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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Bangdb vs. EXASOL vs. SiteWhere

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Bangdb vs. EXASOL vs. SiteWhere

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBangdb  Xexclude from comparisonEXASOL  Xexclude from comparisonSiteWhere  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 networksConverged and high performance database for device data, events, time series, document and graphHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.M2M integration platform for persisting/querying time series data
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorybangdb.comwww.exasol.comgithub.com/­sitewhere/­sitewhere
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comwww.exasol.com/­resourcessitewhere1.sitewhere.io/­index.html
DeveloperAmazonAtos Convergence CreatorsSachin Sinha, BangDBExasolSiteWhere
Initial release20172016201220002010
Current release1703BangDB 2.0, October 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3commercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesoptionalyes: string, long, double, int, geospatial, stream, eventsyesyes
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.noyesnonono
Secondary indexesnoyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLnonoSQL like support with command line toolyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPProprietary protocol
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
HTTP REST
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Java
Python
Java
Lua
Python
R
Server-side scripts infoStored proceduresnononouser defined functions
Triggersnoyesyes, Notifications (with Streaming only)yes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on HBase
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 factor, Knob for CAP (enterprise version only)selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes, implements WAL (Write ahead log) as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationyes (enterprise version only)Access rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept

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More resources
Amazon NeptuneAtos Standard Common RepositoryBangdbEXASOLSiteWhere
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