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DBMS > Hypertable vs. Microsoft Azure AI Search vs. Raima Database Manager vs. Sphinx vs. Splice Machine

System Properties Comparison Hypertable vs. Microsoft Azure AI Search vs. Raima Database Manager vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  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 HadoopSearch-as-a-service for web and mobile app developmentRDBMS with a small footprint, either embedded into an application or used as a database serverOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeSearch engineRelational DBMS
Time Series DBMS
Search engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.75
Rank#58  Overall
#7  Search engines
Score0.40
Rank#268  Overall
#125  Relational DBMS
#21  Time Series DBMS
Score5.97
Rank#56  Overall
#5  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websiteazure.microsoft.com/­en-us/­services/­searchraima.comsphinxsearch.comsplicemachine.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchdocs.raima.comsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperHypertable Inc.MicrosoftRaima Inc.Sphinx Technologies Inc.Splice Machine
Initial release20092015198420012014
Current release0.9.8.11, March 2016V115, June 20213.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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 infoExporting/Importing of XML structures possible
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoyesSQL-like query language (SphinxQL)yes
APIs and other access methodsC++ API
Thrift
RESTful HTTP APIADO.NET
JDBC
ODBC
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C
C++
Objective-C
PL/SQL
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnoyes infoJava
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes infoImplicit feature of the cloud serviceSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoyes infousing Azure authenticationnonoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
HypertableMicrosoft Azure AI SearchRaima Database Manager infoformerly named db_VistaSphinxSplice Machine
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
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1 October 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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