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DBMS > Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. ObjectBox

System Properties Comparison Manticore Search vs. Microsoft Azure Synapse Analytics vs. Netezza vs. ObjectBox

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelSearch engineRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitemanticoresearch.comazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzagithub.com/­objectbox
objectbox.io
Technical documentationmanual.manticoresearch.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.objectbox.io
DeveloperManticore SoftwareMicrosoftIBMObjectBox Limited
Initial release2017201620002017
Current release6.0, February 20234.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoGPL version 2commercialcommercialBindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C and C++
Server operating systemsFreeBSD
Linux
macOS
Windows
hostedLinux infoincluded in applianceAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeFixed schemayesyesyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes, plus "flex" map-like types
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.Can index from XMLnono
Secondary indexesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Proprietary native API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresuser defined functionsTransact SQLyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesSource-replica replicationData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyesUsers with fine-grained authorization conceptyes
More information provided by the system vendor
Manticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMObjectBox
News

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29 May 2024

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23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

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More resources
Manticore SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMObjectBox
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