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Learn MorePros of Delta Lake
Pros of Presto
Pros of Apache Spark
Pros of Delta Lake
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Pros of Presto
- Works directly on files in s3 (no ETL)18
- Open-source13
- Join multiple databases12
- Scalable10
- Gets ready in minutes7
- MPP6
Pros of Apache Spark
- Open-source61
- Fast and Flexible48
- One platform for every big data problem8
- Great for distributed SQL like applications8
- Easy to install and to use6
- Works well for most Datascience usecases3
- Interactive Query2
- Machine learning libratimery, Streaming in real2
- In memory Computation2
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Cons of Delta Lake
Cons of Presto
Cons of Apache Spark
Cons of Delta Lake
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Cons of Presto
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Cons of Apache Spark
- Speed4
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- No public GitHub repository available -
What is Delta Lake?
An open-source storage layer that brings ACID
transactions to Apache Spark™ and big data workloads.
What is Presto?
Distributed SQL Query Engine for Big Data
What is Apache Spark?
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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Jobs that mention Delta Lake, Presto, and Apache Spark as a desired skillset
What companies use Delta Lake?
What companies use Presto?
What companies use Apache Spark?
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What tools integrate with Delta Lake?
What tools integrate with Presto?
What tools integrate with Apache Spark?
What tools integrate with Delta Lake?
What tools integrate with Presto?
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What are some alternatives to Delta Lake, Presto, and Apache Spark?
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.