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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data Tools
  5. lakeFS vs Trino

lakeFS vs Trino

OverviewComparisonAlternatives

Overview

Trino
Trino
Stacks35
Followers35
Votes0
GitHub Stars12.1K
Forks3.4K
lakeFS
lakeFS
Stacks3
Followers3
Votes37
GitHub Stars5.0K
Forks403

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Detailed Comparison

Trino
Trino
lakeFS
lakeFS

It is a fast distributed SQL query engine for big data analytics that helps you explore your data universe. It is designed to query large data sets distributed over one or more heterogeneous data sources.

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.

Highly parallel and distributed query engine; Simplicity; Versatile; In-place analysis
Zero copy version management; Any data formats: structured, unstructured, open table, etc; Scales to Petabytes and millions of objects with negligible performance impact; Seamless integration with all your data stack
Statistics
GitHub Stars
12.1K
GitHub Stars
5.0K
GitHub Forks
3.4K
GitHub Forks
403
Stacks
35
Stacks
3
Followers
35
Followers
3
Votes
0
Votes
37
Pros & Cons
No community feedback yet
Pros
  • 2
    Easy integration with other tools
  • 2
    Doesn't require local copies of the data
  • 2
    Scales to big data
  • 2
    Full reproducibility
  • 2
    Strong Team
Integrations
Kafka
Kafka
Prometheus
Prometheus
Druid
Druid
MySQL
MySQL
Elasticsearch
Elasticsearch
MongoDB
MongoDB
PostgreSQL
PostgreSQL
Superset
Superset
Amazon S3
Amazon S3
Clickhouse
Clickhouse
Cloudera Enterprise
Cloudera Enterprise
Python
Python
Kafka
Kafka
Airflow
Airflow
Dremio
Dremio
DuckDB
DuckDB
Apache Hive
Apache Hive
Presto
Presto
Amazon Athena
Amazon Athena
dbt
dbt

What are some alternatives to Trino, lakeFS?

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

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.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

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.

OData

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

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.

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