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DBMS > Datomic vs. HarperDB vs. RethinkDB vs. Yaacomo

System Properties Comparison Datomic vs. HarperDB vs. RethinkDB vs. Yaacomo

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.DBMS for the Web with a mechanism to push updated query results to applications in realtime.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.datomic.comwww.harperdb.iorethinkdb.comyaacomo.com
Technical documentationdocs.datomic.comdocs.harperdb.io/­docsrethinkdb.com/­docs
DeveloperCognitectHarperDBThe Linux Foundation infosince July 2017Q2WEB GmbH
Initial release2012201720092009
Current release1.0.6735, June 20233.1, August 20212.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community edition availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureNode.jsC++
Server operating systemsAll OS with a Java VMLinux
OS X
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesdynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes infostring, binary, float, bool, date, geometryyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsnoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Supported programming languagesClojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction FunctionsCustom Functions infosince release 3.1
TriggersBy using transaction functionsnoClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusterSharding inforange basedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDByesyes
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 developmentyesnoyes
User concepts infoAccess controlnoAccess rights for users and rolesyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
DatomicHarperDBRethinkDBYaacomo
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