
Amazon SageMaker
Google BigQuery
Apache Zeppelin
Databricks Unified Analytics Platform
GeoSpock
Azure Synapse Analytics
Saturn Cloud
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Which is more popular?
Based on our record, Delta Lake seems to be more popular. It has been mentioned 36 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | delta.io | opalstack.com |
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Recommendations tracked on public social media and blogs since March 2021.


A common solution is using open table formats like Apache Iceberg(others are Delta lake and Apache Hudi). With these tools you get the benefits of traditional database functionality on your data lake i.e ACID guarantees, transactions.... - Source: dev.to / 11 months ago
Delta Lake: Delta Lake is an open-source storage layer that provides ACID transactions, scalable metadata management, and data versioning on top of existing data lakes. It aims to bring reliability and performance optimizations to big... - Source: dev.to / over 1 year ago
When it comes to stream processing systems, Iceberg support varies across vendors. Databricks, which oversees Spark Streaming, focuses on Delta Lake. Apache Flink, heavily influenced by Alibaba’s contributions, promotes Paimon, an... - Source: dev.to / over 1 year ago
Tracking Opalstack since Sep 2023.
When comparing Delta Lake and Opalstack, you can also consider the following products.

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
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A fully managed data warehouse for large-scale data analytics.
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A web-based notebook that enables interactive data analytics.
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One platform for accelerating data-driven innovation across data engineering, data science & business analytics
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GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.
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Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.
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