Cassandra vs etcd

Overview

Cassandra

Stacks3.6K

Followers3.5K

Votes507

GitHub Stars9.5K

Forks3.8K

etcd

Stacks308

Followers412

Votes24

Cassandra vs etcd: What are the differences?

Key Differences between Cassandra and etcd

Cassandra and etcd are two popular distributed databases used for different purposes. While both are designed to handle large amounts of data, they have several key differences:

Data Model: Cassandra is a wide-column store database that uses a schema-free approach, allowing for flexible data structures. On the other hand, etcd is a key-value store database that stores data as key-value pairs, making it more suitable for simpler data structures.
Consistency Model: Cassandra uses eventual consistency, which means that updates may take some time to propagate throughout the system, leading to potential data conflicts. In contrast, etcd offers strong consistency, ensuring that updates are visible to all nodes immediately, reducing the chances of conflicts.
Partitioning: Cassandra uses consistent hashing to distribute data across multiple nodes, allowing for horizontal scaling and fault tolerance. In comparison, etcd uses range partitioning, where data is divided into ranges and stored in different nodes based on the key's range, providing efficient read and write operations.
Concurrency Control: Cassandra utilizes a last-write-wins conflict resolution strategy, where the latest update to a data record is considered the valid one. In contrast, etcd supports optimistic concurrency control, allowing multiple clients to perform concurrent updates and resolving conflicts based on timestamps.
Queries and Indexing: Cassandra supports a query language called CQL (Cassandra Query Language), which provides a SQL-like interface for querying data. Additionally, Cassandra allows indexing on different columns to optimize search performance. On the other hand, etcd does not support complex queries or indexing; it primarily focuses on fast key-value lookups.
Distributed Consensus: Cassandra uses a decentralized peer-to-peer architecture with no single point of failure, achieving fault tolerance through data replication across multiple nodes. In contrast, etcd utilizes the Raft consensus algorithm, where a leader node coordinates updates and ensures consistency among the cluster members.

In summary, Cassandra and etcd differ in their data models, consistency models, partitioning strategies, concurrency control mechanisms, query capabilities, and distributed consensus approaches. These distinctions make each database suitable for specific use cases and requirements.

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Advice on Cassandra, etcd

Vinay

Head of Engineering

Sep 19, 2019

Needs advice

The problem I have is - we need to process & change(update/insert) 55M Data every 2 min and this updated data to be available for Rest API for Filtering / Selection. Response time for Rest API should be less than 1 sec.

The most important factors for me are processing and storing time of 2 min. There need to be 2 views of Data One is for Selection & 2. Changed data.

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Detailed Comparison

Cassandra	etcd
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.	etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines. It’s open-source and available on GitHub. etcd gracefully handles master elections during network partitions and will tolerate machine failure, including the master.
Statistics
GitHub Stars 9.5K	GitHub Stars -
GitHub Forks 3.8K	GitHub Forks -
Stacks 3.6K	Stacks 308
Followers 3.5K	Followers 412
Votes 507	Votes 24
Pros & Cons
Pros 119 Distributed 98 High performance 81 High availability 74 Easy scalability 53 Replication Cons 3 Reliability of replication 1 Size 1 Updates	Pros 11 Service discovery 6 Fault tolerant key value store 2 Secure 2 Bundled with coreos 1 Open Source

What are some alternatives to Cassandra, etcd?

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.

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.

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

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

Cassandra vs etcd: What are the differences?

Key Differences between Cassandra and etcd

Cassandra and etcd are two popular distributed databases used for different purposes. While both are designed to handle large amounts of data, they have several key differences:

Data Model: Cassandra is a wide-column store database that uses a schema-free approach, allowing for flexible data structures. On the other hand, etcd is a key-value store database that stores data as key-value pairs, making it more suitable for simpler data structures.
Consistency Model: Cassandra uses eventual consistency, which means that updates may take some time to propagate throughout the system, leading to potential data conflicts. In contrast, etcd offers strong consistency, ensuring that updates are visible to all nodes immediately, reducing the chances of conflicts.
Partitioning: Cassandra uses consistent hashing to distribute data across multiple nodes, allowing for horizontal scaling and fault tolerance. In comparison, etcd uses range partitioning, where data is divided into ranges and stored in different nodes based on the key's range, providing efficient read and write operations.
Concurrency Control: Cassandra utilizes a last-write-wins conflict resolution strategy, where the latest update to a data record is considered the valid one. In contrast, etcd supports optimistic concurrency control, allowing multiple clients to perform concurrent updates and resolving conflicts based on timestamps.
Queries and Indexing: Cassandra supports a query language called CQL (Cassandra Query Language), which provides a SQL-like interface for querying data. Additionally, Cassandra allows indexing on different columns to optimize search performance. On the other hand, etcd does not support complex queries or indexing; it primarily focuses on fast key-value lookups.
Distributed Consensus: Cassandra uses a decentralized peer-to-peer architecture with no single point of failure, achieving fault tolerance through data replication across multiple nodes. In contrast, etcd utilizes the Raft consensus algorithm, where a leader node coordinates updates and ensures consistency among the cluster members.

Cassandra vs etcd

Overview

Cassandra vs etcd: What are the differences?