DB-EnginesExtremeDB: the hard real time dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

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

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

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameDatomic  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.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn 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 DBMSWide column storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#138  Overall
#68  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Score0.24
Rank#282  Overall
#132  Relational DBMS
Websitewww.datomic.comwww.circonus.com/­solutions/­time-series-databasekyligence.io/­kyligence-enterprise
Technical documentationdocs.datomic.comdocs.circonus.com/­irondb
DeveloperCognitectHypertable Inc.Circonus LLC.Kyligence, Inc.
Initial release2012200920172016
Current release1.0.6362, January 20220.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
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.
Implementation languageJava, ClojureC++C and C++Java
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes 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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)ANSI SQL for queries (using Apache Calcite)
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
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 Functionsnoyes, in Lua
TriggersBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelconfigurable replication factor, datacenter aware
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 nodesImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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 controlnonono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DatomicHypertableIRONdbKyligence Enterprise
Recent citations in the news

The Datomic Information Model
1 February 2013, InfoQ.com

The Architecture of Datomic
2 November 2012, InfoQ.com

Rich Hickey on Datomic: Datalog, Databases, Persistent Data Structures
4 April 2012, InfoQ.com

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
16 August 2021, InfoQ.com

Rich Hickey on Datomic, CAP and ACID
21 January 2013, InfoQ.com

provided by Google News

NoSQL Market Share, Size, Trends, Leading Companies, Growth, Opportunities and Forecast 2022-2027
29 April 2022, EIN News

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

NoSQL Databases | When to Use NoSQL vs SQL
19 January 2022, Server Watch

provided by Google News

Circonus Simplifies Monitoring & Observability for Large Enterprises
11 May 2022, PR Newswire

provided by Google News

Kyligence Recognized on CRN's Big Data 100 List for 2022
9 May 2022, GlobeNewswire

Kyligence Launches Managed Services Offering for its Cloud Data Analytics Solutions
24 March 2022, MarTech Series

Kyligence's Intelligent Data Cloud Platform Now Available on Google Cloud
15 February 2022, GlobeNewswire

The insideBIGDATA IMPACT 50 List for Q2 2022
27 April 2022, insideBIGDATA

Kyligence CEO Identifies Big Data, Cloud, AI and Data Analytics Predictions for 2022
16 December 2021, GlobeNewswire

provided by Google News

Job opportunities

Sr. Backend Engineer .NET (REMOTE)
Railsbank, Houston, TX

Data Scientist
Analytical Flavor Systems, Inc, Remote

Senior Business Intelligence Developer
IQuasar, Washington, DC

Site Reliability Engineer
Major League Baseball, New York, NY

Senior Site Reliability Engineer
Major League Baseball, New York, NY

Director of Growth Marketing
Kyligence, United States

Marketing Specialist
Kyligence, United States

Professional Services Engineer
Kyligence, United States

Software Engineer
Kyligence, United States

Technical Evangelist
Kyligence, United States

jobs by Indeed



Share this page

Featured Products

Redis logo

The world’s most loved real‑time data platform.
Try free

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here