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DBMS > Hazelcast vs. MonetDB vs. Sqrrl vs. TerarkDB vs. Valentina Server

System Properties Comparison Hazelcast vs. MonetDB vs. Sqrrl vs. TerarkDB vs. Valentina Server

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMonetDB  Xexclude from comparisonSqrrl  Xexclude from comparisonTerarkDB  Xexclude from comparisonValentina Server  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridA relational database management system that stores data in columnsAdaptable, secure NoSQL built on Apache AccumuloA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitehazelcast.comwww.monetdb.orgsqrrl.comgithub.com/­bytedance/­terarkdbwww.valentina-db.net
Technical documentationhazelcast.org/­imdg/­docswww.monetdb.org/­Documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperHazelcastMonetDB BVAmazon infooriginally Sqrrl Data, Inc.ByteDance, originally TerarkParadigma Software
Initial release20082004201220161999
Current release5.3.6, November 2023Dec2023 (11.49), December 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMozilla Public License 2.0commercialcommercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 strategyno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsnonoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
C++ API
Java API
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes, in SQL, C, Rnonoyes
Triggersyes infoEventsyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone infoSource-replica replication available in experimental statusselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)nofine grained access rights according to SQL-standard

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More resources
HazelcastMonetDBSqrrlTerarkDBValentina Server
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