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DBMS > Amazon DocumentDB vs. Bangdb vs. DolphinDB vs. Drizzle vs. Hawkular Metrics

System Properties Comparison Amazon DocumentDB vs. Bangdb vs. DolphinDB vs. Drizzle vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonHawkular Metrics  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, scalable, highly available, and fully managed MongoDB-compatible database serviceConverged and high performance database for device data, events, time series, document and graphDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelDocument storeDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Websiteaws.amazon.com/­documentdbbangdb.comwww.dolphindb.comwww.hawkular.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bangdb.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperSachin Sinha, BangDBDolphinDB, IncDrizzle project, originally started by Brian AkerCommunity supported by Red Hat
Initial release20192012201820082014
Current releaseBangDB 2.0, October 2021v2.00.4, January 20227.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercial infofree community version availableOpen Source infoGNU GPLOpen Source infoApache 2.0
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++C++Java
Server operating systemshostedLinuxLinux
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesschema-free
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesno
SQL infoSupport of SQLnoSQL like support with command line toolSQL-like query languageyes infowith proprietary extensionsno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCHTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnono
Triggersnoyes, Notifications (with Streaming only)nono infohooks for callbacks inside the server can be used.yes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
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 rolesyes (enterprise version only)Administrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Amazon DocumentDBBangdbDolphinDBDrizzleHawkular Metrics
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