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DBMS > Axibase vs. Databricks vs. GBase vs. Hazelcast vs. Linter

System Properties Comparison Axibase vs. Databricks vs. GBase vs. Hazelcast vs. Linter

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDatabricks  Xexclude from comparisonGBase  Xexclude from comparisonHazelcast  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A widely adopted in-memory data gridRDBMS for high security requirements
Primary database modelTime Series DBMSDocument store
Relational DBMS
Relational DBMSKey-value storeRelational 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
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.databricks.comwww.gbase.cnhazelcast.comlinter.ru
Technical documentationdocs.databricks.comhazelcast.org/­imdg/­docs
DeveloperAxibase CorporationDatabricksGeneral Data Technology Co., Ltd.Hazelcastrelex.ru
Initial release20132013200420081990
Current release15585GBase 8a, GBase 8s, GBase 8c5.3.6, November 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonJavaC and C++
Server operating systemsLinuxhostedLinuxAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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.noyesyesyes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languagewith Databricks SQLStandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
C API
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
PHP
Python
R
Ruby
Python
R
Scala
C#.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesuser defined functionsyes infoEvent Listeners, Executor Servicesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersyesyesyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyesyes infoReplicated MapSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
AxibaseDatabricksGBaseHazelcastLinter
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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AxibaseDatabricksGBaseHazelcastLinter
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