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Learn MorePros of InfluxDB
Pros of MariaDB
Pros of ToroDB
Pros of InfluxDB
- Time-series data analysis58
- Easy setup, no dependencies30
- Fast, scalable & open source24
- Open source21
- Real-time analytics20
- Continuous Query support6
- Easy Query Language5
- HTTP API4
- Out-of-the-box, automatic Retention Policy4
- Offers Enterprise version1
- Free Open Source version1
Pros of MariaDB
- Drop-in mysql replacement149
- Great performance100
- Open source74
- Free55
- Easy setup44
- Easy and fast15
- Lead developer is "monty" widenius the founder of mysql14
- Also an aws rds service6
- Consistent and robust4
- Learning curve easy4
- Native JSON Support / Dynamic Columns2
- Real Multi Threaded queries on a table/db1
Pros of ToroDB
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Cons of InfluxDB
Cons of MariaDB
Cons of ToroDB
Cons of InfluxDB
- Instability4
- Proprietary query language1
- HA or Clustering is only in paid version1
Cons of MariaDB
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Cons of ToroDB
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What is 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.
What is 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.
What is ToroDB?
ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.
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What tools integrate with InfluxDB?
What tools integrate with MariaDB?
What tools integrate with ToroDB?
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What are some alternatives to InfluxDB, MariaDB, and ToroDB?
TimescaleDB
TimescaleDB: An open-source database built for analyzing
time-series data with the power and convenience of
SQL — on premise, at the edge, or in the cloud.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
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.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.