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  1. Stackups
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  4. Databases
  5. InfluxDB vs Oracle PL/SQL

InfluxDB vs Oracle PL/SQL

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
Oracle PL/SQL
Oracle PL/SQL
Stacks748
Followers598
Votes8

InfluxDB vs Oracle PL/SQL: What are the differences?

What is InfluxDB? An open-source distributed time series database with no external dependencies. 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..

What is Oracle PL/SQL? It is a combination of SQL along with the procedural features of programming languages. It is available in Oracle Database, TimesTen in-memory database, and IBM DB2. Oracle Corporation usually extends PL/SQL functionality with each successive release of the Oracle Database.

InfluxDB belongs to "Databases" category of the tech stack, while Oracle PL/SQL can be primarily classified under "Query Languages".

InfluxDB is an open source tool with 17.1K GitHub stars and 2.43K GitHub forks. Here's a link to InfluxDB's open source repository on GitHub.

trivago, Redox Engine, and Thumbtack are some of the popular companies that use InfluxDB, whereas Oracle PL/SQL is used by Matrix Absence Management Inc, Pre2000, and CUBE. InfluxDB has a broader approval, being mentioned in 166 company stacks & 259 developers stacks; compared to Oracle PL/SQL, which is listed in 12 company stacks and 31 developer stacks.

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Advice on InfluxDB, Oracle PL/SQL

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

Detailed Comparison

InfluxDB
InfluxDB
Oracle PL/SQL
Oracle PL/SQL

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.

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
-
Statistics
Stacks
1.0K
Stacks
748
Followers
1.2K
Followers
598
Votes
175
Votes
8
Pros & Cons
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
    HA or Clustering is only in paid version
  • 1
    Proprietary query language
Pros
  • 2
    Multiple ways to accomplish the same end
  • 2
    Powerful
  • 1
    Not mysql
  • 1
    Pl/sql
  • 1
    Massive, continuous investment by Oracle Corp
Cons
  • 2
    High commercial license cost
Integrations
No integrations available
Python
Python
PHP
PHP
.NET
.NET
Node.js
Node.js
Oracle
Oracle
Hadoop
Hadoop
Java
Java

What are some alternatives to InfluxDB, Oracle PL/SQL?

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.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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.

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