CockroachDB vs InfluxDB

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

CockroachDB

Stacks216

Followers341

Votes0

CockroachDB vs InfluxDB: What are the differences?

Consistency vs. Scalability: CockroachDB prioritizes consistency, ensuring that data is always consistent across the database, even in the face of network partitions. In contrast, InfluxDB focuses on scalability, enabling efficient storage and querying of time series data at a massive scale.
Data Model: CockroachDB uses a traditional SQL database model, allowing for relational data storage with ACID compliance. On the other hand, InfluxDB is designed specifically for managing time series data, optimized for frequent writes and aggregations commonly found in monitoring and analytics use cases.
Partitioning: CockroachDB uses horizontal partitioning with automatic sharding to distribute data across nodes for improved performance. In comparison, InfluxDB utilizes a concept called "shards" to partition data, enabling efficient storage and querying of time series data.
Query Language: CockroachDB supports SQL as its query language, providing a familiar interface for developers experienced with relational databases. In contrast, InfluxDB offers InfluxQL, a query language tailored for time series data analysis, with functions optimized for aggregating and querying time-stamped data.
Use Cases: CockroachDB is suitable for use cases that require strong consistency, high availability, and horizontal scalability, such as transactional applications or multi-region deployments. InfluxDB is well-suited for handling large volumes of time series data, commonly used in monitoring, IoT, and real-time analytics applications.
Community and Ecosystem: CockroachDB has a growing community and ecosystem around it, with support for integrations and tools from various vendors. InfluxDB also has a strong community backing, especially among users in the monitoring and analytics space, with plugins and connectors available for seamless integration with other systems.

In Summary, CockroachDB prioritizes consistency and scalability in relational data storage, while InfluxDB specializes in handling time series data at scale with optimizations for efficient querying and analysis.

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Advice on InfluxDB, CockroachDB

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

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

Sep 16, 2020

Needs adviceon

MariaDB

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	CockroachDB
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.	CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	sql; high availability; fast; acid;
Statistics
Stacks 1.0K	Stacks 216
Followers 1.2K	Followers 341
Votes 175	Votes 0
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 Proprietary query language 1 HA or Clustering is only in paid version	No community feedback yet

What are some alternatives to InfluxDB, CockroachDB?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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 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

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.

Related Comparisons

CockroachDB vs InfluxDB: What are the differences?

Consistency vs. Scalability: CockroachDB prioritizes consistency, ensuring that data is always consistent across the database, even in the face of network partitions. In contrast, InfluxDB focuses on scalability, enabling efficient storage and querying of time series data at a massive scale.
Data Model: CockroachDB uses a traditional SQL database model, allowing for relational data storage with ACID compliance. On the other hand, InfluxDB is designed specifically for managing time series data, optimized for frequent writes and aggregations commonly found in monitoring and analytics use cases.
Partitioning: CockroachDB uses horizontal partitioning with automatic sharding to distribute data across nodes for improved performance. In comparison, InfluxDB utilizes a concept called "shards" to partition data, enabling efficient storage and querying of time series data.
Query Language: CockroachDB supports SQL as its query language, providing a familiar interface for developers experienced with relational databases. In contrast, InfluxDB offers InfluxQL, a query language tailored for time series data analysis, with functions optimized for aggregating and querying time-stamped data.
Use Cases: CockroachDB is suitable for use cases that require strong consistency, high availability, and horizontal scalability, such as transactional applications or multi-region deployments. InfluxDB is well-suited for handling large volumes of time series data, commonly used in monitoring, IoT, and real-time analytics applications.
Community and Ecosystem: CockroachDB has a growing community and ecosystem around it, with support for integrations and tools from various vendors. InfluxDB also has a strong community backing, especially among users in the monitoring and analytics space, with plugins and connectors available for seamless integration with other systems.

CockroachDB vs InfluxDB

Overview