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DBMS > Hypertable vs. Netezza vs. Prometheus vs. RavenDB vs. Transwarp StellarDB

System Properties Comparison Hypertable vs. Netezza vs. Prometheus vs. RavenDB vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPrometheus  Xexclude from comparisonRavenDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn 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 DatabaseA distributed graph DBMS built for enterprise-level graph applications
Primary database modelWide column storeRelational DBMSTime Series DBMSDocument storeGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.00
Rank#383  Overall
#39  Graph DBMS
Websitewww.ibm.com/­products/­netezzaprometheus.ioravendb.netwww.transwarp.cn/­en/­product/­stellardb
Technical documentationprometheus.io/­docsravendb.net/­docs
DeveloperHypertable Inc.IBMHibernating RhinosTranswarp
Initial release2009200020152010
Current release0.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoincluded in applianceLinux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesNumeric 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.no infoImport of XML data possible
Secondary indexesrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLnoyesnoSQL-like query language (RQL)SQL-like query language
APIs and other access methodsC++ 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
OpenCypher
Supported programming languagesC++
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 proceduresnoyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationyes infoby FederationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoUsers with fine-grained authorization conceptnoAuthorization levels configured per client per databaseyes

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More resources
HypertableNetezza infoAlso called PureData System for Analytics by IBMPrometheusRavenDBTranswarp StellarDB
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