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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.
What is Altada?
The Altada AI Platform equips clients to leverage their data infrastructure for outstanding outcomes in both automation and strategic decision-making. By providing a thorough overview of the data supply chain, we streamline processes such as data ingestion, indexing, remediation, and inference, enabling organizations to expand their operations, boost profitability, and realize significant advantages. Our platform adeptly transfers data from client data lakes into secure storage via an efficient and scalable pipeline. Utilizing sophisticated image classification and natural language processing methodologies, we can swiftly classify, categorize, and verify scanned documents within seconds. Users can take advantage of a customizable dashboard and query interface that allows them to search data and present findings in a user-friendly format, complete with functionalities to bookmark, filter, or rearrange the information according to their preferences. This integration of features guarantees that businesses can maximize their data assets for strategic growth, ultimately positioning them for long-term success and innovation in their respective industries. Furthermore, the platform's adaptability to various sectors enhances its usability and effectiveness, making it an invaluable tool for any organization looking to thrive in a data-driven world.
Integrations Supported
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
MySQL
OpenMetadata
PostgreSQL
SelectDB
TapData
API Availability
API Availability
Pricing Information
Free
Open source
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
Linux
Supported Platforms
SaaS
Customer Service / Support
Not specified
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Online Training
Company Facts
Organization Name
The Apache Software Foundation
Date Founded
1999
Company Location
United States
Company Website
doris.apache.org
Company Facts
Organization Name
Altada Technology Solutions
Date Founded
2017
Company Location
Ireland
Company Website
www.altada.com/meet-aidexter/
Categories and Features
Data Warehouse
Not specified
OLAP Databases
Not specified
Real-Time Analytic Databases
Not specified
Real-Time Data Streaming
Not specified
Categories and Features
Data Management
Not specified