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

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

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridEmbeddable 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 storeKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS infousing the Manticore Columnar LibraryDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
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
Websitehazelcast.comgithub.com/­google/­leveldbmanticoresearch.comwww.monetdb.org
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdmanual.manticoresearch.comwww.monetdb.org/­Documentation
DeveloperHazelcastGoogleManticore SoftwareMonetDB BV
Initial release2008201120172004
Current release5.3.6, November 20231.23, February 20216.0, February 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen 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 languageJavaC++C++C
Server operating systemsAll OS with a Java VMIllumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-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.yes infothe object must implement a serialization strategynoCan index from XML
Secondary indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infoSQL 2003 with some extensions
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
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 languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
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 infoEvent Listeners, Executor Servicesnouser defined functionsyes, in SQL, C, R
Triggersyes infoEventsnonoyes
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 infoReplicated MapnoneSynchronous replication based on Galera librarynone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoyes 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 controlRole-based access controlnonofine grained access rights according to SQL-standard

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More resources
HazelcastLevelDBManticore SearchMonetDB
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