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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. BigchainDB vs. GridGain vs. VictoriaMetrics

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. BigchainDB vs. GridGain vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeKey-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbwww.bigchaindb.comwww.gridgain.comvictoriametrics.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperAmazonAmazonGridGain Systems, Inc.VictoriaMetrics
Initial release20172007201620072018
Current releaseGridGain 8.5.1v1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL v3commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava, C++, .NetGo
Server operating systemshostedhostedLinuxLinux
OS X
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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.nonoyesno
Secondary indexesnoyes infoAll columns are indexed automaticallyyes
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APICLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesselectable replication factoryes (replicated cache)Synchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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 roles can be defined via the AWS Identity and Access Management (IAM)yesSecurity Hooks for custom implementations

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More resources
Amazon NeptuneAmazon SimpleDBBigchainDBGridGainVictoriaMetrics
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