DBMS > Firebird vs. ScyllaDB
System Properties Comparison Firebird vs. ScyllaDB
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|Editorial information provided by DB-Engines|
|Name||Firebird Xexclude from comparison||ScyllaDB Xexclude from comparison|
|Description||Firebird is an open source RDBMS forked from Borland's InterBase||Cassandra and DynamoDB compatible wide column store|
|Primary database model||Relational DBMS||Wide column store|
|Secondary database models||Key-value store|
|Initial release||2000 As fork of Borland's InterBase||2015|
|Current release||4.0.2, August 2022||ScyllaDB Open Source 5.0, July 2022|
|License Commercial or Open Source||Open Source Initial Developer's Public License||Open Source Open Source (AGPL), commercial license available|
|Cloud-based only Only available as a cloud service||no||no|
|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|
|Implementation language||C and C++||C++|
|Server operating systems||AIX|
server-less Firebird Embedded Server
|Typing predefined data types such as float or date||yes||yes|
|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.||no|
|Secondary indexes||yes||yes cluster global secondary indices|
|SQL Support of SQL||yes||SQL-like DML and DDL statements (CQL)|
|APIs and other access methods||ADO.NET|
|Proprietary protocol (CQL) compatible with CQL (Cassandra Query Language, an SQL-like language)|
RESTful HTTP API (DynamoDB compatible)
|Supported programming languages||C|
|Server-side scripts Stored procedures||PSQL||yes, Lua|
|Partitioning methods Methods for storing different data on different nodes||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||selectable replication factor Representation of geographical distribution of servers is possible|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Tunable Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no Atomicity and isolation are supported for single operations|
|Concurrency Support for concurrent manipulation of data||yes Features a multi-generational MVCC architecture, readers do not block writers||yes|
|Durability Support for making data persistent||yes||yes|
|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||Users with fine-grained authorization concept||Access rights for users can be defined per object|
|More information provided by the system vendor|
|Specific characteristics||ScyllaDB is the database for data-intensive apps that require high performance and...|
|Competitive advantages||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...|
|Key customers||Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...|
|Market metrics||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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