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  1. Stackups
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  4. Databases
  5. lakeFS vs Vertica

lakeFS vs Vertica

OverviewComparisonAlternatives

Overview

Vertica
Vertica
Stacks88
Followers120
Votes16
lakeFS
lakeFS
Stacks3
Followers3
Votes37
GitHub Stars5.0K
Forks403

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Detailed Comparison

Vertica
Vertica
lakeFS
lakeFS

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

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.

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;Future-Proof Your Analytics
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
-
GitHub Stars
5.0K
GitHub Forks
-
GitHub Forks
403
Stacks
88
Stacks
3
Followers
120
Followers
3
Votes
16
Votes
37
Pros & Cons
Pros
  • 3
    Shared nothing or shared everything architecture
  • 1
    Flexible architecture suits nearly any project
  • 1
    Reduce costs as reduced hardware is required
  • 1
    Offers users the freedom to choose deployment mode
  • 1
    Partition pruning and predicate push down on Parquet
Pros
  • 2
    Doesn't require local copies of the data
  • 2
    Strong Team
  • 2
    Open Source
  • 2
    Scalability
  • 2
    Cloud agnostic
Integrations
Oracle
Oracle
Golang
Golang
MongoDB
MongoDB
MySQL
MySQL
Sass
Sass
Mode
Mode
PowerBI
PowerBI
Tableau
Tableau
Talend
Talend
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 Vertica, lakeFS?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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