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DBMS > GridGain vs. LevelDB vs. Manticore Search vs. MonetDB

System Properties Comparison GridGain vs. LevelDB vs. Manticore Search vs. MonetDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-storage database for search, including full-text search.A relational database management system that stores data in columns
Primary database modelKey-value store
Relational DBMS
Key-value storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitewww.gridgain.comgithub.com/­google/­leveldbmanticoresearch.comwww.monetdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comwww.monetdb.org/­Documentation
DeveloperGridGain Systems, Inc.GoogleManticore SoftwareMonetDB BV
Initial release2007201120172004
Current releaseGridGain 8.5.11.23, February 20216.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoGPL version 2Open Source infoMozilla Public 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 languageJava, C++, .NetC++C++C
Server operating systemsLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeFixed schemayes
Typing infopredefined data types such as float or dateyesnoInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yesnoCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsyes, in SQL, C, R
Triggersyes (cache interceptors and events)nonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes 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.yes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonofine grained access rights according to SQL-standard

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More resources
GridGainLevelDBManticore SearchMonetDB
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