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DBMS > Bangdb vs. Hypertable vs. Netezza vs. Prometheus vs. RavenDB

System Properties Comparison Bangdb vs. Hypertable vs. Netezza vs. Prometheus vs. RavenDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphAn open source BigTable implementation based on distributed file systems such as HadoopData warehouse and analytics appliance part of IBM PureSystemsOpen-source Time Series DBMS and monitoring systemOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Wide column storeRelational DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitebangdb.comwww.ibm.com/­products/­netezzaprometheus.ioravendb.net
Technical documentationdocs.bangdb.comprometheus.io/­docsravendb.net/­docs
DeveloperSachin Sinha, BangDBHypertable Inc.IBMHibernating Rhinos
Initial release20122009200020152010
Current releaseBangDB 2.0, October 20210.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++GoC#
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in applianceLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesNumeric data onlyno
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.nono infoImport of XML data possible
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLSQL like support with command line toolnoyesnoSQL-like query language (RQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
C++ API
Thrift
JDBC
ODBC
OLE DB
RESTful HTTP/JSON API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
C++
Java
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnoyes
Triggersyes, Notifications (with Streaming only)nononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor on file system levelSource-replica replicationyes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencynoneDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes
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 controlyes (enterprise version only)noUsers with fine-grained authorization conceptnoAuthorization levels configured per client per database

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More resources
BangdbHypertableNetezza infoAlso called PureData System for Analytics by IBMPrometheusRavenDB
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