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DBMS > Hazelcast vs. IBM Db2 warehouse vs. ObjectBox vs. Sqrrl

System Properties Comparison Hazelcast vs. IBM Db2 warehouse vs. ObjectBox vs. Sqrrl

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonObjectBox  Xexclude from comparisonSqrrl  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 gridCloud-based data warehousing serviceLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeRelational DBMSObject oriented DBMS
Vector DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitehazelcast.comwww.ibm.com/­products/­db2/­warehousegithub.com/­objectbox
objectbox.io
sqrrl.com
Technical documentationhazelcast.org/­imdg/­docsdocs.objectbox.io
DeveloperHazelcastIBMObjectBox LimitedAmazon infooriginally Sqrrl Data, Inc.
Initial release2008201420172012
Current release5.3.6, November 20234.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialBindings are released under Apache 2.0 infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++Java
Server operating systemsAll OS with a Java VMhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyes
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 infoImport/export of XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
Proprietary native APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesPL/SQL, SQL PLnono
Triggersyes infoEventsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesData sync between devices allowing occasional connected databases to work completely offlineselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
HazelcastIBM Db2 warehouse infoformerly named IBM dashDBObjectBoxSqrrl
News

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17 September 2024

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11 September 2024

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24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
HazelcastIBM Db2 warehouse infoformerly named IBM dashDBObjectBoxSqrrl
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