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Delta Lake

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216
+ 1
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Vertica

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+ 1
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Delta Lake vs Vertica: What are the differences?

Developers describe Delta Lake as "Reliable Data Lakes at Scale". An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads. On the other hand, Vertica is detailed as "Storage platform designed to handle large volumes of data". It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

Delta Lake and Vertica can be primarily classified as "Big Data" tools.

Some of the features offered by Delta Lake are:

  • ACID Transactions
  • Scalable Metadata Handling
  • Time Travel (data versioning)

On the other hand, Vertica provides the following key features:

  • Analyze All of Your Data. No longer move data or settle for siloed views
  • Achieve Scale and Performance
  • Fear of growing data volumes and users is a thing of the past

Delta Lake is an open source tool with 1.39K GitHub stars and 252 GitHub forks. Here's a link to Delta Lake's open source repository on GitHub.

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Pros of Delta Lake
Pros of Vertica
    Be the first to leave a pro
    • 1
      Shared nothing or shared everything architecture
    • 1
      Offers users the freedom to choose deployment mode
    • 1
      Flexible architecture suits nearly any project
    • 1
      End-to-End ML Workflow Support
    • 1
      All You Need for IoT, Clickstream or Geospatial
    • 1
      Freedom from Underlying Storage
    • 1
      Pre-Aggregation for Cubes (LAPS)
    • 1
      Automatic Data Marts (Flatten Tables)
    • 1
      Near-Real-Time Analytics in pure Column Store
    • 1
      Fully automated Database Designer tool
    • 1
      Query-Optimized Storage
    • 1
      Vertica is the only product which offers partition prun
    • 1
      Partition pruning and predicate push down on Parquet

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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 Vertica?

    It provides a best-in-class, unified analytics platform that will forever be independent from underlying infrastructure.

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    What companies use Delta Lake?
    What companies use Vertica?
    See which teams inside your own company are using Delta Lake or Vertica.
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    What tools integrate with Delta Lake?
    What tools integrate with Vertica?

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    What are some alternatives to Delta Lake and Vertica?
    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.
    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.
    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.
    See all alternatives