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DBMS > GBase vs. Hazelcast vs. LevelDB vs. Linter vs. Prometheus

System Properties Comparison GBase vs. Hazelcast vs. LevelDB vs. Linter vs. Prometheus

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonLevelDB  Xexclude from comparisonLinter  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDBMS for high security requirementsOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.gbase.cnhazelcast.comgithub.com/­google/­leveldblinter.ruprometheus.io
Technical documentationhazelcast.org/­imdg/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdprometheus.io/­docs
DeveloperGeneral Data Technology Co., Ltd.HazelcastGooglerelex.ru
Initial release20042008201119902015
Current releaseGBase 8a, GBase 8s, GBase 8c5.3.6, November 20231.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoBSDcommercialOpen Source infoApache 2.0
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 languageC, Java, PythonJavaC++C and C++Go
Server operating systemsLinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesNumeric data only
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.yesyes infothe object must implement a serialization strategynonono infoImport of XML data possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query languagenoyesno
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP/JSON API
Supported programming languagesC#.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
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesnoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesyes infoEventsnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapnoneSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesRole-based access controlnofine grained access rights according to SQL-standardno

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More resources
GBaseHazelcastLevelDBLinterPrometheus
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