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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. Apache Druid vs. Apache Kylin vs. LevelDB

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. Apache Druid vs. Apache Kylin vs. LevelDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Kylin  Xexclude from comparisonLevelDB  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 ScioreScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographdruid.apache.orgkylin.apache.orggithub.com/­google/­leveldb
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAmazonCambridge SemanticsApache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay IncGoogle
Initial release20072018201220152011
Current release2.3, January 202129.0.1, April 20243.1.0, July 20201.23, February 2021
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoBSD
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++
Server operating systemshostedLinuxLinux
OS X
Unix
LinuxIllumos
Linux
OS X
Windows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 automaticallynoyesyesno
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno

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More resources
Amazon SimpleDBAnzoGraph DBApache DruidApache KylinLevelDB
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