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DBMS > Datomic vs. eXtremeDB vs. Hypertable vs. IRONdb vs. Kyligence Enterprise

System Properties Comparison Datomic vs. eXtremeDB vs. Hypertable vs. IRONdb vs. Kyligence Enterprise

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonKyligence Enterprise  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 durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringAn 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 simplicityA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Wide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websitewww.datomic.comwww.mcobject.comwww.circonus.com/solutions/time-series-database/kyligence.io/­kyligence-enterprise
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmdocs.circonus.com/irondb/category/getting-started
DeveloperCognitectMcObjectHypertable Inc.Circonus LLC.Kyligence, Inc.
Initial release20122001200920172016
Current release1.0.6735, June 20238.2, 20210.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
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, ClojureC and C++C++C and C++Java
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)ANSI SQL for queries (using Apache Calcite)
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
C++ API
Thrift
HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
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
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnoyes, in Lua
TriggersBy using transaction functionsyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor on file system levelconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesnono
User concepts infoAccess controlnonono
More information provided by the system vendor
DatomiceXtremeDBHypertableIRONdbKyligence Enterprise
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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DatomiceXtremeDBHypertableIRONdbKyligence Enterprise
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