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DBMS > Hyprcubd vs. Lovefield vs. RethinkDB vs. Splice Machine

System Properties Comparison Hyprcubd vs. Lovefield vs. RethinkDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonLovefield  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSEmbeddable relational database for web apps written in pure JavaScriptDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitehyprcubd.com (offline)google.github.io/­lovefieldrethinkdb.comsplicemachine.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrethinkdb.com/­docssplicemachine.com/­how-it-works
DeveloperHyprcubd, Inc.GoogleThe Linux Foundation infosince July 2017Splice Machine
Initial release201420092014
Current release2.1.12, February 20172.4.1, August 20203.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScriptC++Java
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes infostring, binary, float, bool, date, geometryyes
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 indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsgRPC (https)JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptC infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
TriggersnoUsing read-only observersClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding inforange basedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datanoyesyes infoMVCC basedyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controltoken accessnoyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standard

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More resources
HyprcubdLovefieldRethinkDBSplice Machine
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