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DBMS > Hazelcast vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison Hazelcast vs. Kyligence Enterprise vs. Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. OrigoDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridA distributed analytics engine for big data, built on top of Apache KylinElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used in-process key-value storeA fully ACID in-memory object graph database
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitehazelcast.comkyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.com
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docs
DeveloperHazelcastKyligence, Inc.MicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release20082016201619942009 infounder the name LiveDB
Current release5.3.6, November 202318.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsAll OS with a Java VMLinuxhostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoUser defined using .NET types and collections
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 strategynonoyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NET
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageANSI SQL for queries (using Apache Calcite)yesyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQLnoyes
Triggersyes infoEventsnoyes infoonly for the SQL APIyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapyesSource-replica replicationSource-replica replication
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 Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole-based access controlyesnoRole based authorization

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More resources
HazelcastKyligence EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle Berkeley DBOrigoDB
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