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DBMS > Hypertable vs. Machbase Neo vs. Microsoft Azure AI Search vs. Netezza vs. RavenDB

System Properties Comparison Hypertable vs. Machbase Neo vs. Microsoft Azure AI Search vs. Netezza vs. RavenDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRavenDB  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 HadoopTimeSeries DBMS for AIoT and BigDataSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystemsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelWide column storeTime Series DBMSSearch engineRelational DBMSDocument store
Secondary database modelsVector DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitemachbase.comazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezzaravendb.net
Technical documentationmachbase.com/­dbmslearn.microsoft.com/­en-us/­azure/­searchravendb.net/­docs
DeveloperHypertable Inc.MachbaseMicrosoftIBMHibernating Rhinos
Initial release20092013201520002010
Current release0.9.8.11, March 2016V8.0, August 2023V15.4, July 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree test version availablecommercialcommercialOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC#
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
hostedLinux infoincluded in applianceLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyesSQL-like query language (RQL)
APIs and other access methodsC++ API
Thrift
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP APIJDBC
ODBC
OLE DB
.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++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable replication factoryes infoImplicit feature of the cloud serviceSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault 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 datanononoACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableno
User concepts infoAccess controlnosimple password-based access controlyes infousing Azure authenticationUsers with fine-grained authorization conceptAuthorization levels configured per client per database

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More resources
HypertableMachbase Neo infoFormer name was InfinifluxMicrosoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBMRavenDB
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