DBMS > ScyllaDB vs. SiriDB vs. SpatiaLite
System Properties Comparison ScyllaDB vs. SiriDB vs. SpatiaLite
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|Editorial information provided by DB-Engines
|ScyllaDB Xexclude from comparison
|SiriDB Xexclude from comparison
|SpatiaLite Xexclude from comparison
|Cassandra and DynamoDB compatible wide column store
|Open Source Time Series DBMS
|Spatial extension of SQLite
|Primary database model
|Wide column store
|Time Series DBMS
|Secondary database models
|ScyllaDB Open Source 5.4.1, January 2024
|5.0.0, August 2020
|License Commercial or Open Source
|Open Source Open Source (AGPL), commercial license available
|Open Source MIT License
|Open Source MPL 1.1, GPL v2.0 or LGPL v2.1
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
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|Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
|Server operating systems
|Typing predefined data types such as float or date
|yes Numeric data
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes cluster global secondary indices
|SQL Support of SQL
|SQL-like DML and DDL statements (CQL)
|APIs and other access methods
|Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
|Supported programming languages
|Server-side scripts Stored procedures
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|selectable replication factor Representation of geographical distribution of servers is possible
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|no Atomicity and isolation are supported for single operations
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes in-memory tables
|User concepts Access control
|Access rights for users can be defined per object
|simple rights management via user accounts
|More information provided by the system vendor
|ScyllaDB is the database for data-intensive apps that require high performance and...
|Highly-performant (efficiently utilizes full resources of a node and network; millions...
|Typical application scenarios
|ScyllaDB is ideal for applications that require high throughput and low latency at...
|Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
|ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
|Licensing and pricing models
|ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
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|DB-Engines blog posts
Spatial database management systems ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels Running ScyllaDB NoSQL on Kubernetes with Spot Instances Scylla review: Apache Cassandra supercharged Scylla vs Cassandra: Performance Comparison - DataScienceCentral.com ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services provided by Google News SiriDB tijdreeks database analyseert time series data vanuit elke bron provided by Google News
ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
Running ScyllaDB NoSQL on Kubernetes with Spot Instances
Scylla review: Apache Cassandra supercharged
Scylla vs Cassandra: Performance Comparison - DataScienceCentral.com
ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale | Amazon Web Services
provided by Google News
SiriDB tijdreeks database analyseert time series data vanuit elke bron
provided by Google News
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