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DBMS > Datomic vs. Hive vs. Informix vs. Riak KV

System Properties Comparison Datomic vs. Hive vs. Informix vs. Riak KV

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHive  Xexclude from comparisonInformix  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.datomic.comhive.apache.orgwww.ibm.com/­products/­informix
Technical documentationdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homeinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
www.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperCognitectApache Software Foundation infoinitially developed by FacebookIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.OpenSource, formerly Basho Technologies
Initial release2012201219842009
Current release1.0.6735, June 20233.1.3, April 202214.10.FC5, November 20203.2.0, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC, C++ and JavaErlang
Server operating systemsAll OS with a Java VMAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoSince Version 12.10 support for JSON/BSON datatypesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
C++
Java
PHP
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceyesErlang
TriggersBy using transaction functionsnoyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factorMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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 developmentyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesUsers with fine-grained authentication, authorization, and auditing controlsyes, using Riak Security

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DatomicHiveInformixRiak KV
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