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  1. Stackups
  2. Application & Data
  3. Databases
  4. Orm
  5. Doctrine 2 vs InfluxDB

Doctrine 2 vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

Doctrine 2
Doctrine 2
Stacks284
Followers207
Votes31
InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175

Doctrine 2 vs InfluxDB: What are the differences?

<Write Introduction here>
  1. Database Type: Doctrine 2 is an object-relational mapping (ORM) framework that works with relational databases, while InfluxDB is a time-series database specifically designed for time-series data storage and retrieval.
  2. Data Model: Doctrine 2 uses a traditional relational data model with tables, rows, and columns, allowing for complex relationships between entities, whereas InfluxDB uses a tag-value data model optimized for timestamped data, making it efficient for time-series data storage.
  3. Query Language: Doctrine 2 uses SQL for querying data, providing powerful query capabilities, including joins and aggregate functions, whereas InfluxDB uses InfluxQL, a SQL-like query language optimized for working with time-series data, enabling specific time-based operations.
  4. Scalability: Doctrine 2 may face challenges when scaling horizontally due to its relational database nature, whereas InfluxDB is designed for high scalability in handling massive amounts of time-series data with built-in clustering and sharding capabilities.
  5. Use Cases: Doctrine 2 is suitable for applications that require complex data modeling and relationships with traditional relational databases, while InfluxDB is ideal for use cases involving large volumes of time-series data such as monitoring, IoT, and analytics applications.
  6. Data Retention: InfluxDB provides features for downsampling and data retention policies tailored for time-series data, allowing users to efficiently manage and store historical data compared to traditional databases like Doctrine 2.
In Summary, Doctrine 2 and InfluxDB differ in their databases types, data models, query languages, scalability, use cases, and data retention strategies.

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Advice on Doctrine 2, InfluxDB

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
Benoit
Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k
Comments
pionell
pionell

Sep 16, 2020

Needs adviceonMariaDBMariaDB

I have a lot of data that's currently sitting in a MariaDB database, a lot of tables that weigh 200gb with indexes. Most of the large tables have a date column which is always filtered, but there are usually 4-6 additional columns that are filtered and used for statistics. I'm trying to figure out the best tool for storing and analyzing large amounts of data. Preferably self-hosted or a cheap solution. The current problem I'm running into is speed. Even with pretty good indexes, if I'm trying to load a large dataset, it's pretty slow.

159k views159k
Comments

Detailed Comparison

Doctrine 2
Doctrine 2
InfluxDB
InfluxDB

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

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.

-
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Statistics
Stacks
284
Stacks
1.0K
Followers
207
Followers
1.2K
Votes
31
Votes
175
Pros & Cons
Pros
  • 14
    Great abstraction, easy to use, good docs
  • 10
    Object-Oriented
  • 7
    Easy setup
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
Integrations
PHP
PHP
No integrations available

What are some alternatives to Doctrine 2, InfluxDB?

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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