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DBMS > Amazon SimpleDB vs. Apache Druid vs. Hawkular Metrics vs. JaguarDB vs. TerarkDB

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. Hawkular Metrics vs. JaguarDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonJaguarDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Performant, highly scalable DBMS for AI and IoT applicationsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store
Vector DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteaws.amazon.com/­simpledbdruid.apache.orgwww.hawkular.orgwww.jaguardb.comgithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.jaguardb.com/­support.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonApache Software Foundation and contributorsCommunity supported by Red HatDataJaguar, Inc.ByteDance, originally Terark
Initial release20072012201420152016
Current release29.0.1, April 20243.3 July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoGPL V3.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++ infothe server part. Clients available in other languagesC++
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
Windows
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesyes infoAll columns are indexed automaticallyyesnoyesno
SQL infoSupport of SQLnoSQL for queryingnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersno
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
HTTP RESTJDBC
ODBC
C++ API
Java API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresnonononono
Triggersnonoyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandraMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)RBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnorights management via user accountsno

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More resources
Amazon SimpleDBApache DruidHawkular MetricsJaguarDBTerarkDB
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