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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. Apache Impala vs. GeoMesa vs. STSdb

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. Apache Impala vs. GeoMesa vs. STSdb

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonGeoMesa  Xexclude from comparisonSTSdb  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 virtualizationAnalytic DBMS for HadoopGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSSpatial DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographimpala.apache.orgwww.geomesa.orggithub.com/­STSSoft/­STSdb4
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlwww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperAmazonCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaCCRi and othersSTS Soft SC
Initial release20072018201320142011
Current release2.3, January 20214.1.0, June 20224.0.5, February 20244.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache License 2.0Open Source infoGPLv2, commercial license 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 languageC++ScalaC#
Server operating systemshostedLinuxLinuxWindows
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infoprimitive types and user defined types (classes)
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallynoyesyesno
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
All languages supporting JDBC/ODBCC#
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesyes infouser defined functions and integration of map-reducenono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingShardingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-Clusterselectable replication factordepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency in MPP-ClusterEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynono infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnonono
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.yesnodepending on storage layer
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 rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes infodepending on the DBMS used for storageno

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More resources
Amazon SimpleDBAnzoGraph DBApache ImpalaGeoMesaSTSdb
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