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DBMS > Firebird vs. Heroic vs. ScyllaDB vs. Splunk

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

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHeroic  Xexclude from comparisonScyllaDB  Xexclude from comparisonSplunk  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 storeAnalytics Platform for Big Data
Primary database modelRelational DBMSTime Series DBMSWide column storeSearch engine
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.46
Rank#30  Overall
#18  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score4.15
Rank#69  Overall
#5  Wide column stores
Score93.02
Rank#13  Overall
#2  Search engines
Websitewww.firebirdsql.orggithub.com/­spotify/­heroicwww.scylladb.comwww.splunk.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsspotify.github.io/­heroicdocs.scylladb.comdocs.splunk.com/­Documentation/­Splunk
DeveloperFirebird FoundationSpotifyScyllaDBSplunk Inc.
Initial release2000 infoAs fork of Borland's InterBase201420152003
Current release5.0.1, August 2024ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache 2.0Open Source infoOpen Source (AGPL), commercial license availablecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyes
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 infoSplunk Search Processing Language for search commands
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
HTTP REST
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#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresPSQLnoyes, Luayes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
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
Eventual 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 operationsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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 objectAccess rights for users and roles
More information provided by the system vendor
FirebirdHeroicScyllaDBSplunk
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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FirebirdHeroicScyllaDBSplunk
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