Datastax Enterprise vs InfluxDB

Overview

InfluxDB

Stacks1.0K

Followers1.2K

Votes175

DataStax Enterprise

Stacks48

Followers53

Votes0

Datastax Enterprise vs InfluxDB: What are the differences?

Datastax Enterprise: DataStax Enterprise is a distributed, scalable, and highly available database built on Apache Cassandra that offers advanced security features such as LDAP and Kerberos authentication, while supporting a wide range of data models including tabular, key-value, JSON, and graph.
InfluxDB: InfluxDB is a time-series database designed for high write and query performance, making it ideal for handling large volumes of time-stamped data efficiently without sacrificing speed or accuracy.
Data Replication and Sharding: DataStax Enterprise utilizes data replication and sharding strategies to ensure data durability and availability across multiple nodes, making it suitable for applications requiring high availability and fault tolerance.
Data Retention Policies: InfluxDB provides flexible data retention policies that allow users to define how long data is retained in the system, enabling efficient management of data storage and optimization of database performance.
Query Language: Datastax Enterprise uses CQL (Cassandra Query Language) for querying data, which is a SQL-like language optimized for distributed databases, while InfluxDB utilizes InfluxQL, a language specifically tailored for querying time-series data efficiently.
Community Support: InfluxDB has a strong open-source community and extensive documentation, making it easier for users to get support, find resources, and collaborate on development compared to DataStax Enterprise.

In Summary, Datastax Enterprise and InfluxDB differ in terms of advanced security features, data replication and sharding strategies, data retention policies, query language, and community support.

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Advice on InfluxDB, DataStax Enterprise

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

Detailed Comparison

InfluxDB	DataStax Enterprise
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.	Scale-out NoSQL for any workload Built on Apache Cassandra™, DataStax Enterprise adds NoSQL workloads including search, graph, and analytics, with operational reliability hardened by the largest internet apps and the Fortune 100.
Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer	Hybrid; Lightning Fast; Distributed
Statistics
Stacks 1.0K	Stacks 48
Followers 1.2K	Followers 53
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
Integrations
No integrations available	Kubernetes Apache Spark Kafka Cassandra Apache Solr

What are some alternatives to InfluxDB, DataStax Enterprise?

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

Datastax Enterprise vs InfluxDB: What are the differences?

Datastax Enterprise: DataStax Enterprise is a distributed, scalable, and highly available database built on Apache Cassandra that offers advanced security features such as LDAP and Kerberos authentication, while supporting a wide range of data models including tabular, key-value, JSON, and graph.
InfluxDB: InfluxDB is a time-series database designed for high write and query performance, making it ideal for handling large volumes of time-stamped data efficiently without sacrificing speed or accuracy.
Data Replication and Sharding: DataStax Enterprise utilizes data replication and sharding strategies to ensure data durability and availability across multiple nodes, making it suitable for applications requiring high availability and fault tolerance.
Data Retention Policies: InfluxDB provides flexible data retention policies that allow users to define how long data is retained in the system, enabling efficient management of data storage and optimization of database performance.
Query Language: Datastax Enterprise uses CQL (Cassandra Query Language) for querying data, which is a SQL-like language optimized for distributed databases, while InfluxDB utilizes InfluxQL, a language specifically tailored for querying time-series data efficiently.
Community Support: InfluxDB has a strong open-source community and extensive documentation, making it easier for users to get support, find resources, and collaborate on development compared to DataStax Enterprise.

In Summary, Datastax Enterprise and InfluxDB differ in terms of advanced security features, data replication and sharding strategies, data retention policies, query language, and community support.

Datastax Enterprise vs InfluxDB

Overview