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Average Ratings 0 Ratings
Description
LakeSail is an integrated, cloud-based data and AI platform aimed at revolutionizing the way organizations handle, analyze, and utilize vast amounts of data by merging all tasks into one efficient system. Central to this platform is Sail, a Rust-based distributed computation engine that acts as a straightforward substitute for Apache Spark, allowing teams to execute their existing SQL and Python workloads without needing to modify their code, all while reducing JVM overhead and enhancing overall performance. This platform consolidates batch processing, stream processing, ad-hoc queries, and AI tasks into a singular runtime, which enables data pipelines and intelligent systems to function smoothly on the same infrastructure. Additionally, it features a multimodal lakehouse architecture adept at managing both structured and unstructured data, such as PDFs, images, and videos, within a unified environment, thereby catering to contemporary AI-focused applications. By streamlining these processes, LakeSail empowers organizations to leverage their data more effectively and drive innovation in their operations.
Description
VeloDB, which utilizes Apache Doris, represents a cutting-edge data warehouse designed for rapid analytics on large-scale real-time data.
It features both push-based micro-batch and pull-based streaming data ingestion that occurs in mere seconds, alongside a storage engine capable of real-time upserts, appends, and pre-aggregations. The platform delivers exceptional performance for real-time data serving and allows for dynamic interactive ad-hoc queries.
VeloDB accommodates not only structured data but also semi-structured formats, supporting both real-time analytics and batch processing capabilities. Moreover, it functions as a federated query engine, enabling seamless access to external data lakes and databases in addition to internal data.
The system is designed for distribution, ensuring linear scalability. Users can deploy it on-premises or as a cloud service, allowing for adaptable resource allocation based on workload demands, whether through separation or integration of storage and compute resources.
Leveraging the strengths of open-source Apache Doris, VeloDB supports the MySQL protocol and various functions, allowing for straightforward integration with a wide range of data tools, ensuring flexibility and compatibility across different environments.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Spark
Yes
Amazon Web Services (AWS)
Yes
Apache Doris
No
Apache Flink
No
Apache Kafka
No
MySQL
No
Python
Yes
Rust
Yes
SQL
Yes
dbt
No
Integrations
Apache Spark
Yes
Amazon Web Services (AWS)
No
Apache Doris
Yes
Apache Flink
Yes
Apache Kafka
Yes
MySQL
Yes
Python
No
Rust
No
SQL
No
dbt
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
LakeSail
Founded
2023
Country
United States
Website
lakesail.com
Vendor Details
Company Name
VeloDB
Founded
2023
Country
Singapore
Website
www.velodb.io
Product Features
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