Software Alternatives, Accelerators & Startups

Delta Lake VS Lentiq

Compare Delta Lake VS Lentiq and see what are their differences

Delta Lake logo Delta Lake

Application and Data, Data Stores, and Big Data Tools

Lentiq logo Lentiq

Lentiq is a data lake management platform for enterprises and developers.
  • Delta Lake Landing page
    Landing page //
    2023-08-26
  • Lentiq Landing page
    Landing page //
    2022-10-31

Delta Lake videos

A Thorough Comparison of Delta Lake, Iceberg and Hudi

More videos:

  • Tutorial - Delta Lake for apache Spark | How does it work | How to use delta lake | Delta Lake for Spark ACID
  • Review - ACID ORC, Iceberg, and Delta Lake—An Overview of Table Formats for Large Scale Storage and Analytics

Lentiq videos

MUA AMANDA REVIEW LENTIQ MASCARA BY BONDA COSMETICS 😍😍

More videos:

  • Review - Lentiq Webinar w/ Kirk Borne - Insights Discovery at the Intersection of Multiple Data Sets
  • Review - REVIEW : BABY SHIMA CUTE SUKA GUNAKAN LENTIQ MASCARA BY BONDA COSMETICS!! JOM SAKSIKAN ..

Category Popularity

0-100% (relative to Delta Lake and Lentiq)
Development
59 59%
41% 41
Office & Productivity
53 53%
47% 47
Data Dashboard
63 63%
37% 37
Databases
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Delta Lake seems to be more popular. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Delta Lake mentions (31)

  • Delta Lake vs. Parquet: A Comparison
    Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 4 months ago
  • Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
    Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 6 months ago
  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
  • Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
    Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 11 months ago
  • The "Big Three's" Data Storage Offerings
    Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: 12 months ago
View more

Lentiq mentions (0)

We have not tracked any mentions of Lentiq yet. Tracking of Lentiq recommendations started around Apr 2022.

What are some alternatives?

When comparing Delta Lake and Lentiq, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Databricks Unified Analytics Platform - One platform for accelerating data-driven innovation across data engineering, data science & business analytics

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Azure Synapse Analytics - Get started with Azure SQL Data Warehouse for an enterprise-class SQL Server experience. Cloud data warehouses offer flexibility, scalability, and big data insights.

GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.

Saturn Cloud - ML in the cloud. Loved by Data Scientists, Control for IT. Advance your business's ML capabilities through the entire experiment tracking lifecycle. Available on multiple clouds: AWS, Azure, GCP, and OCI.