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DBMS > Datomic vs. Ingres vs. IRONdb vs. ReductStore vs. RocksDB

System Properties Comparison Datomic vs. Ingres vs. IRONdb vs. ReductStore vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonReductStore  Xexclude from comparisonRocksDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score3.63
Rank#79  Overall
#43  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitewww.datomic.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/github.com/­reductstore
www.reduct.store
rocksdb.org
Technical documentationdocs.datomic.comdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedwww.reduct.store/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectActian CorporationCirconus LLC.ReductStore LLCFacebook, Inc.
Initial release20121974 infooriginally developed at University Berkely in early 1970s201720232013
Current release1.0.7180, July 202412.0, July 2024V0.10.20, January 20181.9, March 20249.4.0, June 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoBusiness Source License 1.1Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureCC and C++C++, RustC++
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxDocker
Linux
macOS
Windows
Linux
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsno
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.nono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIHTTP APIC++ API
Java API
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
JavaScript (Node.js)
Python
Rust
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes, in Luano
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersIngres Replicatorconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardnono

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More resources
DatomicIngresIRONdbReductStoreRocksDB
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