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DBMS > Hazelcast vs. Hyprcubd vs. Spark SQL vs. Transwarp ArgoDB

System Properties Comparison Hazelcast vs. Hyprcubd vs. Spark SQL vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridServerless Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitehazelcast.comhyprcubd.com (offline)spark.apache.org/­sqlwww.transwarp.cn/­en/­product/­argodb
Technical documentationhazelcast.org/­imdg/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperHazelcastHyprcubd, Inc.Apache Software FoundationTranswarp
Initial release20082014
Current release5.3.6, November 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoScala
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyes
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 strategynono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)JDBC
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesnono
Triggersyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlRole-based access controltoken accessno

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More resources
HazelcastHyprcubdSpark SQLTranswarp ArgoDB
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