Software Alternatives & Reviews

OpenTSDB VS Apache Cassandra

Compare OpenTSDB VS Apache Cassandra and see what are their differences

OpenTSDB logo OpenTSDB

OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • OpenTSDB Landing page
    Landing page //
    2021-09-26
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

OpenTSDB

Categories
  • Databases
  • Time Series Database
  • Time Series Data
  • Vector Databases
Website opentsdb.net
Details $

Apache Cassandra

Categories
  • Databases
  • NoSQL Databases
  • Relational Databases
  • Big Data
Website cassandra.apache.org
Details $-

OpenTSDB videos

OpenTSDB - Time Series Schema on Schemaless NoSQL

More videos:

  • Review - OpenTSDB: A Scalable, Distributed Time Series Database

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to OpenTSDB and Apache Cassandra)
Databases
11 11%
89% 89
Time Series Database
100 100%
0% 0
NoSQL Databases
0 0%
100% 100
Monitoring Tools
100 100%
0% 0

User comments

Share your experience with using OpenTSDB and Apache Cassandra. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare OpenTSDB and Apache Cassandra

OpenTSDB Reviews

4 Best Time Series Databases To Watch in 2019
OpenTSDB has been running for quite more time than its competitors and is one of the first technologies to address the need to store time series data at a very large scale. OpenTSDB promises to be able to store hundreds of billions of data rows over distributed instances of TSD servers.
Source: medium.com

Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 40 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenTSDB mentions (0)

We have not tracked any mentions of OpenTSDB yet. Tracking of OpenTSDB recommendations started around Mar 2021.

Apache Cassandra mentions (40)

  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 10 days ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / about 2 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 7 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
  • NoSQL Databases vs Graph Databases: Which one should you use?
    To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing OpenTSDB and Apache Cassandra, you can also consider the following products

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

TimescaleDB - TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Prometheus - An open-source systems monitoring and alerting toolkit.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.