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DBMS > Firebird vs. Heroic vs. ScyllaDB vs. searchxml

System Properties Comparison Firebird vs. Heroic vs. ScyllaDB vs. searchxml

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHeroic  Xexclude from comparisonScyllaDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchCassandra and DynamoDB compatible wide column storeDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSTime Series DBMSWide column storeNative XML DBMS
Search engine
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websitewww.firebirdsql.orggithub.com/­spotify/­heroicwww.scylladb.comwww.searchxml.net/­category/­products
Technical documentationwww.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroicdocs.scylladb.comwww.searchxml.net/­support/­handouts
DeveloperFirebird FoundationSpotifyScyllaDBinformationpartners gmbh
Initial release2000 infoAs fork of Borland's InterBase201420152015
Current release5.0.0, January 2024ScyllaDB Open Source 5.4.1, January 20241.0
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase 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 languageC and C++JavaC++C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxWindows
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesyesyes infovia Elasticsearchyes infocluster global secondary indicesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL)no
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPSQLnoyes, Luayes infoon the application server
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoAtomicity and isolation are supported for single operationsmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoin-memory tablesno
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users can be defined per objectDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
FirebirdHeroicScyllaDBsearchxml
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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FirebirdHeroicScyllaDBsearchxml
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