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  1. Stackups
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  4. Databases
  5. Scylla vs ZeroDB

Scylla vs ZeroDB

OverviewDecisionsComparisonAlternatives

Overview

ZeroDB
ZeroDB
Stacks4
Followers25
Votes1
ScyllaDB
ScyllaDB
Stacks143
Followers197
Votes8

Scylla vs ZeroDB: What are the differences?

# Introduction

Scylla and ZeroDB are two distinct technologies in the realm of databases and secure data storage. Here are the key differences between Scylla and ZeroDB:

1. **Data Encryption**: Scylla focuses on providing a scalable and highly available distributed database solution, while ZeroDB specializes in securing data at the application level using end-to-end encryption with zero knowledge of the data content by the server.
 
2. **Data Querying**: Scylla offers high performance and low latency for data queries through its distributed architecture optimized for real-time workloads, while ZeroDB operates on encrypted data, limiting the querying capabilities and making it more suitable for scenarios where data privacy is a top priority.

3. **Data Storage**: Scylla uses a distributed architecture to store data across multiple nodes for redundancy and fault tolerance, ensuring high availability, while ZeroDB employs a decentralized approach where each user controls their encrypted data, reducing the risk of centralized data breaches.

4. **Scalability**: Scylla is designed to scale horizontally by adding more nodes to handle increased workloads seamlessly, making it suitable for growing data-intensive applications, whereas ZeroDB's approach does not support traditional horizontal scaling due to its focus on data security and privacy.

5. **Database Management**: Scylla provides robust monitoring and management tools for administrators to optimize database performance and troubleshoot issues efficiently, while ZeroDB places more control in the hands of individual users to manage their encrypted data, reducing the need for centralized database management.

6. **Use Cases**: Scylla is commonly used in large-scale applications requiring high throughput and low latency, such as IoT data processing or real-time analytics, whereas ZeroDB is preferred for preserving data privacy in scenarios like personal health records, financial transactions, or confidential communications.

In Summary, Scylla and ZeroDB differ significantly in their approach to data storage, security, scalability, and management, catering to distinct use cases within the realm of databases and secure data handling.

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Advice on ZeroDB, 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

ZeroDB
ZeroDB
ScyllaDB
ScyllaDB

ZeroDB enables clients to run queries over encrypted databases without exposing decrypted data to the server and without a proxy gateway. Data at rest and in use is secure - the cloud is no longer a single point of failure.

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.

End-to-End DB Encryption; Queries Over Encrypted Data; Direct Cloud Sharing
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
25
Followers
197
Votes
1
Votes
8
Pros & Cons
Pros
  • 1
    We're in financial services & secure DBs are critical
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 ZeroDB, 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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