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Description
BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.
Description
The market experiences limited competition as a result of significant entry barriers, specialized expertise, substantial capital requirements, and extended time-to-market. Moreover, current platforms offer similar pricing and performance, which diminishes the motivation for users to transition. Transitioning from one SQL dialect to another can take months of intensive work. There is a demand for format-independent computing that can seamlessly work with all major open standards. Data leaders in enterprises are currently facing an extraordinary surge in the need for data intelligence. They are taken aback to discover that a mere 10% of their most demanding, compute-heavy tasks account for 80% of the costs, engineering resources, and stakeholder grievances. Regrettably, these workloads are also essential and cannot be neglected. e6data enhances the return on investment for a company's current data platforms and infrastructure. Notably, e6data’s format-agnostic computing stands out for its remarkable efficiency and performance across various leading data lakehouse table formats, thereby providing a significant advantage in optimizing enterprise operations. This innovative solution positions organizations to better manage their data-driven demands while maximizing their existing resources.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Amazon Web Services (AWS)
Apache Avro
Apache Hive
Apache Hudi
Apache Parquet
Apache Spark
Azure Data Lake
Delta
Google Cloud BigQuery
Integrations
Amazon S3
Amazon Web Services (AWS)
Apache Avro
Apache Hive
Apache Hudi
Apache Parquet
Apache Spark
Azure Data Lake
Delta
Google Cloud BigQuery
Pricing Details
$5 per TB
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
Country
United States
Website
cloud.google.com/biglake
Vendor Details
Company Name
e6data
Founded
2020
Country
United States
Website
www.e6data.com
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
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge