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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Azure Storage vs InfluxDB

Azure Storage vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
Azure Storage
Azure Storage
Stacks1.3K
Followers787
Votes52

Azure Storage vs InfluxDB: What are the differences?

Azure Storage vs InfluxDB

Azure Storage and InfluxDB are two popular data storage solutions that offer distinct features and functionalities. In this comparison, we will discuss the key differences between the two.

  1. Data Structure: Azure Storage is a general-purpose storage service that stores unstructured data such as files, blobs, and tables. In contrast, InfluxDB is a time-series database specifically designed to handle time-based data and efficiently store, retrieve, and analyze data points along with their timestamps.

  2. Scalability and Performance: Azure Storage provides highly scalable storage that can handle large volumes of data and supports automatic scaling. It offers high availability and durability. InfluxDB, on the other hand, is optimized for high ingestion and query performance of time-series data. It utilizes an efficient indexing and storage mechanism to handle large volumes of time-stamped data efficiently.

  3. Querying and Analysis: Azure Storage provides limited querying capabilities, primarily based on simple filters and searches within the stored data. InfluxDB, on the contrary, offers a powerful query language specifically designed for time-series data analysis. It supports complex queries, aggregations, and functions to perform advanced analysis on time-stamped data.

  4. Integration with Ecosystem: Azure Storage integrates well with other Azure services and provides seamless data access across Azure services. It is also compatible with various programming languages and frameworks. InfluxDB, though comparatively less integrated with other services, offers a rich ecosystem of tools and integrations specifically tailored for time-series data analysis. It provides native support for popular open-source tools like Grafana and Telegraf.

  5. Data Retention and Lifespan: Azure Storage allows indefinite data retention, providing long-term storage for historical data. InfluxDB, on the other hand, allows data retention policies to be set, defining the lifespan of data in the database. It provides efficient data retention management for time-series data, allowing the automatic deletion of old data based on defined policies.

  6. Service Focus: Azure Storage is a multi-purpose cloud storage service that caters to various data storage needs, not limited to time-series data. InfluxDB, being a purpose-built time-series database, focuses primarily on providing efficient storage, retrieval, and analysis of time-based data. It is optimized for the specific requirements of time-series data use cases.

In summary, Azure Storage is a versatile storage service catering to a wide range of data storage needs, while InfluxDB is a specialized time-series database offering optimized storage, querying, and analysis capabilities for time-stamped data. The choice between the two depends on the specific requirements and use cases of the application.

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Advice on InfluxDB, Azure Storage

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

InfluxDB
InfluxDB
Azure Storage
Azure Storage

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.

Azure Storage provides the flexibility to store and retrieve large amounts of unstructured data, such as documents and media files with Azure Blobs; structured nosql based data with Azure Tables; reliable messages with Azure Queues, and use SMB based Azure Files for migrating on-premises applications to the cloud.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
Blobs, Tables, Queues, and Files;Highly scalable;Durable & highly available;Premium Storage;Designed for developers
Statistics
Stacks
1.0K
Stacks
1.3K
Followers
1.2K
Followers
787
Votes
175
Votes
52
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
  • 24
    All-in-one storage solution
  • 15
    Pay only for data used regardless of disk size
  • 9
    Shared drive mapping
  • 2
    Cost-effective
  • 2
    Cheapest hot and cloud storage
Cons
  • 2
    Direct support is not provided by Azure storage
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

What are some alternatives to InfluxDB, Azure Storage?

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.

Amazon S3

Amazon S3

Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web

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.

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