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DBMS > Datomic vs. FoundationDB vs. Hypertable vs. IRONdb vs. PieCloudDB

System Properties Comparison Datomic vs. FoundationDB vs. Hypertable vs. IRONdb vs. PieCloudDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFoundationDB  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonPieCloudDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.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 durabilityOrdered key-value store. Core features are complimented by layers.An 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 cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
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
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.25
Rank#304  Overall
#138  Relational DBMS
Websitewww.datomic.comgithub.com/­apple/­foundationdbwww.circonus.com/solutions/time-series-database/www.openpie.com
Technical documentationdocs.datomic.comapple.github.io/­foundationdbdocs.circonus.com/irondb/category/getting-started
DeveloperCognitectFoundationDBHypertable Inc.Circonus LLC.OpenPie
Initial release2012201320092017
Current release1.0.6735, June 20236.2.28, November 20200.9.8.11, March 2016V0.10.20, January 20182.1, January 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++C and C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linuxhosted
Data schemeyesschema-free infosome layers support schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingnoyes 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
Secondary indexesyesnorestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsRESTful HTTP APIC++ API
Thrift
HTTP APICLI Client
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
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
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsin SQL-layer onlynoyes, in Luauser defined functions
TriggersBy using transaction functionsnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingAutomatic, metric affinity per nodeyes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesselectable replication factor on file system levelconfigurable replication factor, datacenter awareyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 developmentno
User concepts infoAccess controlnonononoUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
DatomicFoundationDBHypertableIRONdbPieCloudDB
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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DatomicFoundationDBHypertableIRONdbPieCloudDB
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