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Ratings and Reviews 0 Ratings
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What is Scalytics Connect?
Scalytics Connect integrates data mesh concepts and in-situ data processing alongside polystore technology, which enhances data scalability, accelerates processing speed, and amplifies analytics potential while maintaining robust privacy and security measures. This approach allows organizations to fully leverage their data without the inefficiencies of copying or moving it, fostering innovation through advanced data analytics, generative AI, and developments in federated learning (FL). With Scalytics Connect, any organization can seamlessly implement data analytics and train machine learning (ML) or generative AI (LLM) models directly within their existing data setup. This capability not only streamlines operations but also empowers businesses to make data-driven decisions more effectively.
What is Google Cloud Lakehouse?
Google Cloud Lakehouse is an advanced data platform that unifies data warehouses and data lakes into a single, integrated storage and analytics solution. It enables organizations to work with open data formats such as Apache Iceberg, Parquet, and ORC, ensuring flexibility and interoperability across systems. By allowing access to a single copy of data, it eliminates the need for duplication and complex data pipelines. The platform includes a centralized runtime catalog for managing metadata, resources, and access controls efficiently. It provides fine-grained security through IAM roles and table-level permissions, ensuring strong governance and compliance. Google Cloud Lakehouse supports scalable data processing and integrates with tools like Apache Spark for advanced analytics and machine learning workflows. It is designed to handle large volumes of data while maintaining performance and reliability. The platform includes features for replication and disaster recovery, helping ensure data availability and resilience. Comprehensive documentation, guides, and training resources make it easier for teams to get started and optimize their workflows. It also simplifies the management of Iceberg tables and other data structures. The system supports modern data architectures, enabling seamless integration with other Google Cloud services. By unifying storage and analytics, it reduces operational complexity and improves efficiency. Overall, Google Cloud Lakehouse empowers organizations to manage, analyze, and scale their data more effectively in a single platform.
Integrations Supported
Apache Spark
Amazon S3
Apache Flink
Apache Iceberg
Azure Data Lake
Databricks
Google Cloud BigQuery
Google Cloud Storage
Hadoop
PostgreSQL
Integrations Supported
Apache Spark
Amazon S3
Apache Flink
Apache Iceberg
Azure Data Lake
Databricks
Google Cloud BigQuery
Google Cloud Storage
Hadoop
PostgreSQL
API Availability
Has API
API Availability
Has API
Pricing Information
$0
Free Trial Offered?
Free Version
Pricing Information
$5 per TB
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Scalytics
Date Founded
2022
Company Location
United States
Company Website
www.scalytics.io
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
docs.cloud.google.com/lakehouse/docs
Categories and Features
Categories and Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge