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DBMS > GridDB vs. Manticore Search vs. RocksDB vs. Trino

System Properties Comparison GridDB vs. Manticore Search vs. RocksDB vs. Trino

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Editorial information provided by DB-Engines
NameGridDB  Xexclude from comparisonManticore Search  Xexclude from comparisonRocksDB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionScalable in-memory time series database optimized for IoT and Big DataMulti-storage database for search, including full-text search.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelTime Series DBMSSearch engineKey-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score2.84
Rank#97  Overall
#16  Key-value stores
Score5.28
Rank#61  Overall
#35  Relational DBMS
Websitegriddb.netmanticoresearch.comrocksdb.orgtrino.io
Technical documentationdocs.griddb.netmanual.manticoresearch.comgithub.com/­facebook/­rocksdb/­wikitrino.io/­broadcast
trino.io/­docs/­current
DeveloperToshiba CorporationManticore SoftwareFacebook, Inc.Trino Software Foundation
Initial release2013201720132012 info2020 rebranded from PrestoSQL
Current release5.1, August 20226.0, February 20239.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoGPL version 2Open Source infoBSDOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++Java
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
LinuxLinux
macOS infofor devlopment
Data schemeyesFixed schemaschema-freeyes
Typing infopredefined data types such as float or dateyes infonumerical, string, blob, geometry, boolean, timestampInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleannoyes
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.noCan index from XMLnono
Secondary indexesyesyes infofull-text index on all search fieldsnodepending on connected data-source
SQL infoSupport of SQLSQL92, SQL-like TQL (Toshiba Query Language)SQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
C++ API
Java API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnoyes, depending on connected data-source
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyesdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency within container, eventual consistency across containersdepending on connected data-source
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelyes infoisolated transactions for atomic changes and binary logging for safe writesyesdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenonoSQL standard access control
More information provided by the system vendor
GridDBManticore SearchRocksDBTrino
News

23 is a go, keeping pace with Java
17 September 2024

65: Performance boosts
12 September 2024

64: Control with Open Policy Agent OPA
22 August 2024

63: Querying with JS
1 August 2024

62: A lakehouse that simply works at Prezi
11 July 2024

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More resources
GridDBManticore SearchRocksDBTrino
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