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DBMS > Hazelcast vs. HBase vs. LevelDB vs. Transbase

System Properties Comparison Hazelcast vs. HBase vs. LevelDB vs. Transbase

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA widely adopted in-memory data gridWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitehazelcast.comhbase.apache.orggithub.com/­google/­leveldbwww.transaction.de/­en/­products/­transbase.html
Technical documentationhazelcast.org/­imdg/­docshbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperHazelcastApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleTransaction Software GmbH
Initial release2008200820111987
Current release5.3.6, November 20232.3.4, January 20211.23, February 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache version 2Open Source infoBSDcommercial infofree development license
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 languageJavaJavaC++C and C++
Server operating systemsAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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 strategynonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infoCoprocessors in Javanoyes
Triggersyes infoEventsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate 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 commitedSingle row ACID (across millions of columns)noyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
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 controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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More resources
HazelcastHBaseLevelDBTransbase
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