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DBMS > Bangdb vs. Dgraph vs. DolphinDB vs. Netezza

System Properties Comparison Bangdb vs. Dgraph vs. DolphinDB vs. Netezza

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDgraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphDistributed and scalable native Graph DBMSDolphinDB 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.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebangdb.comdgraph.iowww.dolphindb.comwww.ibm.com/­products/­netezza
Technical documentationdocs.bangdb.comdgraph.io/­docsdocs.dolphindb.cn/­en/­help200/­index.html
DeveloperSachin Sinha, BangDBDgraph Labs, Inc.DolphinDB, IncIBM
Initial release2012201620182000
Current releaseBangDB 2.0, October 2021v2.00.4, January 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoC++
Server operating systemsLinuxLinux
OS X
Windows
Linux
Windows
Linux infoincluded in appliance
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: 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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoSQL-like query languageyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyesyes
Triggersyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmyeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Synchronous replication via RaftyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, 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 modeyes
User concepts infoAccess controlyes (enterprise version only)no infoPlanned for future releasesAdministrators, Users, GroupsUsers with fine-grained authorization concept

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More resources
BangdbDgraphDolphinDBNetezza infoAlso called PureData System for Analytics by IBM
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