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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. Delta Lake vs Mondrian

Delta Lake vs Mondrian

OverviewComparisonAlternatives

Overview

Mondrian
Mondrian
Stacks19
Followers26
Votes0
GitHub Stars1.2K
Forks735
Delta Lake
Delta Lake
Stacks105
Followers315
Votes0
GitHub Stars8.4K
Forks1.9K

Delta Lake vs Mondrian: What are the differences?

Delta Lake: Reliable Data Lakes at Scale. An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads; Mondrian: Open source platform for big data deployments. It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time.

Delta Lake and Mondrian belong to "Big Data Tools" category of the tech stack.

Some of the features offered by Delta Lake are:

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

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

  • Analyze all your data in real-time
  • System responds to queries fast enough to allow an interactive exploration of the data
  • Brings multidimensional analysis to the masses

Delta Lake and Mondrian are both open source tools. It seems that Delta Lake with 1.37K GitHub stars and 243 forks on GitHub has more adoption than Mondrian with 792 GitHub stars and 610 GitHub forks.

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Detailed Comparison

Mondrian
Mondrian
Delta Lake
Delta Lake

It is a Hitachi Group Company, data integration and business analytics company with an enterprise, Online Analytical Processing server (OLAP). Allows business users to analyze large and complex amounts of data in real-time.

An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.

Analyze all your data in real-time; System responds to queries fast enough to allow an interactive exploration of the data; Brings multidimensional analysis to the masses; Allowing users to examine business data by drilling and cross-tabulating information.
ACID Transactions; Scalable Metadata Handling; Time Travel (data versioning); Open Format; Unified Batch and Streaming Source and Sink; Schema Enforcement; Schema Evolution; 100% Compatible with Apache Spark API
Statistics
GitHub Stars
1.2K
GitHub Stars
8.4K
GitHub Forks
735
GitHub Forks
1.9K
Stacks
19
Stacks
105
Followers
26
Followers
315
Votes
0
Votes
0
Integrations
JavaScript
JavaScript
Java
Java
Ubuntu
Ubuntu
Apache Spark
Apache Spark
Hadoop
Hadoop
Amazon S3
Amazon S3

What are some alternatives to Mondrian, Delta Lake?

Apache Spark

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.

Presto

Presto

Distributed SQL Query Engine for Big Data

Amazon Athena

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 Flink

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.

lakeFS

lakeFS

It is an open-source data version control system for data lakes. It provides a “Git for data” platform enabling you to implement best practices from software engineering on your data lake, including branching and merging, CI/CD, and production-like dev/test environments.

Druid

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Apache Kylin

Apache Kylin

Apache Kylin™ is an open source Distributed Analytics Engine designed to provide SQL interface and multi-dimensional analysis (OLAP) on Hadoop/Spark supporting extremely large datasets, originally contributed from eBay Inc.

Splunk

Splunk

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

Apache Impala

Apache Impala

Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.

Vertica

Vertica

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

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