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DBMS > Apache Druid vs. BigObject vs. Manticore Search vs. ObjectBox

System Properties Comparison Apache Druid vs. BigObject vs. Manticore Search vs. ObjectBox

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonBigObject  Xexclude from comparisonManticore Search  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for real-time computations and queriesMulti-storage database for search, including full-text search.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedSearch engineObject 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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitedruid.apache.orgbigobject.iomanticoresearch.comgithub.com/­objectbox
objectbox.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.bigobject.iomanual.manticoresearch.comdocs.objectbox.io
DeveloperApache Software Foundation and contributorsBigObject, Inc.Manticore SoftwareObjectBox Limited
Initial release2012201520172017
Current release29.0.1, April 20246.0, February 20234.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availableOpen Source infoGPL version 2Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemsLinux
OS X
Unix
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
macOS
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyes infoschema-less columns are supportedyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes, 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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
fluentd
ODBC
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary native API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnoLuauser defined functionsno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneSynchronous replication based on Galera libraryData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoyes
More information provided by the system vendor
Apache DruidBigObjectManticore SearchObjectBox
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More resources
Apache DruidBigObjectManticore SearchObjectBox
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