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DBMS > Apache Druid vs. Datomic vs. HarperDB vs. SQL.JS

System Properties Comparison Apache Druid vs. Datomic vs. HarperDB vs. SQL.JS

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatomic 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.Port of SQLite to JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitedruid.apache.orgwww.datomic.comwww.harperdb.iosql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comdocs.harperdb.io/­docssql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsCognitectHarperDBAlon Zakai infoenhancements implemented by others
Initial release2012201220172012
Current release29.0.1, April 20241.0.7075, December 20233.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freecommercial infofree community edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureNode.jsJavaScript
Server operating systemsLinux
OS X
Unix
All OS with a Java VMLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL for queryingnoSQL-like data manipulation statementsyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
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
JavaScript
Server-side scripts infoStored proceduresnoyes infoTransaction FunctionsCustom Functions infosince release 3.1no
TriggersnoBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDBno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoAccess rights for users and rolesno

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More resources
Apache DruidDatomicHarperDBSQL.JS
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