubernetes
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Hetzner
Kubernetes
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
VeloDB

Pricing Details

Free
Free Trial
Free Version

Pricing Details

€0.15 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

doris.apache.org

Vendor Details

Company Name

UltiHash

Founded

2022

Country

United States

Website

www.ultihash.io

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Product Features

Alternatives

Alternatives

No Alternatives