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DBMS > Amazon DocumentDB vs. Apache Druid vs. HarperDB vs. jBASE

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. HarperDB vs. jBASE

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.A robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Document storeMultivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.55
Rank#243  Overall
#38  Document stores
Score1.36
Rank#157  Overall
#3  Multivalue DBMS
Websiteaws.amazon.com/­documentdbdruid.apache.orgwww.harperdb.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperApache Software Foundation and contributorsHarperDBRocket Software (formerly Zumasys)
Initial release2019201220171991
Current release30.0.0, June 20243.1, August 20215.7
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial infofree community edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.js
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
AIX
Linux
Windows
Data schemeschema-freeyes infoschema-less columns are supporteddynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesoptional
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.nononoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL for queryingSQL-like data manipulation statementsEmbedded SQL for jBASE in BASIC
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.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
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1yes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesAccess rights can be defined down to the item level

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More resources
Amazon DocumentDBApache DruidHarperDBjBASE
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