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DBMS > Apache Druid vs. Hazelcast vs. jBASE vs. Microsoft Access

System Properties Comparison Apache Druid vs. Hazelcast vs. jBASE vs. Microsoft Access

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHazelcast  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA widely adopted in-memory data gridA robust multi-value DBMS comprising development tools and middlewareMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeMultivalue DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitedruid.apache.orghazelcast.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdruid.apache.org/­docs/­latest/­designhazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9developer.microsoft.com/­en-us/­access
DeveloperApache Software Foundation and contributorsHazelcastRocket Software (formerly Zumasys)Microsoft
Initial release2012200819911992
Current release29.0.1, April 20245.3.6, November 20235.71902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2; commercial licenses availablecommercialcommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
All OS with a Java VMAIX
Linux
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.noyes infothe object must implement a serialization strategyyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query languageEmbedded SQL for jBASE in BASICyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Basic
Jabbascript
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyesyes infosince Access 2010 using the ACE-engine
Triggersnoyes infoEventsyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoReplicated Mapyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlAccess rights can be defined down to the item levelno infoa simple user-level security was built in till version Access 2003

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More resources
Apache DruidHazelcastjBASEMicrosoft Access
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