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DBMS > Cachelot.io vs. Splice Machine vs. Transwarp Hippo vs. Yanza

System Properties Comparison Cachelot.io vs. Splice Machine vs. Transwarp Hippo vs. Yanza

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitecachelot.iosplicemachine.comwww.transwarp.cn/­en/­subproduct/­hippoyanza.com
Technical documentationsplicemachine.com/­how-it-works
DeveloperSplice MachineYanza
Initial release2015201420232015
Current release3.1, March 20211.0, May 2023
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoAGPL 3.0, commercial license availablecommercialcommercial 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++JavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringno
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 indexesnoyesnono
SQL infoSupport of SQLnoyesnono
APIs and other access methodsMemcached protocolJDBC
Native Spark Datasource
ODBC
RESTful HTTP APIHTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavanono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rightsno

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More resources
Cachelot.ioSplice MachineTranswarp HippoYanza
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