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DBMS > Datomic vs. Firebolt vs. Hypertable vs. IRONdb vs. Splunk

System Properties Comparison Datomic vs. Firebolt vs. Hypertable vs. IRONdb vs. Splunk

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebolt  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonSplunk  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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 durabilityHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAnalytics Platform for Big Data
Primary database modelRelational DBMSRelational DBMSWide column storeTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.datomic.comwww.firebolt.iowww.circonus.com/solutions/time-series-database/www.splunk.com
Technical documentationdocs.datomic.comdocs.firebolt.iodocs.circonus.com/irondb/category/getting-starteddocs.splunk.com/­Documentation/­Splunk
DeveloperCognitectFirebolt Analytics Inc.Hypertable Inc.Circonus LLC.Splunk Inc.
Initial release20122020200920172003
Current release1.0.6735, June 20230.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C and C++
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histogramsyes
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 indexesyesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)no infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP API.Net
ODBC
RESTful HTTP API
C++ API
Thrift
HTTP APIHTTP REST
Supported programming languagesClojure
Java
Go
JavaScript (Node.js)
Python
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes, in Luayes
TriggersBy using transaction functionsnononoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersdepending on storage layerselectable replication factor on file system levelconfigurable replication factor, datacenter awareMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 developmentnono
User concepts infoAccess controlnononoAccess rights for users and roles

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More resources
DatomicFireboltHypertableIRONdbSplunk
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