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  1. Stackups
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  4. Databases
  5. ClustrixDB vs Scylla

ClustrixDB vs Scylla

OverviewDecisionsComparisonAlternatives

Overview

ClustrixDB
ClustrixDB
Stacks4
Followers35
Votes3
ScyllaDB
ScyllaDB
Stacks143
Followers197
Votes8

ClustrixDB vs Scylla: What are the differences?

# Introduction

Key differences between ClustrixDB and Scylla:

1. **Architecture**: ClustrixDB is a shared-nothing architecture where data is distributed across multiple nodes, whereas Scylla is a shared-nothing architecture with a masterless design.
2. **Consistency**: ClustrixDB provides strong consistency, while Scylla offers eventual consistency.
3. **Data Model**: ClustrixDB uses a relational data model with SQL support, while Scylla uses a NoSQL data model with CQL (Cassandra Query Language) support.
4. **Scaling**: ClustrixDB can scale both horizontally and vertically, while Scylla is designed for horizontal scaling.
5. **Storage Engine**: ClustrixDB uses a distributed shared-nothing architecture, whereas Scylla uses an LSM (Log-Structured Merge) tree-based storage engine.
6. **Indexing**: ClustrixDB uses traditional B-tree indexes, while Scylla utilizes SSTable-based indexes for efficient data retrieval.

In Summary, the key differences between ClustrixDB and Scylla lie in their architecture, consistency model, data model, scaling capabilities, storage engine, and indexing methods.

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Advice on ClustrixDB, ScyllaDB

Tom
Tom

CEO at Gentlent

Jun 9, 2020

Decided

The Gentlent Tech Team made lots of updates within the past year. The biggest one being our database:

We decided to migrate our #PostgreSQL -based database systems to a custom implementation of #Cassandra . This allows us to integrate our product data perfectly in a system that just makes sense. High availability and scalability are supported out of the box.

387k views387k
Comments
Vinay
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

ClustrixDB
ClustrixDB
ScyllaDB
ScyllaDB

ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.

ScyllaDB is the database for data-intensive apps that require high performance and low latency. It enables teams to harness the ever-increasing computing power of modern infrastructures – eliminating barriers to scale as data grows.

Is built from the ground up with a shared-nothing architecture. There is no MySQL code in ClustrixDB;Is built to scale transactions while maintaning ACID;Scales to add capacity by simply adding commodity servers to the cluster;Is fault tolerant and automatically recovers in the face of hardware or other failure;Uses a simple SQL interface that is compatible with MySQL syntax
High availability; horizontal scalability; vertical scalability; Cassandra compatible; DynamoDB compatible; wide column; NoSQL; lightweight transactions; change data capture; workload prioritization; shard-per-core; IO scheduler; self-tuning
Statistics
Stacks
4
Stacks
143
Followers
35
Followers
197
Votes
3
Votes
8
Pros & Cons
Pros
  • 1
    ClustrixDB is a scale-out RDBMS and drop-in replacement
  • 1
    Relational Scale-Out database
  • 1
    Very High Connection Count
Pros
  • 2
    Replication
  • 1
    High performance
  • 1
    Written in C++
  • 1
    High availability
  • 1
    Scale up
Integrations
No integrations available
KairosDB
KairosDB
Wireshark
Wireshark
JanusGraph
JanusGraph
Grafana
Grafana
Hackolade
Hackolade
Prometheus
Prometheus
Kubernetes
Kubernetes
Datadog
Datadog
Kafka
Kafka
Apache Spark
Apache Spark

What are some alternatives to ClustrixDB, ScyllaDB?

MongoDB

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

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

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

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

SQLite

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

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

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

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

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

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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