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DBMS > Apache Druid vs. Microsoft Azure AI Search vs. ObjectBox vs. Raima Database Manager vs. WakandaDB

System Properties Comparison Apache Druid vs. Microsoft Azure AI Search vs. ObjectBox vs. Raima Database Manager vs. WakandaDB

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSearch-as-a-service for web and mobile app developmentExtremely fast embedded database for small devices, IoT and MobileRDBMS with a small footprint, either embedded into an application or used as a database serverWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS
Time Series DBMS
Search engineObject oriented DBMSRelational DBMS
Time Series DBMS
Object oriented DBMS
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitedruid.apache.orgazure.microsoft.com/­en-us/­services/­searchobjectbox.ioraima.comwakanda.github.io
Technical documentationdruid.apache.org/­docs/­latest/­designlearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iodocs.raima.comwakanda.github.io/­doc
DeveloperApache Software Foundation and contributorsMicrosoftObjectBox LimitedRaima Inc.Wakanda SAS
Initial release20122015201719842012
Current release29.0.1, April 2024V115, June 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache License 2.0commercialOpen Source infoAGPLv3, extended 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 languageJavaC and C++CC++, JavaScript
Server operating systemsLinux
OS X
Unix
hostedAndroid
iOS
Linux
macOS
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono infoExporting/Importing of XML structures possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingnonoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIProprietary native APIADO.NET
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C
C++
Objective-C
PL/SQL
JavaScript
Server-side scripts infoStored proceduresnononoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoImplicit feature of the cloud servicenonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and serverSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.nononoyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes infousing Azure authenticationyesnoyes
More information provided by the system vendor
Apache DruidMicrosoft Azure AI SearchObjectBoxRaima Database Manager infoformerly named db_VistaWakandaDB
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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