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DBMS > BigObject vs. Elasticsearch vs. Microsoft Azure AI Search vs. Netezza

System Properties Comparison BigObject vs. Elasticsearch vs. Microsoft Azure AI Search vs. Netezza

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricSearch-as-a-service for web and mobile app developmentData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedSearch engineSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score132.83
Rank#7  Overall
#1  Search engines
Score5.52
Rank#59  Overall
#6  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitebigobject.iowww.elastic.co/­elasticsearchazure.microsoft.com/­en-us/­services/­searchwww.ibm.com/­products/­netezza
Technical documentationdocs.bigobject.iowww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperBigObject, Inc.ElasticMicrosoftIBM
Initial release2015201020152000
Current release8.6, January 2023V1
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoElastic Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VMhostedLinux infoincluded in appliance
Data schemeyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIJDBC
ODBC
OLE DB
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresLuayesnoyes
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationno
User concepts infoAccess controlnoyes infousing Azure authenticationUsers with fine-grained authorization concept

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More resources
BigObjectElasticsearchMicrosoft Azure AI SearchNetezza infoAlso called PureData System for Analytics by IBM
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