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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonDrizzle  Xexclude from comparisonEhcache  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 cloudConverged 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.A widely adopted Java cache with tiered storage optionsEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Websiteaws.amazon.com/­neptunebangdb.comwww.ehcache.orgwww.esgyn.cn
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.comwww.ehcache.org/­documentation
DeveloperAmazonSachin Sinha, BangDBDrizzle project, originally started by Brian AkerTerracotta Inc, owned by Software AGEsgyn
Initial release20172012200820092015
Current releaseBangDB 2.0, October 20217.2.4, September 20123.10.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses 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++C++JavaC++, Java
Server operating systemshostedLinuxFreeBSD
Linux
OS X
All OS with a Java VMLinux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: 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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLnoSQL like support with command line toolyes infowith proprietary extensionsnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
JDBCJCacheADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
C
C++
Java
PHP
JavaAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnonononoJava Stored Procedures
Triggersnoyes, Notifications (with Streaming only)no infohooks for callbacks inside the server can be used.yes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoby using Terracotta ServerSharding
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.selectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
yes infoby using Terracotta ServerMulti-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 ConsistencyTunable consistency, set CAP knob accordinglyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes infosupports JTA and can work as an XA resourceACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, implements WAL (Write ahead log) as wellyesyes infousing a tiered cache-storage approachyes
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 modeyesno
User concepts infoAccess controlAccess 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, HTTPnofine grained access rights according to SQL-standard

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More resources
Amazon NeptuneBangdbDrizzleEhcacheEsgynDB
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