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DBMS > Amazon SimpleDB vs. Pinecone vs. Teradata Aster vs. VoltDB

System Properties Comparison Amazon SimpleDB vs. Pinecone vs. Teradata Aster vs. VoltDB

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonPinecone  Xexclude from comparisonTeradata Aster  Xexclude from comparisonVoltDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreA managed, cloud-native vector databasePlatform for big data analytics on multistructured data sources and typesDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeVector DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score1.38
Rank#156  Overall
#72  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.pinecone.iowww.voltdb.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.pinecone.io/­docs/­overviewdocs.voltdb.com
DeveloperAmazonPinecone Systems, IncTeradataVoltDB Inc.
Initial release2007201920052010
Current release11.3, April 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++
Server operating systemshostedhostedLinuxLinux
OS X infofor development
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or datenoString, Number, 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.noyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallyyesyes
SQL infoSupport of SQLnonoyesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIADO.NET
JDBC
ODBC
OLE DB
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
PythonC
C#
C++
Java
Python
R
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoR packagesJava
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
Amazon SimpleDBPineconeTeradata AsterVoltDB
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