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DBMS > Amazon SimpleDB vs. Hazelcast vs. Teradata Aster vs. TigerGraph vs. Vitess

System Properties Comparison Amazon SimpleDB vs. Hazelcast vs. Teradata Aster vs. TigerGraph vs. Vitess

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHazelcast  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonVitess  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 widely adopted in-memory data gridPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeKey-value storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbhazelcast.comwww.tigergraph.comvitess.io
Technical documentationdocs.aws.amazon.com/­simpledbhazelcast.org/­imdg/­docsdocs.tigergraph.comvitess.io/­docs
DeveloperAmazonHazelcastTeradataThe Linux Foundation, PlanetScale
Initial release20072008200520172013
Current release5.3.6, November 202315.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infoApache Version 2.0, commercial licenses 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 languageJavaC++Go
Server operating systemshostedAll OS with a Java VMLinuxLinuxDocker
Linux
macOS
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.yes infothe object must implement a serialization strategyyes infoin Aster File Storeno
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language (GSQL)yes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Python
R
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesR packagesyesyes infoproprietary syntax
Triggersnoyes infoEventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes 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 methodsnoyesyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationone or two-phase-commit; repeatable reads; read commitedACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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.yesnonoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBHazelcastTeradata AsterTigerGraphVitess
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