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DBMS > Galaxybase vs. Hazelcast vs. Hyprcubd vs. Spark SQL vs. STSdb

System Properties Comparison Galaxybase vs. Hazelcast vs. Hyprcubd vs. Spark SQL vs. STSdb

Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionScalable, ACID-compliant native distributed parallel graph platformA widely adopted in-memory data gridServerless Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMSKey-value storeTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegalaxybase.comhazelcast.comhyprcubd.com (offline)spark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4
Technical documentationhazelcast.org/­imdg/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司HazelcastHyprcubd, Inc.Apache Software FoundationSTS Soft SC
Initial release2017200820142011
Current releaseNov 20, November 20215.3.6, November 20233.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache 2.0Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaJavaGoScalaC#
Server operating systemsLinuxAll OS with a Java VMhostedLinux
OS X
Windows
Windows
Data schemeStrong typed schemaschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes infoprimitive types and user defined types (classes)
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 strategynono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)JDBC
ODBC
.NET Client API
Supported programming languagesGo
Java
Python
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresuser defined procedures and functionsyes infoEvent Listeners, Executor Servicesnonono
Triggersyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnonenone
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 AlgorithmEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.yesyesnono
User concepts infoAccess controlRole-based access controlRole-based access controltoken accessnono

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More resources
GalaxybaseHazelcastHyprcubdSpark SQLSTSdb
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