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DBMS > Manticore Search vs. ObjectBox vs. Rockset vs. TimesTen

System Properties Comparison Manticore Search vs. ObjectBox vs. Rockset vs. TimesTen

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonObjectBox  Xexclude from comparisonRockset  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA scalable, reliable search and analytics service in the cloud, built on RocksDBIn-Memory RDBMS compatible to Oracle
Primary database modelSearch engineObject oriented DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#302  Overall
#21  Search engines
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websitemanticoresearch.comgithub.com/­objectbox
objectbox.io
rockset.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationmanual.manticoresearch.comdocs.objectbox.iodocs.rockset.comdocs.oracle.com/­database/­timesten-18.1
DeveloperManticore SoftwareObjectBox LimitedRocksetOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017201720191998
Current release6.0, February 20234.0 (May 2024)11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL version 2Bindings are released under Apache 2.0 infoApache License 2.0commercialcommercial
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 languageC++C and C++C++
Server operating systemsFreeBSD
Linux
macOS
Windows
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeFixed schemayesschema-freeyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes, plus "flex" map-like typesdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyes infofull-text index on all search fieldsyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries, including JOINsyes
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Proprietary native APIHTTP RESTJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnonoPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednoneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryData sync between devices allowing occasional connected databases to work completely offlineyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACIDnoACID
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 infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyesAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standard
More information provided by the system vendor
Manticore SearchObjectBoxRocksetTimesTen
News

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29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

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

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More resources
Manticore SearchObjectBoxRocksetTimesTen
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17 May 2024, Datanami

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