Overview

ScyllaDB

Stacks143

Followers197

Votes8

ApsaraDB

Stacks7

Followers5

Votes0

ApsaraDB vs Scylla: What are the differences?

<Write Introduction here>

Data Model: ApsaraDB primarily uses a relational database model, while Scylla is a distributed NoSQL database that uses a wide-column store data model.
Consistency: ApsaraDB provides strong consistency by default, ensuring that all reads reflect the latest write. In contrast, Scylla offers tunable consistency levels where users can choose between strong consistency or eventual consistency based on their specific requirements.
Storage Engine: ApsaraDB uses InnoDB as its default storage engine, which is suitable for OLTP workloads. On the other hand, Scylla utilizes a highly efficient storage engine called Seastar that is optimized for high-throughput and low-latency workloads.
Partitioning Strategy: ApsaraDB uses horizontal partitioning for scaling data across multiple nodes, while Scylla relies on a shared-nothing architecture with automatic data partitioning for managing data distribution and scalability.
Indexing: ApsaraDB supports various indexing mechanisms like B-tree and full-text indexes for efficient data retrieval. In contrast, Scylla uses secondary indexes and materialized views for flexible querying and indexing capabilities.
Performance: ApsaraDB is known for its robust performance for transactional workloads with features like caching and storage optimizations. Scylla, on the other hand, excels in high-throughput and low-latency scenarios due to its optimized storage engine and distributed architecture.

In Summary, ApsaraDB and Scylla differ in their data model, consistency levels, storage engines, partitioning strategies, indexing mechanisms, and performance characteristics.

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Advice on ScyllaDB, ApsaraDB

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

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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Comments

Detailed Comparison

ScyllaDB	ApsaraDB
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.	It is an on-demand database hosting service for MySQL, SQL Server and PostgreSQL with automated monitoring, backup and disaster recovery capabilities.
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	Access control; Protection and encryption; SQL audit; Highly available; Flexible and scalable;Inexpensive
Statistics
Stacks 143	Stacks 7
Followers 197	Followers 5
Votes 8	Votes 0
Pros & Cons
Pros 2 Replication 1 Written in C++ 1 High availability 1 High performance 1 Distributed	No community feedback yet
Integrations
KairosDB Wireshark JanusGraph Grafana Hackolade Prometheus Kubernetes Datadog Kafka Apache Spark	PostgreSQL MySQL Microsoft SQL Server

What are some alternatives to ScyllaDB, ApsaraDB?

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.