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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. InfluxDB vs LiteDB vs SQLite

InfluxDB vs LiteDB vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
LiteDB
LiteDB
Stacks48
Followers187
Votes24

InfluxDB vs LiteDB vs SQLite: What are the differences?

Introduction:

InfluxDB, LiteDB, and SQLite are all database management systems, but they have some key differences that set them apart.

  1. Data Storage and Structure: InfluxDB is a time-series database designed to handle high volumes of time-stamped data efficiently. It stores data in a schema-less format, with measurement, tag sets, and fields. On the other hand, LiteDB and SQLite are document-oriented databases that store data in collections or tables, with a predefined structure.

  2. Scalability and Performance: InfluxDB is built for high scalability and can handle massive amounts of data and concurrent writes efficiently. It offers efficient compression algorithms and is optimized for time-series data, allowing for faster retrieval and analysis. LiteDB and SQLite, on the other hand, are more suited for smaller-scale applications and might not scale as well as InfluxDB for large datasets and high concurrency.

  3. Query Language and Functions: InfluxDB uses its own query language called InfluxQL, which is specifically designed for time-series data. It provides powerful functions for time-based analysis, aggregation, and filtering. LiteDB and SQLite, on the other hand, use SQL (Structured Query Language) for querying and manipulating data, providing a broader set of functions and operations for general-purpose database tasks.

  4. Concurrency and Transactions: InfluxDB provides support for concurrent writes and queries, allowing for high concurrency and real-time data processing. It also supports transactions for atomic operations. On the other hand, LiteDB and SQLite have limitations in terms of concurrency and transaction support. They are better suited for single-user applications or scenarios with limited concurrent access.

  5. Storage Engine: InfluxDB uses a log-structured merge (LSM) storage engine that efficiently handles time-series data by optimizing disk I/O and write throughput. LiteDB uses a single-file storage engine, where the entire database is stored in a single file. SQLite uses a file-based storage engine, where each database table is stored as a separate file in the file system.

  6. Architecture and Use Cases: InfluxDB is commonly used for monitoring, real-time analytics, and IoT applications where capturing, storing, and analyzing time-series data is critical. LiteDB and SQLite are often used as embedded databases or serverless databases in small-scale applications, mobile apps, or desktop applications where simplicity and lightweight requirements are important.

In Summary, InfluxDB is a high-performance time-series database designed for handling massive amounts of time-stamped data efficiently, while LiteDB and SQLite are document-oriented and more suited for smaller-scale applications with simpler requirements.

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Advice on SQLite, InfluxDB, LiteDB

Dimelo
Dimelo

Nov 5, 2020

Needs adviceonSQLiteSQLiteMySQLMySQLPostgreSQLPostgreSQL

I need to add a DBMS to my stack, but I don't know which. I'm tempted to learn SQLite since it would be useful to me with its focus on local access without concurrency. However, doing so feels like I would be defeating the purpose of trying to expand my skill set since it seems like most enterprise applications have the opposite requirements.

To be able to apply what I learn to more projects, what should I try to learn? MySQL? PostgreSQL? Something else? Is there a comfortable middle ground between high applicability and ease of use?

670k views670k
Comments
Anonymous
Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k
Comments
Stephen
Stephen

Senior DevOps Engineer at Vital Beats

Nov 9, 2020

Review

A question you might want to think about is "What kind of experience do I want to gain, by using a DBMS?". If your aim is to have experience with SQL and any related libraries and frameworks for your language of choice (python, I think?), then it kind of doesn't matter too much which you pick so much. As others have said, SQLite would offer you the ability to very easily get started, and would give you a reasonably standard (if a little basic) SQL dialect to work with.

If your aim is actually to have a bit of "operational" experience, in terms of things like what command line tools might be available as standard for the DBMS, understanding how the DBMS handles multiple databases, when to use multiple schemas vs multiple databases, some basic privilege management etc. Then I would recommend PostgreSQL. SQLite's simplicity actually avoids most of these experiences, which is not helpful to you if that is what you hope to learn. MySQL has a few "quirks" to how it manages things like multiple databases, which may lead you to making less good decisions if you tried to take your experience over to different DBMS, especially in bigger enterprise roles. PostgreSQL is kind of a happy middle ground here, with the ability to start PostgreSQL servers via docker or docker-compose making the actual day-to-day management pretty easy, while still giving you experience of the kinds of considerations I have listed above.

At Vital Beats we make use of PostgreSQL, largely because it offers us a happy balance between good management and backup of data, and good standard command line tools, which is essential for us where we are deploying our solutions within Kubernetes / docker, and so more graphical tools are not always appropriate for us. PostgreSQL is also pretty universally supported in terms of language libraries and frameworks, without having to make compromises on how we want to store and layout our data.

316k views316k
Comments

Detailed Comparison

SQLite
SQLite
InfluxDB
InfluxDB
LiteDB
LiteDB

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.

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.

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

-
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Standalone database; Fast and lightweight; Free for everyone, including commercial use
Statistics
Stacks
19.9K
Stacks
1.0K
Stacks
48
Followers
15.2K
Followers
1.2K
Followers
187
Votes
535
Votes
175
Votes
24
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
  • 59
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
Cons
  • 4
    Instability
  • 1
    Proprietary query language
  • 1
    HA or Clustering is only in paid version
Pros
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Capable of storing images or documents
Cons
  • 2
    Needs more real world examples
  • 2
    Online documentation needs improvement
Integrations
No integrations availableNo integrations available
.NET
.NET

What are some alternatives to SQLite, InfluxDB, LiteDB?

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.

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.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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