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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. RRDtool vs. SwayDB vs. TigerGraph

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. RRDtool vs. SwayDB vs. TigerGraph

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonRRDtool  Xexclude from comparisonSwayDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Time Series DBMSKey-value storeGraph 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
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositoryoss.oetiker.ch/­rrdtoolswaydb.simer.auwww.tigergraph.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesoss.oetiker.ch/­rrdtool/­docdocs.tigergraph.com
DeveloperAmazonAtos Convergence CreatorsTobias OetikerSimer Plaha
Initial release20172016199920182017
Current release17031.8.0, 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSSOpen Source infoGNU Affero GPL V3.0commercial
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 infoImplementations in Java (e.g. RRD4J) and C# availableScalaC++
Server operating systemshostedLinuxHP-UX
Linux
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalNumeric data onlynoyes
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.noyesno infoExporting into and restoring from XML files possiblenono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonononoSQL-like query language (GSQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPin-process shared library
Pipes
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Java
Kotlin
Scala
C++
Java
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnonenone
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.yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoAtomic execution of operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationnonoRole-based access control

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More resources
Amazon NeptuneAtos Standard Common RepositoryRRDtoolSwayDBTigerGraph
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