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DBMS > Amazon SimpleDB vs. Bangdb vs. Dgraph vs. Splunk vs. Teradata Aster

System Properties Comparison Amazon SimpleDB vs. Bangdb vs. Dgraph vs. Splunk vs. Teradata Aster

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBangdb  Xexclude from comparisonDgraph  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata Aster  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 ScioreConverged and high performance database for device data, events, time series, document and graphDistributed and scalable native Graph DBMSAnalytics Platform for Big DataPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Graph DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­simpledbbangdb.comdgraph.iowww.splunk.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.bangdb.comdgraph.io/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonSachin Sinha, BangDBDgraph Labs, Inc.Splunk Inc.Teradata
Initial release20072012201620032005
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache 2.0commercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Go
Server operating systemshostedLinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.nonoyesyes infoin Aster File Store
Secondary indexesyes infoAll columns are indexed automaticallyyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLnoSQL like support with command line toolnono infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsRESTful HTTP APIProprietary protocol
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnononoyesR packages
Triggersnoyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication via RaftMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modenono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)no infoPlanned for future releasesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBBangdbDgraphSplunkTeradata Aster
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