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  5. Apache Parquet vs Querybook

Apache Parquet vs Querybook

OverviewComparisonAlternatives

Overview

Apache Parquet
Apache Parquet
Stacks97
Followers190
Votes0
Querybook
Querybook
Stacks4
Followers19
Votes0
GitHub Stars2.2K
Forks277

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Detailed Comparison

Apache Parquet
Apache Parquet
Querybook
Querybook

It is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.

It is a Big Data IDE that allows you to discover, create, and share data analyses, queries, and tables. It's core focus is to make composing queries, creating analyses, and collaborating with others as simple as possible.

Columnar storage format;Type-specific encoding; Pig integration; Cascading integration; Crunch integration; Apache Arrow integration; Apache Scrooge integration;Adaptive dictionary encoding; Predicate pushdown; Column stats
Organize analyses with rich text, queries, and charts; Compose queries with autocompletion and hovering tooltip; Use scheduling + charting in DataDocs to build dashboards; Live query collaborations with others; Add additional documentation to your tables; Get lineage, sample queries, frequent user, search ranking based on past query runs
Statistics
GitHub Stars
-
GitHub Stars
2.2K
GitHub Forks
-
GitHub Forks
277
Stacks
97
Stacks
4
Followers
190
Followers
19
Votes
0
Votes
0
Integrations
Hadoop
Hadoop
Java
Java
Apache Impala
Apache Impala
Apache Thrift
Apache Thrift
Apache Hive
Apache Hive
Pig
Pig
Apache Hive
Apache Hive
Druid
Druid
Snowflake
Snowflake
Presto
Presto
Oracle
Oracle
Microsoft SQL Server
Microsoft SQL Server
Google BigQuery
Google BigQuery
PostgreSQL
PostgreSQL
MySQL
MySQL
SQLite
SQLite

What are some alternatives to Apache Parquet, Querybook?

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.

PhpStorm

PhpStorm

PhpStorm is a PHP IDE which keeps up with latest PHP & web languages trends, integrates a variety of modern tools, and brings even more extensibility with support for major PHP frameworks.

IntelliJ IDEA

IntelliJ IDEA

Out of the box, IntelliJ IDEA provides a comprehensive feature set including tools and integrations with the most important modern technologies and frameworks for enterprise and web development with Java, Scala, Groovy and other languages.

Visual Studio

Visual Studio

Visual Studio is a suite of component-based software development tools and other technologies for building powerful, high-performance applications.

WebStorm

WebStorm

WebStorm is a lightweight and intelligent IDE for front-end development and server-side JavaScript.

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.

NetBeans IDE

NetBeans IDE

NetBeans IDE is FREE, open source, and has a worldwide community of users and developers.

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