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DBMS > Hypertable vs. Oracle Coherence vs. Spark SQL vs. Yanza

System Properties Comparison Hypertable vs. Oracle Coherence vs. Spark SQL vs. Yanza

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSpark SQL  Xexclude from comparisonYanza  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopOracles in-memory data grid solutionSpark SQL is a component on top of 'Spark Core' for structured data processingTime Series DBMS for IoT Applications
Primary database modelWide column storeKey-value storeRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#129  Overall
#22  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.oracle.com/­java/­coherencespark.apache.org/­sqlyanza.com
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherencespark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHypertable Inc.OracleApache Software FoundationYanza
Initial release2009200720142015
Current release0.9.8.11, March 201614.1, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScala
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
All OS with a Java VMLinux
OS X
Windows
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansnonono
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsno
APIs and other access methodsC++ API
Thrift
JCache
JPA
RESTful HTTP API
JDBC
ODBC
HTTP API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
Java
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnononono
Triggersnoyes infoLive Eventsnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyes, with selectable consistency levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoconfigurablenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoauthentification to access the cache via certificates or http basic authenticationnono

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More resources
HypertableOracle CoherenceSpark SQLYanza
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