Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
PipelineDB serves as an extension to PostgreSQL, facilitating efficient aggregation of time-series data, tailored for real-time analytics and reporting applications. It empowers users to establish continuous SQL queries that consistently aggregate time-series information while storing only the resulting summaries in standard, searchable tables. This approach can be likened to highly efficient, automatically updated materialized views that require no manual refreshing. Notably, PipelineDB avoids writing raw time-series data to disk, significantly enhancing performance for aggregation tasks. The continuous queries generate their own output streams, allowing for the seamless interconnection of multiple continuous SQL processes into complex networks. This functionality ensures that users can create intricate analytics solutions that respond dynamically to incoming data.
API Access
Has API
API Access
Has API
Integrations
PostgreSQL
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Luzmo
MySQL
OpenMetadata
OpenText Analytics Database (Vertica)
Integrations
PostgreSQL
Apache Flink
Apache Hive
Apache Hudi
Apache Spark
Baidu Palo
Luzmo
MySQL
OpenMetadata
OpenText Analytics Database (Vertica)
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
PipelineDB
Country
United States
Website
github.com/pipelinedb/pipelinedb
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
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization