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DBMS > IRONdb vs. Oracle Rdb vs. RocksDB vs. ScyllaDB

System Properties Comparison IRONdb vs. Oracle Rdb vs. RocksDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRocksDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Cassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSRelational DBMSKey-value storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Score4.15
Rank#69  Overall
#5  Wide column stores
Websitewww.circonus.com/solutions/time-series-database/www.oracle.com/­database/­technologies/­related/­rdb.htmlrocksdb.orgwww.scylladb.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlgithub.com/­facebook/­rocksdb/­wikidocs.scylladb.com
DeveloperCirconus LLC.Oracle, originally developed by Digital Equipment Corporation (DEC)Facebook, Inc.ScyllaDB
Initial release2017198420132015
Current releaseV0.10.20, January 20187.4.1.1, 20219.4.0, June 2024ScyllaDB Open Source 6.0.2, July 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license 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++C++C++
Server operating systemsLinuxHP Open VMSLinuxLinux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesnoyes
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.nononono
Secondary indexesnoyesnoyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesnoSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP APIC++ API
Java API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
Perl
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
Server-side scripts infoStored proceduresyes, in Luanoyes, Lua
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeyesno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyesyes infoin-memory tables
User concepts infoAccess controlnonoAccess rights for users can be defined per object
More information provided by the system vendor
IRONdbOracle RdbRocksDBScyllaDB
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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IRONdbOracle RdbRocksDBScyllaDB
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