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DBMS > Amazon SimpleDB vs. Apache Druid vs. Sphinx vs. XTDB

System Properties Comparison Amazon SimpleDB vs. Apache Druid vs. Sphinx vs. XTDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Druid  Xexclude from comparisonSphinx  Xexclude from comparisonXTDB infoformerly named Crux  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 dataOpen source search engine for searching in data from different sources, e.g. relational databasesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Search engineDocument 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
Score5.95
Rank#55  Overall
#5  Search engines
Score0.18
Rank#332  Overall
#46  Document stores
Websiteaws.amazon.com/­simpledbdruid.apache.orgsphinxsearch.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.aws.amazon.com/­simpledbdruid.apache.org/­docs/­latest/­designsphinxsearch.com/­docswww.xtdb.com/­docs
DeveloperAmazonApache Software Foundation and contributorsSphinx Technologies Inc.Juxt Ltd.
Initial release2007201220012019
Current release29.0.1, April 20243.5.1, February 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoGPL version 2, commercial licence availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Clojure
Server operating systemshostedLinux
OS X
Unix
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or datenoyesnoyes, extensible-data-notation format
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 indexesyes infoAll columns are indexed automaticallyyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL for queryingSQL-like query language (SphinxQL)limited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIJDBC
RESTful HTTP/JSON API
Proprietary protocolHTTP REST
JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Clojure
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infomanual/auto, time-basedSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage enginesnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
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 systemno

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More resources
Amazon SimpleDBApache DruidSphinxXTDB infoformerly named Crux
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