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DBMS > Amazon Neptune vs. Amazon SimpleDB vs. Bangdb vs. Drizzle vs. EsgynDB

System Properties Comparison Amazon Neptune vs. Amazon SimpleDB vs. Bangdb vs. Drizzle vs. EsgynDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBangdb  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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 ScioreConverged and high performance database for device data, events, time series, document and graphMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelGraph DBMS
RDF store
Key-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational 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
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­neptuneaws.amazon.com/­simpledbbangdb.comwww.esgyn.cn
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.aws.amazon.com/­simpledbdocs.bangdb.com
DeveloperAmazonAmazonSachin Sinha, BangDBDrizzle project, originally started by Brian AkerEsgyn
Initial release20172007201220082015
Current releaseBangDB 2.0, October 20217.2.4, September 2012
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++, Java
Server operating systemshostedhostedLinuxFreeBSD
Linux
OS X
Linux
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes: 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.nonono
Secondary indexesnoyes infoAll columns are indexed automaticallyyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLnonoSQL like support with command line toolyes infowith proprietary extensionsyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP APIProprietary protocol
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonononoJava Stored Procedures
Triggersnonoyes, Notifications (with Streaming only)no infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesnonenone infoSharding must be implemented in the applicationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
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)Multi-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Tunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDACIDACID
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.yes, run db with in-memory only modeno
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)yes (enterprise version only)Pluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneAmazon SimpleDBBangdbDrizzleEsgynDB
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