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DBMS > Hazelcast vs. Hypertable vs. LeanXcale vs. Microsoft Access vs. Microsoft Azure Table Storage

System Properties Comparison Hazelcast vs. Hypertable vs. LeanXcale vs. Microsoft Access vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHypertable  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridAn open source BigTable implementation based on distributed file systems such as HadoopA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft 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.)A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelKey-value storeWide column storeKey-value store
Relational DBMS
Relational DBMSWide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitehazelcast.comwww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationhazelcast.org/­imdg/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperHazelcastHypertable Inc.LeanXcaleMicrosoftMicrosoft
Initial release20082009201519922012
Current release5.3.6, November 20230.9.8.11, March 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 strategyno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesno
SQL infoSupport of SQLSQL-like query languagenoyes infothrough Apache Derbyyes infobut not compliant to any SQL standardno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
C++ API
Thrift
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnoyes infosince Access 2010 using the ACE-engineno
Triggersyes infoEventsnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapselectable replication factor on file system levelnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
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 controlnono infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signatures

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More resources
HazelcastHypertableLeanXcaleMicrosoft AccessMicrosoft Azure Table Storage
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