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DBMS > Amazon SimpleDB vs. AnzoGraph DB vs. Manticore Search vs. openGauss vs. Teradata

System Properties Comparison Amazon SimpleDB vs. AnzoGraph DB vs. Manticore Search vs. openGauss vs. Teradata

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonManticore Search  Xexclude from comparisonopenGauss  Xexclude from comparisonTeradata  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 virtualizationMulti-storage database for search, including full-text search.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeGraph DBMS
RDF store
Search engineRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
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
Score0.22
Rank#312  Overall
#21  Search engines
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websiteaws.amazon.com/­simpledbcambridgesemantics.com/­anzographmanticoresearch.comgitee.com/­opengauss
opengauss.org
www.teradata.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmmanual.manticoresearch.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.teradata.com
DeveloperAmazonCambridge SemanticsManticore SoftwareHuawei and openGauss communityTeradata
Initial release20072018201720191984
Current release2.3, January 20216.0, February 20233.0, March 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGPL version 2Open Sourcecommercial
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++C, C++, Java
Server operating systemshostedLinuxFreeBSD
Linux
macOS
Windows
Linuxhosted
Linux
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportFixed schemayesyes
Typing infopredefined data types such as float or datenoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.noCan index from XMLnoyes
Secondary indexesyes infoAll columns are indexed automaticallynoyes infofull-text index on all search fieldsyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query languageANSI SQL 2011yes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C++
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions and aggregatesuser defined functionsyesyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range, list and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in MPP-ClusterSynchronous replication based on Galera librarySource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnonono
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 Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
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 rolesnoAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBAnzoGraph DBManticore SearchopenGaussTeradata
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