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DBMS > HEAVY.AI vs. Lovefield vs. Oracle Coherence vs. Riak TS vs. Transwarp StellarDB

System Properties Comparison HEAVY.AI vs. Lovefield vs. Oracle Coherence vs. Riak TS vs. Transwarp StellarDB

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRiak TS  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScriptOracles in-memory data grid solutionRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSKey-value storeTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefieldwww.oracle.com/­java/­coherencewww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­en/­middleware/­standalone/­coherencewww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperHEAVY.AI, Inc.GoogleOracleOpen Source, formerly Basho TechnologiesTranswarp
Initial release2016201420072015
Current release5.10, January 20222.1.12, February 201714.1, August 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAJavaScriptJavaErlang
Server operating systemsLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VMLinux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesnoyesnorestricted
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnoyes, limitedSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JCache
JPA
RESTful HTTP API
HTTP API
Native Erlang Interface
OpenCypher
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript.Net
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnononoErlang
TriggersnoUsing read-only observersyes infoLive Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyes, with selectable consistency levelselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoauthentification to access the cache via certificates or http basic authenticationnoyes

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LovefieldOracle CoherenceRiak TSTranswarp StellarDB
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