QuestDB vs SQLite

Overview

SQLite

Stacks19.9K

Followers15.2K

Votes535

QuestDB

Stacks19

Followers50

Votes17

GitHub Stars16.3K

Forks1.5K

QuestDB vs SQLite: What are the differences?

Database Type: QuestDB is a time-series database while SQLite is a relational database management system (RDBMS) that can handle various types of data.
Performance: QuestDB is designed for high-performance real-time data analytics and can handle millions of records per second, whereas SQLite is more suited for smaller-scale applications and does not excel in high-performance scenarios.
Concurrency Control: QuestDB offers better concurrency control compared to SQLite, making it more suitable for multi-user environments where simultaneous read and write operations are common.
Storage Engine: QuestDB uses a column-oriented storage engine optimized for time-series data, enabling faster query execution on large datasets than SQLite's row-oriented storage engine.
SQL Support: SQLite supports a wider range of SQL features and syntax compared to QuestDB, making it more versatile in handling complex queries and operations.
Acid Compliance: SQLite is fully ACID compliant, while QuestDB sacrifices some degree of ACID properties in favor of high performance, making it more suitable for scenarios where ACID compliance is not critical.

In Summary, QuestDB and SQLite differ in their database type, performance, concurrency control, storage engine, SQL support, and ACID compliance.

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Advice on SQLite, QuestDB

Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

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Detailed Comparison

SQLite	QuestDB
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.	QuestDB is an open source database for time series, events, and analytical workloads with a primary focus on performance. It enhances ANSI SQL with time series extensions.
-	Relational model for time series; SIMD accelerated queries; Time partitioned; Heavy parallelization; Scalable ingestion; Immediate consistency; Time series and relational joins; Native InfluxDB line protocol; Grafana through Postgres wire support; Schema or schema-free; Aggregations and down sampling
Statistics
GitHub Stars -	GitHub Stars 16.3K
GitHub Forks -	GitHub Forks 1.5K
Stacks 19.9K	Stacks 19
Followers 15.2K	Followers 50
Votes 535	Votes 17
Pros & Cons
Pros 163 Lightweight 135 Portable 122 Simple 81 Sql 29 Preinstalled on iOS and Android Cons 2 Not for multi-process of multithreaded apps 1 Needs different binaries for each platform	Pros 2 SQL 2 Postgres wire protocol 2 Real-time analytics 2 No dependencies 2 Time-series data analysis
Integrations
No integrations available	InfluxDB Java PostgreSQL

What are some alternatives to SQLite, QuestDB?

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

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

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 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

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 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

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.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

Related Comparisons

QuestDB vs SQLite: What are the differences?

Database Type: QuestDB is a time-series database while SQLite is a relational database management system (RDBMS) that can handle various types of data.
Performance: QuestDB is designed for high-performance real-time data analytics and can handle millions of records per second, whereas SQLite is more suited for smaller-scale applications and does not excel in high-performance scenarios.
Concurrency Control: QuestDB offers better concurrency control compared to SQLite, making it more suitable for multi-user environments where simultaneous read and write operations are common.
Storage Engine: QuestDB uses a column-oriented storage engine optimized for time-series data, enabling faster query execution on large datasets than SQLite's row-oriented storage engine.
SQL Support: SQLite supports a wider range of SQL features and syntax compared to QuestDB, making it more versatile in handling complex queries and operations.
Acid Compliance: SQLite is fully ACID compliant, while QuestDB sacrifices some degree of ACID properties in favor of high performance, making it more suitable for scenarios where ACID compliance is not critical.

In Summary, QuestDB and SQLite differ in their database type, performance, concurrency control, storage engine, SQL support, and ACID compliance.

QuestDB vs SQLite

Overview