Cassandra vs Tarantool

Overview

Cassandra

Stacks3.6K

Followers3.5K

Votes507

GitHub Stars9.5K

Forks3.8K

Tarantool

Stacks32

Followers45

Votes9

GitHub Stars3.6K

Forks394

Cassandra vs Tarantool: What are the differences?

Key Differences between Cassandra and Tarantool

Cassandra and Tarantool are two popular database management systems with different features and use cases. Here are the key differences between them:

1. Data Model: Cassandra is a wide-column NoSQL database that follows the key-value model with a flexible schema. It is suitable for large-scale applications with high write throughput and horizontal scalability. On the other hand, Tarantool is an in-memory database and application server that follows the key-value model with support for SQL and stored procedures. It is optimized for real-time applications with low latency requirements.

2. Storage Architecture: Cassandra is designed to distribute data across multiple nodes using a peer-to-peer architecture. It provides fault-tolerance and data redundancy with eventual consistency. In contrast, Tarantool utilizes a master-slave replication model for storage with synchronous replication for high availability and strong consistency.

3. Query Language: Cassandra supports its own query language called CQL (Cassandra Query Language), which is similar to SQL but with some differences. It allows for flexible querying and supports various data types. On the other hand, Tarantool supports both SQL and its own Lua-based scripting language. This makes it more versatile for complex operations and stored procedures.

4. Performance: Cassandra is known for its high write throughput and scalable performance, making it suitable for write-heavy workloads. It can handle large data volumes with ease. Tarantool, on the other hand, excels in low-latency scenarios where rapid data retrieval is crucial. It provides fast in-memory processing capabilities and is ideal for real-time applications.

5. Use Cases: Cassandra is commonly used in scenarios that require high availability, scalability, and fault-tolerance, such as big data analytics, content management systems, and messaging platforms. Tarantool finds its usage in real-time applications, such as gaming, instant messaging, and financial systems that demand low-latency processing and high data integrity.

6. Community and Ecosystem: Cassandra has a large and active community with extensive documentation, libraries, and tools available. It is backed by Apache Software Foundation, ensuring continuous development and support. Tarantool, although less popular, also has an active community and provides a rich ecosystem with features like an application server, clustering, and replication.

In summary, Cassandra and Tarantool differ in their data models, storage architectures, query languages, performance characteristics, use cases, and community ecosystems.

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Advice on Cassandra, Tarantool

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.

174k views174k

Comments

Detailed Comparison

Cassandra	Tarantool
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.	It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications
-	Fast; Open source; Easy to use;Multiple index types: HASH, TREE, RTREE, BITSET;Asynchronous master-master replication;Authentication and access control;The database is just a C extension to the application server and can be turned off
Statistics
GitHub Stars 9.5K	GitHub Stars 3.6K
GitHub Forks 3.8K	GitHub Forks 394
Stacks 3.6K	Stacks 32
Followers 3.5K	Followers 45
Votes 507	Votes 9
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 3 Performance 2 Super fast 2 Open source 1 Advanced key-value cache 1 In-memory cache
Integrations
No integrations available	Node.js Perl Java Python Golang NGINX C#

What are some alternatives to Cassandra, Tarantool?

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.

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.

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.

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.

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Cassandra vs Tarantool: What are the differences?

Key Differences between Cassandra and Tarantool

Cassandra and Tarantool are two popular database management systems with different features and use cases. Here are the key differences between them:

In summary, Cassandra and Tarantool differ in their data models, storage architectures, query languages, performance characteristics, use cases, and community ecosystems.