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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
PawSQL embodies the leading practices of query optimization within the database sector, offering sophisticated SQL rewrite enhancements and advanced index suggestions aimed at addressing sluggish queries. Leveraging the expertise of its professional optimization engine, which boasts a user base of over 10,000 database professionals globally, PawSQL delivers an extensive array of SQL optimization advice along with smart index recommendations. Additionally, it features a well-rounded audit rule framework designed for various database systems, including MySQL, PostgreSQL, openGauss, and Oracle, ensuring that enterprises enjoy a uniform auditing experience across their diverse database landscapes. The rule-oriented SQL evaluation focuses on identifying potential correctness flaws and opportunities for performance enhancement. By providing rich rewrite optimization, it suggests semantically equivalent yet more efficient SQL queries, while the cost-based validation confirms that the proposed solutions from SQL rewrites and index recommendations yield superior performance outcomes. Furthermore, PawSQL’s intelligent index recommendation feature enables users to optimize their query performance effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Apache Flink
Yes
Apache Hive
Yes
Apache Hudi
Yes
Apache Spark
Yes
Baidu Palo
Yes
DataGrip
No
MariaDB
No
OpenMetadata
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
Apache Flink
No
Apache Hive
No
Apache Hudi
No
Apache Spark
No
Baidu Palo
No
DataGrip
Yes
MariaDB
Yes
OpenMetadata
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
doris.apache.org
Vendor Details
Company Name
PawSQL
Founded
2024
Country
China
Website
www.pawsql.com
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No
Product Features
Database Monitoring
Anomaly Detection
No
Autodiscovery
No
Capacity Planning
No
Dashboard
No
Dependency Tracking
No
Historical Trend Analysis
No
Multitenancy
No
Notifications / Alerts
No
Performance Monitoring
No
Permissions / Access Controls
No
Predictive Analytics
No
Prioritization
No
Query Analysis
No
Resource Optimization
No
Troubleshooting
No