Scylla vs SQLite: What are the differences?
Scylla: Next Generation Cassandra. Real-time big data database, with scale-up performance of 1,000,000 IOPS per node, scale-out to 100s of nodes and 99 latency of less than 1 msec; SQLite: A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine. 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.
Scylla and SQLite can be categorized as "Databases" tools.
Scylla is an open source tool with 5.18K GitHub stars and 615 GitHub forks. Here's a link to Scylla's open source repository on GitHub.
Typeform, Intuit, and Accenture are some of the popular companies that use SQLite, whereas Scylla is used by Investing.com, Dstillery, and Yieldbot. SQLite has a broader approval, being mentioned in 314 company stacks & 478 developers stacks; compared to Scylla, which is listed in 11 company stacks and 5 developer stacks.
What is Scylla?
What is SQLite?
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SQLite is a tricky beast. It's great if you're working single-threaded, but a Terrible Idea if you've got more than one concurrent connection. You use it because it's easy to setup, light, and portable (it's just a file).
In Paperless, we've built a self-hosted web application, so it makes sense to standardise on something small & light, and as we don't have to worry about multiple connections (it's just you using the app), it's a perfect fit.
For users wanting to scale Paperless up to a multi-user environment though, we do provide the hooks to switch to PostgreSQL .
ScyllaDB provides all of the goodies of Apache Cassandra, including HA, multiDC, replication sharding and so forth. The implementation is in C++ and the internal design is better and thus it achieves 10X the throughput, low 99% latency and more
Used during the "build process" of Coolfront Mobile's Flat rate search engine database. Flat rate data that resides in Salesforce is transformed using SQLite into a format that is usable for our mobile Flat rate search engine (AKA: Charlie).
RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.
All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.
Все динамические данные (вакансии) хранятся в простой SQLite БД.