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DBMS > GBase vs. Hazelcast vs. IBM Db2 Event Store vs. Linter vs. Lovefield

System Properties Comparison GBase vs. Hazelcast vs. IBM Db2 Event Store vs. Linter vs. Lovefield

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLinter  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesRDBMS for high security requirementsEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSKey-value storeEvent Store
Time Series DBMS
Relational DBMSRelational 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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websitewww.gbase.cnhazelcast.comwww.ibm.com/­products/­db2-event-storelinter.rugoogle.github.io/­lovefield
Technical documentationhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperGeneral Data Technology Co., Ltd.HazelcastIBMrelex.ruGoogle
Initial release20042008201719902014
Current releaseGBase 8a, GBase 8s, GBase 8c5.3.6, November 20232.02.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaC and C++C and C++JavaScript
Server operating systemsLinuxAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLStandard with numerous extensionsSQL-like query languageyes infothrough the embedded Spark runtimeyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
JavaScript
Server-side scripts infoStored proceduresuser defined functionsyes infoEvent Listeners, Executor Servicesyesyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesyes infoEventsnoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated MapActive-active shard replicationSource-replica replicationnone
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 AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
GBaseHazelcastIBM Db2 Event StoreLinterLovefield
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